scientific research group in egypt...

89
Scientific Research Group in Egypt (SRGE) Annual Report January, 1 st Can you imagine our life without scientific research? Obviously, the answer is "without scientific research our world would suffer a lot". There is no doubt that it plays an important role in our daily life. It gives us effective means for developing our activities in all fields of life including health, industry, education, energy and many more. The current achievements of science and research can be abused as happened in the field of atomic energy but science and research must continue to be the basic tools for construction, development, and spreading peace for the sake of having a better future for the mankind. This Research Groups bring together active Egyptian researchers and those with a professional interest in a particular aspect of computational intelligent, intelligent environment, network security, machine learning, bioinformatics and biomedical and related disciplines. As well as build and maintain close relationship with Egyptian researchers, groups, and organizations. Professor Aboul Ella Hassanien SRGE Founder and Chair Information Technology Dept. Faculty of Computers and Information, Cairo University 5102

Upload: others

Post on 09-Apr-2020

18 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

Scientific Research

Group in Egypt

(SRGE)

Annual

Report January, 1

st

Can you imagine our life without scientific research?

Obviously, the answer is "without scientific research our

world would suffer a lot". There is no doubt that it plays an

important role in our daily life. It gives us effective means

for developing our activities in all fields of life including

health, industry, education, energy and many more. The

current achievements of science and research can be

abused as happened in the field of atomic energy but

science and research must continue to be the basic tools for

construction, development, and spreading peace for the

sake of having a better future for the mankind. This

Research Groups bring together active Egyptian

researchers and those with a professional interest in a

particular aspect of computational intelligent, intelligent

environment, network security, machine learning,

bioinformatics and biomedical and related disciplines. As

well as build and maintain close relationship with Egyptian

researchers, groups, and organizations.

Professor

Aboul Ella Hassanien

SRGE Founder and Chair

Information Technology Dept. Faculty

of Computers and Information, Cairo

University

5102

Page 2: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

1 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

SRGE Objectives

To encourage and make it easy for the Egyptian

young researchers to cooperate and increase their

contribution in academic research.

Help investigating the usage of the

computational intelligence expertise to address

challenging real-life problems in different

branches of science.

To strengthen scientific and technological

excellence on a particular research area.

To integrate the various research efforts of the

scientific team to be a source of innovation on

possible scientific, technological and socio-

economic trajectories to mould the future of

Machine Intelligence and applications

To produce Master/PhD graduates:

- who can conduct high quality academic research,

- who can publish their research in high quality

academic journals

- who can obtain tenure track faculty positions at

high ranking research universities

- who are good teachers, and more generally

who are good academics

AISI2015 Conference – Cairo University

حداث ألهم اأ ل لألنظمة األو الدوليتنظيم المؤتمر

5102وعلوم الحاسب الذكية

: منها متنوعة عمل ورش

وتهميش الحاضر الماضياألقزام بين عظمة

حفل تكريم لألعضاء المتميزين

Page 3: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

2 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

أهم الفعاليات خالل العام 5102

تنظيم العديد من ورش العمل في الجامعات المصرية، وإلقاء محاضرات وندوات علمية

بعدد من المدن المصرية ميدانية بحثية وخيريةطالبية وإضافة إلى أنشطة

Page 4: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

3 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

SRGE Members

SRGE Founder and Chair

Aboul-Ella Hassanien (Abo) Email: [email protected] Professor

SRGE Vice Chairs

Nashwa El-Bendary [email protected] Associated Professor

Tarek Gaber [email protected] Associated Professor

Ph.D. Members and Researchers

Name Email Position

Eid Emary [email protected] Assistant Professor

Faculty of Computers and

Information, Cairo University

Noura A. Semary

[email protected] Assistant Professor

Faculty of Computers and

information, Menofia University

Mohamed Mostafa Eltaweel,

[email protected]

Assistant Professor

Arab Academy for Science,

Technology, and Maritime

Transport

Yasser Mahmoud Awad

[email protected] Assistant Professor

Faculty of Agriculture,

Suez Canal University,

Mohamed Tahoun [email protected] Assistant Professor

Faculty of Computers &

Informatics,

Suez Canal University

Amira S. Abdel-Aziz [email protected] Assistant Professor

Universit´e Francaise d’Egypte,

Cairo

Mahmood A. Mohamed [email protected] Assistant Professor

Institute of Statistical Studies and

Researches (ISSR) Cairo

University

Mohamed Yehia Zahab [email protected] Assistant Professor

King Abdulaziz University

Faculty of Computing and

Information Technology

Department of Computing

Science.

Hany Soliman [email protected] Systems Engineering at Faculty of

Engineering, Ain Shams

Page 5: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

4 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

SRGE Ph.D. Students

Name Email Position

Hanaa El Chazly [email protected] Faculty of Computers and

Information, Cairo University Ossama Alshabrawy [email protected] Dept. of Mathematics and

Computer Science, Faculty of

Science, Damietta University,

Damietta, Egypt

Reham Gharbia [email protected] Nuclear Materials Authority

Hossam Zawbaa [email protected] Faculty of Computers and

Information, BeniSuef

University

Mahir Alsharif [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University

Mohamed Zaki [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University

Ahmed M. Anter [email protected] Faculty of Computers and

Information, CS Department,

Mansoura University, Egypt

Alaa Tharwat [email protected] Electrical Engineering

University

Mona Ali

[email protected]

Faculty of Computers &

Informatics, Minia University

Fatma H. Ismail h. ismail_taha@informatique-

eg.com

Maryam Hazman [email protected] Central Laboratory for

Agricultural Expert System,

Agricultural Research Center

Heba Eid [email protected] Faculty of Science, Al Azhar

University

Ayman Taha [email protected] Faculty of Computers and

Information, Cairo University

Hamdi Mahmoud [email protected] Faculty of Computers and

Information, BeniSuef University

Mona Soliman [email protected] Faculty of Computers and

Information, Cairo University

Ahmed Hamza Asad [email protected] Institute of Statistical Studies and

Researches (ISSR) Cairo

University Abdelhameed Ibrahim

: [email protected]

Assistant Professor at Faculty of Engineering, Mansoura University

Page 6: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

5 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Department, Suez Canal

University, Fac. of Eng.

Ismailia, EGYPT

Ragia A. Ibrahim [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University Islam Amin [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University

Ahmed Hassan [email protected] Computer Science Department,

Faculty of Computer and

Information, Benha University,

Benha

Usama Mokhtar [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University

Saleh Esmate [email protected] Faculty of Veterinary

Medicine, Cairo University

Sameh Hassanien Basha

[email protected] Mathematics Department,

Faculty Of Science, Cairo

University.

Ashraf Hendam [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University

Abdalla Mostafa [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University

Kadry Ali Ezzat

[email protected] Biomedical Engineering

Department, Higher

Technological Institute 10th of

Ramdan city

SRGE Master Students

Name Email Position

Esraa Mohammed [email protected] Faculty of Computers and

Information, Fayoum

University, Fayoum - Egypt Hend Hussein serry ali [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University

Walaa H. Elmasry [email protected] Faculty of Computers and

Information, Cairo University

Gehad Hassan [email protected] Faculty of Computers and

Information, Fayoum

University

Page 7: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

6 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Ahmed Hamdy [email protected] Faculty of Computers and

Information, Cairo University

Ahmed Zaki Abdelwahb [email protected] Faculty of Computers and

Information, Cairo University

Ahmed Ibrahem Hafez [email protected] Faculty of Computer and

Information, Minia University,

Minia – Egypt

Heba Mohamed Ayeldeen [email protected] Faculty of Computers and

Information, Cairo University

Shaimaa Ahmed [email protected] Faculty of Computers and

Information, Cairo University

Moetaz Kilany [email protected] Faculty of Computers and

Information, Minia University

Moustafa Zein [email protected] Computer Science

Department, Thebes Academy

-Cairo - Egypt

Eslam Ali Hassan [email protected] Faculty of Computers and

Information, Cairo University

Rania Elesawy [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University

Waleed Yamany [email protected] Faculty of Computers and

Information, Fayoum

University

Moustafa Mahmoud Faculty of Computers and

Information, Minia University

Asmaa Sweidan [email protected]

Faculty of Computers and

Information, Fayoum

University, Fayoum - Egypt

Mai Salem [email protected] Faculty of Computers and

Information, Cairo University

Asmaa Hashem Abd El-

tawab

[email protected] Faculty of Computers and

Information, Fayoum

University, Fayoum - Egypt

Ehab Hamdy [email protected] Faculty of Computers and

Information, Minia University

Moetaz Kilany [email protected] Faculty of Computers and

Information, Minia University

Rehab mahmoud [email protected]

Faculty of Computers and

Information, Fayoum

University, Fayoum - Egypt

Mona Abbass [email protected]

Central Laboratory for

Agricultural Expert System,

Agricultural Research Center

Gehad Ismail [email protected] Faculty of Computers and

Page 8: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

7 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Information, Cairo University

Undergraduate Students

Name Email Position

Hassan Aboul Ella

Hassanien

[email protected] Faculty of Veterinary Medicine,

Cairo University

Pre-doctor SRGE Students

Name Email Position

Rasha Wahid Abd Elreheem [email protected] Al-Azhar University, Faculty of

Science, Cairo,

Abdalla Mostafa Abdalla [email protected] Institute of Statistical Studies and

Researches Cairo University

Sara Abdelghafar [email protected] Al-Azhar University, Faculty of

Science, Cairo,

Mourad Raafat [email protected] Mathematics Department, Faculty

of Science, Helwan university

Abder-Rahman Ali [email protected] Scientific Research Group in

Egypt

Mohamed Abdelfata [email protected] Scientific Research Group in

Egypt

Local Collaborative Researchers

Name Email Position

Samar Kassim [email protected] Ain Shams University -

Faculty of Medicine Mohamed Fahmy Tolba [email protected] Ain Shams University, Faculty

of Computers and Information

Aly Aly Fahmy [email protected] Faculty of Computers and

Information, Cairo University

Hoda M.Onsi [email protected] Faculty of Computers and

Information, Cairo University

Sanaa El Ola [email protected] Faculty of Computers and

Information, Cairo University

Hesham Hefny [email protected] Institute of Statistical Studies

and Researches (ISSR) Cairo

University

Abeer El_korany [email protected] Faculty of Computers and

Information, Cairo University

Mohamed Elsayed

Ghoneim

[email protected] Mathematics department,

Faculty of Science, Damietta

University, Egypt

Ahmed Taher [email protected] Faculty of Computers and

Information, Benha University,

Egypt

Page 9: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

8 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Mohamed Abu ElSou [email protected] Faculty of Computers and

Information, CS Department,

Mansoura University, Egypt

Ashraf khodier [email protected] Faculty of Science, Ain Shams

University

Ali Ismail Awad [email protected] Faculty of Engineering

Al Azhar University, Qena,

Egypt

International Collaborative Researchers

Name Email Position

Ajith Abraham [email protected] Machine Intelligence Research

Labs, USA

Dominik Selzak [email protected] Warsaw Institute of

Technology, Poland

Emilio Corchado [email protected] University of Burgos, Spain

James Peters [email protected] Department of Electrical and

Computer Engineering University

of Manitoba

Jan Platos [email protected] VSB-Technical University of

Ostrava, Czech Republic

Kazumi Nakamatsu [email protected] University of Hyogo , Hyogo,

Japan

Robert C. Berwick [email protected] Massachusetts Institute of

Technology (MIT)

Soumya Banerjee

[email protected] Birla Institute of Technology,

India

Milos Kuaelka [email protected] VSB-Technical University of

Ostrava, Czech Republic

Václav Snášel [email protected] VSB-Technical University of

Ostrava, Czech Republic

Tai-Hoon Kim [email protected]

Kai Xiao [email protected] Shanghai Jiao Tong University,

China

Qiangfu Zhao [email protected] Aizu Tong University, Japan

Qing Tan [email protected] Athabasca University, Canada

Soumya Banerjee [email protected] Department of Computer

Science, Birla Institute of

Technology, Mesra, India

Manash Sarkar [email protected] Department of Computer

Science, Birla Institute of

Technology, Mesra, India

Eiman Tamah Al-

Shammari

[email protected] Kuwait Univ., Faculty of

Computing Science and Eng. Adel M. Alimi [email protected] REGIM-Lab., University of

Page 10: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

9 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Sfax, BP 1173, Sfax, Tunisia Ning Zhang

[email protected] School of Computer Science

Universtiy of Manchester

Manchester, UK Micael Couceiro [email protected]

Institute of Systems and Robotics,

Polo II, Pinhal de Marrocos,

University of Coimbra, Portugal Nilanjan Dey [email protected] Bengal College Engineering and

Technology, India

Amr Ahmed [email protected] The University of Lincoln, UK

Page 11: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

10 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

SRGE Tracks and Directions

Direction-I: Intelligent Technology for Disabled People

Direction-II Intelligent Environment and Applications

Direction III Computational Intelligence and Optimization

Direction-IV: Network and Information Security

Direction-V: Bio-informatics and Bio-medical Engineering

Direction-VI: Social networks and graph mining

Direction VII: Animal Identification

Direction VIIII: Cheminformatics

Page 12: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

11 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Direction-I: Intelligent technology for

elderly and disabled people

Direction Chair

Direction Objective

Elderly and disabled people compose a segment of the population that would profit very

much from Ambient Intelligence if it is accessible. This is only possible if accessibility

barriers are early detected in the evolution of the Ambient Intelligence. Disability is

generally seen as a curse and people with disabilities are often considered as a burden

on their families and communities. All this can change when these people are offered a

chance to demonstrate their talents. The Intelligent technology for Disabled People

subgroup at theSRGE focuses on the recent technology including the computer vision,

speech processing, e-learning, image processing and object recognition in complex

domains. The challenge of this group is to address these technologies in the broader

context of Artificial Intelligence, and to integrate techniques from empirical evaluation

and machine learning. Group goal is to use these techniques to develop computer vision

systems whose behaviors are both reliable and understood. Research points are:

- Text to speech processing

- Document management for blind and visual impairment

- Developing Games for blind and visual impairment

- Mobil applications for blind and visual impairment

- Automatic Sign Language (ASL) Recognition for Deaf-Blind

people

- Intelligent Mobile Interaction: A Learning System for Mentally

Disabled People - Smart Home Applications for disabled

- Smart Home Applications for disabled - Prediction and Analysis of Seizure Propagation

Page 13: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

12 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Direction-II: Intelligent environment and

applications

Direction Chair

Direction Objective

Intelligent environment is any space where ubiquitous

technology informs the learning process in an unobtrusive, social

or collaborative manner. Thus an intelligent environment can be

an aware room or building, capable of understanding something

about the context of its inhabitants or workers. The objective and

mission of the Intelligent Environment group is to use the

technologies of computational intelligence and wireless sensor

networks in order to solve some environmental-related problems;

such as water and air pollution monitoring and alerting, as well

as develop different smart environments that are automatically

adjustable depending on users’ preferences. On the other hand,

adding a wireless dimension to biometric identification systems

(BIS) provides a more efficient and reliable method of identity

management across criminal justice and civil markets. The

research topics that are currently being carried out by the IE

group are:

- Smart Reading Environments (Intelligent Classroom)

Intelligent Lighting system

- Intelligent Water/Air Quality Monitoring

- Biometrics over communication

- Structural Health Monitoring (SHM)

- Intelligent Environment for Tele-education

- Intelligent Health monitoring

- Intelligent Wireless Sensor Networks

- Intelligent traffic monitoring in vehicular WSN\

- Mobile Biometrics identification

Page 14: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

13 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Direction III Computational intelligence and

optimization

Direction Chair

Direction Objective

Computational Intelligence (CI) is the study of adaptive

techniques to enable or facilitate intelligent behavior in complex

and changing environments. These techniques are covered:

artificial neural networks, and some meta-heuristics techniques

like evolutionary computing (genetic algorithm (GA), genetic

programming (GP), differential evolution (DE), and scatter

search (SS), swarm intelligence (particle swarm optimization

(PSO), ant colony (AC), fish swarm optimization...), immune

system and fuzzy systems. Computational intelligence

techniques have been applied to solve many real word problems.

Most of these problems can be represented as an optimization

problem. Optimization is an important tool in decision science

and in the analysis of physical systems. In order to apply CI

techniques as an optimization technique, we must first identify

some objective, a quantitative measure of the performance of the

system under study (objective function). This objective could be

profit, time, potential energy ... Our goal is to find values of the

variables that optimize the objective. Often the variables are

restricted, or constrained, in some way. For instance, quantities

such as electron density in a molecule and the interest rate on a

loan cannot be negative.The research topics cover the following

applications:

- Protein 3D structure prediction

- Image processing (image fusion, image segmentation,...)

- Solving large scale global optimization problems

- Multi-objective optimization

- Data mining tasks (Classification, clustering...)

Page 15: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

14 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Direction-IV: Network and Information

Security

Direction Chair

Direction Aim

Different information technologies have enabled substantial growth in the

field of global economic. However, this makes these technologies rich

targets for criminal activity. Also, the reliance on electronic devices by

nearly all societies is exponentially increasing and holding valuable

information on personal computers or performing critical operations

through networks become very important for personals and companies. To

support these issues, network and information security are very crucial in

the current digital era. The Network and Information Security (NIS) group

aims to bring security concept and applications to the information society

whereas preserving persons’ rights, particularly the privacy of the persons.

NIS group focuses on application scenarios (e.g. secure electronic

commerce, implicit authentication, security of Wireless Sensor Network

(WSN), and digital content distribution), while investigating and

addressing different technical challenges in different areas, such as

cryptology, personal identification and biometrics, computer trust, security

awareness, access control and authentication, watermarking,

steganography and steganalysis, anonymity, unlinkability, information

hiding, privacy. Currently, members of NIS group are conducting research

in the following areas:

Digital Right Management

Implicit authentication

Access Control

Security Issues in Social Networks.

Security of WSN

Image authentication

Cryptanalysis

Biometrics including face, fingerprint, and iris print

Watermarking

Anonymity

Privacy

Page 16: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

15 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Direction-V: Bioinformatics and biomedical

engineering

Direction Chair

Direction Interests

The last few years have witnessed significant developments in

various aspects of Biomedical Informatics, including Bioinformatics,

Medical Informatics, and Biomedical Imaging. The explosion of

medical and biological data requires an associated increase in the

scale and sophistication of the automated systems and intelligent

tools to enable the researchers to take full advantage of the available

databases. This ranges from the effective storage of data and their

associated data models, to the design of efficient algorithms to

automate the data mining procedures, and also to the development of

advanced software systems to support data integration. With more

researchers taking on Bioinformatics projects that integrate

theoretical and applied concepts from both Bioscience as well as

Computational Sciences. The massive size of the current available

biological and medical databases and its high rate of growth want to

be focusing more than ever to maximize the use of these

databases.The Biomedical informatics group mission is to design

computer-based decision aids and develops decision support systems

for clinical decision making and scientific discovery using

computational intelligence and image processing technologies.

Currently, members of BI group are conducting research in the

following areas:

Bioinformatics

Medical image processing

Breast cancer analysis, (sonar, MRI, fMRI, CT)

Liver fibrosis and tumor analysis (biopsy, MRI, CT)

3D Dental image processing and visualization

Page 17: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

16 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Direction-VI: Social Networks and Graph

Mining

Direction Chair

Social Networks encourage the cross-disciplinary research integration of different

sciences such as computer science, engineering, biology, physics, anthropology, social

sciences, etc.. The main goal of this track is to improvise cross-disciplinary research

discussions that are of relevance to new and novel computer networking ideas,

applications and experimental results in the area of all forms of social networks in thre

form of Ph.D and MS quality projects. The research topics that are currently being

carried (2012-2013) out by the Social Informatics and Graph Mining group are:

Social networks analysis

Social information retrieval

The impact of social networking on future

Network Design

System design for Social Networks

Evolutionary Social science of Networks

Knowledge discovery from large Social

Networks

Page 18: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

17 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Direction VII: Animal Identification

Direction Chair

Tradition animal identification methods such as ear notching or even the

electrical identification methods like RFID are not able to provide

accurate and secure animal identification due to theft, fraudulent and

duplication. Adopting human biometric traits into animals is a

promising technology for animal identification domain, and overcomes

some of the traditional techniques limitations. In addition, it has many

applications such as animal classification, cattle tracking from birth to

the end of food chain, and understanding the animal diseases' trajectory

and population. Accordingly, some animal biometrics traits such as iris

patterns, vascular patterns and muzzle prints have been investigating for

animal identification. As a result, the biometrics-based animal

identification faces almost the same challenges of human identification

systems in terms of the system's response time and the identification

accuracy. These challenges need to be addressed in order to enhance the

biometrics system's performance. The research directions in The

Scientific Research Group in Egypt (SRGE) cover the information

security topics, and focus on animal identification as an interesting

branch of information security. The vision of the SRGE tries to couple

the Information Technology (IT) techniques with real time problems.

Addressing such problems will be beneficial for the individual

researchers, the society, and it can be diverse to overall the world.

Page 19: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

18 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Direction VIII: Cheminformatics

Direction Chair

The study of the role of the chemical compounds in the biological

systems has been further strengthened. The correlation between the

characteristics of the chemical compounds and its activity is utilized in

the prediction of the activity of any chemical compound. Chemists

provided a set of properties for different compounds named as

descriptors of these compounds. Each compound is characterized by a

set of Structural, Physiochemical, Topological and Geometrical

Descriptors. Toxicity is an activity of chemical compounds that has the

capacity of a substance to produce injury or illness. Toxicity testing

aims to evaluate what harm may be caused by exposure to chemicals,

including medicines, industrial and consumer products, and food

additives, to humans and the environment. Animal-based testing

causes millions of animals to suffer unalleviated pain and death has

questionable value for predicting human health effects.

Cheminformatics or Chemical informatics is the application of

information technology to help chemists to reduce the numbers of

chemical experiments by the prediction of the toxicity of the

compounds.

Page 20: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

19 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

SRGE Members

Professor Aboul Ella Hassanien

Qualifications: Aboul Ella Hassanien (Abo) received his B.Sc.

with honors in 1986 and M.Sc degree in 1993, both from Ain

Shams University, Faculty of Science, Pure Mathematics and

Computer Science Department, Cairo, Egypt. On September 1998,

he received his doctoral degree from the Department of Computer

Science, Graduate School of Science & Engineering, Tokyo

Institute of Technology, Japan.

Function::Dr Aboul Ella Hassanein is the Founder and Head of the

Egyptian Scientific Research Group (SRGE) and a Professor of

Information Technology at the Faculty of Computer and

Information, Cairo University. Professor Hassanien has more than

500 scientific research papers published in prestigious

international journals and over 30 books covering such diverse topics as data mining, medical images,

intelligent systems, social networks and smart environment. Research works and publications: Prof.

Hassanien is a collaborative researcher member of the Computational Intelligence Laboratory at the

Department of Electrical and Computer Engineering, University of Manitoba. He also holds the Chair of

Computer Science and Information Technology at the Egyptian Syndicate of Scientific Professions (ESSP).

Dr Hassanien is the founder and head of Africa Scholars Association in Information and Communication

Technology. His other research areas include computational intelligence, medical image analysis, security,

animal identification and multimedia data mining. Awards and prizes: Prof. Hassanien won several awards

including the Best Researcher of the Youth Award of Astronomy and Geophysics of the National Research

Institute, Academy of Scientific Research (Egypt, 1990). He was also granted a scientific excellence award

in humanities from the University of Kuwait for the 2004 Award, and received the superiority of scientific -

University Award (Cairo University, 2013). Also He honored in Egypt as the best reseracher in Cairo

Univesrity in 2013. He was also received the Islamic Educational, Scientific and Cultural Organization

(ISESCO) prize on Technology (2014) and received the state Award (جائزة الدولة)for excellence in engineering

sciences 2015. Community service:: Dr Hassanien’s great many activities in community and the

environment service include organizing 40 workshops hosted by a large number of universities in almost all

governorates of Egypt. He has been honored by a number of university presidents and governors for his

active engagement in community service. His other community service activities include promoting

awareness about the importance of ICT in promoting the lives and status of people, with particular focus on

the disabled, children of the internet and the homeless. Chief among these were the Egyptian disabled

celebrations, held on the theme “Partners in one world without barriers”, in addition to a workshop on

Smartphone’s techniques and their role in the development of visually impaired skills in various walks of life,

a conference on the role of communications and social networking technology in fostering integration of

persons with special needs amid present challenges, a workshop on protecting children from internet

hazards and several training workshops at various Egyptian universities.

Page 21: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

20 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Intelligent Environments (IE): Trends

and Applications Nashwa El-Bendary, Associated Professor

Arab Academy for Science, Technology, and Maritime Transport, Cairo, Egypt

Chair of Intelligent Environments (IE) Track- Scientific Research Group in Egypt (SRGE)

Email: [email protected], [email protected]

Abstract: Intelligent Environments (IEs) are spaces in which networked computing technologies are

seamlessly embedded to enhance people’s ordinary daily activities via creating interactive environments that

are sensitive and responsive to the presence of people. Various places people inhabit encompassing settings

such as homes, classrooms, factories, transport, clothing, etc., provide various types of IEs. Moreover, IEs

describe physical environments in which information and communication technologies and sensor systems

disappear as they become embedded into physical objects, infrastructures, and the surroundings in which we

live, travel, and work. Therefore, the main goal of developing IE applications is to allow computers to take

part in activities never previously involved and allow people to interact with computers via gesture, voice,

movement, and context. On the other hand, Intelligent Environments (IEs) can be considered as

environments with installed low cost intelligent sensor-network based monitoring systems to effectively

monitor environmental changes; such as variations in the conditions, patterns, and dynamics of air, water,

and land resources as well as enabling collecting and processing environmental data into information that

can be used for management and planning as well as prediction and recovery.

Nashwa El-Bendary: She received her Ph.D. degree in 2008 in Information

Technology from the Faculty of Computers and Information, Cairo University, Egypt.

She is an assistant professor at the Arab Academy for Science, Technology, and

Maritime Transport, Egypt. She is the chair of the Intelligent Environments (IE) track

of the Scientific Research Group in Egypt (SRGE). In the year 2013, she was a visiting

lecturer in University Teknologi Malaysia (UTM), KL, Malaysia, and then she was a

post-doctoral fellow in School of Computing and Information Systems, Athabasca University, Alberta,

Canada. Dr. Nashwa El-Bendary has published several papers in major international journals and peer-

reviewed international conference proceedings along with a number of book chapters. Her main research

interests are in the areas of Ambient Intelligence and Intelligent Environments, Ubiquitous Smart Systems,

Smart Environmental Monitoring, Mobile Computing and Technologies, Wireless Sensor Networks,

Machine Learning, and Image Processing. She currently co-advises master and Ph.D. students as well as

leading and supervising various graduation projects. Dr. Nashwa is a member of the editorial boards of a

number of international journals. She has also been a reviewer, technical program committee member,

special sessions/workshops co-chair, and has been invited as a speaker to several workshops and

international conferences.

Nashwa El-Bendary, Esraa El Hariri, Aboul Ella Hassanien, Amr Badr: Using machine learning

techniques for evaluating tomato ripeness. Expert Syst. Appl. 42(4): 1892-1905 (2015)

Page 22: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

21 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Thermal Imaging: Opportunities and Challenges for Breast

Cancer Detections

Name: Tarek Gaber Ph.D. in Computer Sciences (Information Security) Faculty of Computers & Informatics, Suez Canal University, Ismailia 41522, Egypt

Member of Scientific Research Group in Egypt (SRGE) (www.egyptscience.net) Email: [email protected]

Abstract. : Breast cancer is the most common cancer among women in the world. It is estimated that one

in eight women, all over the wide, would develop breast cancer during her life. The breast cancer is

considered one of the first-leading causes of cancer deaths among women. The early detection of breast

cancer could save many women's life. Mammogram is one of the most imaging technology used for

diagnosing breast cancer. Although mammogram has recorded a high detection and classification

accuracy, it is difficult in imaging dense breast tissues, its performance is poor in younger women, it is

harmful, and it could not detect breast tumor that less than 2 mm. To overcome these limitations, it was

found that there is a relation between the temperature and the presence of the breast cancer. Utilizing this

fact, infrared thermography could be a good source of breast images to study and detect the cancer at the

early stages which is crucial for cancer patients for increasing the rete of the breast cancer survival.

Tarek Gaber received a PhD degree from the University of Manchester in

Computer Science in 2012. He has worked as an Assistant Lecturer at many

universities including Faculty of Computers and Information Sciences, Ain

Shams University, and the School of Computer Science, University of

Manchester, Manchester, UK. Currently, he is an Assistant Professor at the

Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt,

and a Postdoctoral Fellow at Faculty of Electrical Engineering and Computer

Science, VSB Technical University of Ostrava, Czech Republic. Dr. Tarek has 30

publications at international conferences, journals, and book chapters. He is

currently supervising five MSc students.

Research Interest Image processing, pattern recognition, information security, machine learning, wireless

sensor network, and biometric authentication and identification

List of publications:

1- Tarek Gaber; Zahran, Gehad; Anter Ahmed; Mona Soliman; Ali Mona Abdelbaset Sadek, Semary,

Noura ; Aboul Alla, Hassanien ; Vaclav, Snasel: Thermogram Breast Cancer Detection Approach

based on Neutrosophic Sets and Fuzzy C-Means Algorithm, In the proceedings of the 37th Annual

International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2015),

IEEE, Milano, Italy, 25-29 August, 2015.

2- Tarek Gaber, Alaa Tharwat, Abdelhameed Ibrahim, Vaclav Snasel, Aboul Ella Hassanie, Human

Thermal Face Recognition Based on Random linear Oracle (RLO) Ensembles, In the proceedings of

7th INTERNATIONAL CONFERENCE ON INTELLIGENT NETWORKING AND

COLLABORATIVE SYSTEMS (INCoS-2015) , IEEE, Taipei, Taiwan, 2-4 Sept. 2015.

Page 23: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

22 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Colorization Method based on HSV Color Model for

Thermal Breast Cancer Enhancement

Noura Abd El-Moez Semary Assistant Professor (Ph.D.)

Scientific Research group in Egypt (www.egyptscience.net) Faculty of Computers and Information

Menofia University– EGYPT (32511)

Email: [email protected]

Fax: +204822223694

Abstract. Medical imaging is one of the most attractive topics of image processing and understanding research fields

due to the similarity between the captured body organs colors. Thermography is proven to be a good tool for detecting

breast cancer in early stages than that of mammography. Thermal camera can produce grayscale images. However, such

images are not appropriate for human interpretation but it is proven that a human (thermologists) can only discriminate

between a few dozen of gray level values where as they are able to distinguish thousands of colors. Thus, it is important

to provide the thermologists with breast thermal image such that they can find abnormal regions in these color images.

Pseudo-coloring of thermogram is one of the important methods achieving this aim (discriminating between the region

of interest (ROI) and the background (BG) parts). Most literature efforts suggested RGB-base color palettes. In this

paper, a thermal coloring method was proposed based on pseudo-coloring and it was compared with different coloring

methods. The proposed colorization method employs HSV color model to generate the desirable color scale. The

experiments have been performed on PROENG thermal images and the results show that the proposed methodology

could clearly discriminate between different temperature regions specially tumor regions.

Noura A. Semary works as an associated prof. in Faculty of Computers and Information,

Menofia University, Egypt. She has BSc in 2001 from Cairo University, Faculty of

Computers and Information. Worked as staff member in the Faculty of Computers and

Information, Menofia University, Egypt in 2003. In 2007 and 2011 she has obtained her

Master and Ph.D. degrees respectively in Information Technology from Computers and

Information Faculty at Menofia University. In 2009 she won the first rank in “Made in

Egypt” and “Made in Arab World” competitions for her project “Black and White

Movies Colorizer”. In 2012 she has joined The Scientific Research Group in Egypt

(SRGE). She has 25 publications in international conferences and journals. Also, she has

reviewed more than 10 papers for international conferences and journals in 2014. She is

also leading and supervising various graduation projects and post-graduate students.

Research Interest 1)Image Processing, 2) Computer Vision, 3) Data Compression, 4) Data Hiding,

5)Virtual Reality and 6) Assistive Technology.

Selected 2015 Publications

[1] Tarek Gaber, Gehad Zahran, Ahmed Anter, Soliman Mona, Mona Abdelbaset Sadek Ali, Noura Semary,

Hassanien Aboul Alla, Snasel Vaclav. Thermogram breast cancer detection approach based on Neutrosophic

sets and fuzzy c-means algorithm. 37th Annual International Conference of the IEEE Engineering in Medicine

and Biology Society (EMBC’15), Milano, Italy August 25-29, 2015

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7319334

[2] Faten Khalifa; Noura Semary; Hatem El-Sayed & Mohiy Hadhoud. Tarek Gaber; Aboul Ella Hassanien;

Nashwa El-Bendary (Eds.) Markerless Tracking for Augmented Reality Using Different Classifiers. The 1st

International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30,

2015, Beni Suef, Egypt, Springer International Publishing, 2016, 407, 25-35

http://link.springer.com/chapter/10.1007%2F978-3-319-26690-9_3#page-1

Page 24: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

23 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

The Field of Cheminformatic: Orphan Drug Legislation

System and Theoretical Similarity Searching strategy

Ammar Adl (Assistant Professor) Faculty of Computers and information

Bani-Suef University

Scientific Research Group in Egypt (SRGE)

Cairo – Egypt

E-mail: [email protected]

Abstract: Machine learning(ML) methodologies were applied in the past decade through hundreds of

researches to enrich Cheminformatics with high performance automatic prediction machines. The objective

of this article is to present the very recent researches of ML in the field of Cheminformatics, and to review

the history of each research through highlighting the earlier trials. We aim at introducing that review for

other researchers as an index for different trials and comparisons of ML techniques in Cheminformatics. We

present an approach to predict the activity of analogues of 2, 4, 6-trisubstituted 1, 3, 5-triazines as

cannabinoid receptor (CB2) agonists by using machine learning techniques. We compute twenty molecular

descriptors for a data set of 58 analogues for the component, and depending on the values of these

descriptors, we train random forest to find a relation between biological activity and molecular structure of

analogues. The orphan drug is a treatment for rare diseases that leads to the importance of orphan drug

development and discovery. To approve any orphan drug from the FDA, it is needed not to be similar to any

approved orphan drug, so the chemist’s opinion is the important to determine the probability of similarity. It

is too hard to check all orphan drugs for rare disease. It takes a long time and big efforts, so we introduce in

our research a system that classifies the orphan drugs based on their probability of structure similarity, and

compare between them and unauthorized orphan drugs, to determine the closest orphan drug to it. The

applications of QSAR are used to establish the correlation between structure and biological response. QSAR

represents the core of lead optimization in Drug Discovery. We introduce a theoretical similarity searching

strategy based on membrane computing in QSAR stages.

Ammar Adl received his Ph.D. degree in 2013 in Computer Science from the

Faculty of Computers and Information, Cairo University, Egypt. He is a member,

and chair of the Reality Mining track, in the Scientific Research Group in Egypt

(SRGE). His main research interests are in the areas of Mobility, Augmented

Reality, Reality Mining, Internet of Things, Telepresence, Game Design and

Architecture, Synthetic Biology, Bio-Inspired Computing, Cellular Automata,

Cybernetics and Robotics, Designing Cybernetic Organisms, Self-replicating

Machines, and Parapsychological Artificial Intelligence.

List of publications in 2015:

Ammar Adl, Moustafa Zein, Aboul Ella Hassanien: PQSAR: The membrane quantitative structure-activity

relationships in cheminformatics. Expert Syst. Appl. 54: 219-227 (2016)

Page 25: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

24 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Meta-heuristics techniques and

applications

Ahmed Fouad Ali, (Assistant Professor)

Scientific Research Group in Egypt (Member)

Faculty of Computer and Information, Suez Canal University

Email: [email protected]

Abstract: Metaheuristics are a branch of optimization in computer science and applied mathematics that are

related to algorithms and computational complexity theory. The past 20 years have witnessed the

development of numerous metaheuristics in various communities that sit at the intersection of several fields,

including artificial intelligence,computational intelligence, soft computing, mathematical programming, and

operations research. Most of the metaheuristics mimic natural metaphors to solve complex optimization

problems (e.g., evolution of species, annealing process, ant colony, particle swarm, immune system, bee

colony, and wasp swarm). My research focussing on applying the meta-heuristics techniques like (Genetic

algorithm, Tabu search, Simulated annealing, Particle swarm optimization...) to solve large scale

optimization problems, minimizing molecular potential energy function, image processing, etc.

Dr. Ahmed Fouad Ali. Received the B.Sc., M.Sc. and Ph.D. degrees in computer

science from the Assiut University in 1998, 2006 and 2011, respectively. Currently, he

is a Postdoctoral Fellow at Thompson Rivers University, Kamloops, BC

Canada. In addition, he is an Assistant Professor at the Faculty of Computers and

Informatics, Suez Canal University, Ismailia, Egypt. He served as a member of

computer science department Council from 2014-2015.

He worked as director of digital library unit at Suez Canal University; he is a member in SRGE (Scientific

Research Group in Egypt). He also served as a technical program committee member and reviewer in

worldwide conferences. Dr. Ali research has been focused on meta-heuristics and their applications, global

optimization, machine learning, data mining, web mining, bioinformatics and parallel programming. He has

published many papers in international journals and conferences

Selected Publication 2015:

Ahmed Fouad Ali, Aboul Ella Hassanien: A Simplex Nelder Mead Genetic

Algorithm for Minimizing Molecular Potential Energy Function. Applications of Intelligent Optimization in Biology and Medicine 2016: 1-21

Page 26: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

25 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Energy-aware Sink Node Localization Algorithm for

Wireless Sensor Networks

Mohamed Mostafa Fouad, (Assistant Professor) Member of Scientific Research Group in Egypt (SRGE)

Arab Academy for Science, Technology, and Maritime Transport (AASTMT) Email: [email protected]

Abstract: The road surface conditions information are very useful for the safety of road users and to inform

road administrators for conducting appropriate maintenance. Roughness features of road surface; such as

speed bumps and potholes, have bad effects on road users and their vehicles. Usually speed bumps are used

to slow motor-vehicle traffic in specific areas in order to increase safety conditions. On the other hand

driving over speed bumps at high speeds could cause accidents or be the reason for spinal injury. Therefore

informing road users of the speed bumps’ position through their journey on the road especially at night or

when lighting is poor would be a valuable feature. Therefore we exploited a mobile sensor computing

framework to monitor and assess road surface conditions. The framework is currently measured the changes

in the gravity orientation through a gyroscope and the shifts in the accelerometer’s indications, both as an

assessment for the existence of speed bumps.

Dr. Mohamed Mostafa received his M.Sc. degree in 2005 and Ph.D. degree in March

2012, both in Computer Science from the Faculty of Computers and Information,

Helwan University, Egypt. Currently, he is an assistant professor at the Business

Information System department, faculty of Management and Technology, at the Arab

Academy for Science, Technology, and Maritime Transport (AASTMT), Cairo, Egypt.

His main research interests are in the areas of Wireless Sensor Networks, Body Sensor

Networks, Intelligent Health Monitoring, Security, Machine Learning and Software

Engineering. He has published several papers in major international journals, book

chapters, and peer-reviewed international conference proceedings. In addition, he

currently advises a number of master students in addition to leading and supervising

various graduation projects. Dr. Mohamed is a member of theScientific Research Group in Egypt (SRGE). Moreover,

he is an IEEE member and a reviewer, technical program committee member, local arrangement committee member,

and special sessions' co-chair.

Research interest: Wireless Sensor Networks, Information Security and Machine Learning

Selected publications:

Mohamed Mostafa Fouad, Václav Snášel and Aboul Ella Hassanien Energy-aware Sink

Node Localization Algorithm for Wireless Sensor Networks, Int. Journal of Distributed

Sensor Networks, Volume 2015 (2015), Article ID 810356, 7 pages

http://www.hindawi.com/journals/ijdsn/2015/810356/

Mohamed Mostafa Fouad, Ahmed Ibrahem Hafez, Aboul Ella Hassanien, Vaclav Snasel

Grey Wolves Optimizer-based Localization Approach in WSNs, 11th IEEE

International Computer Engineering Conference, Cairo, EGYPT December 29-30, pp.

256 – 260, 2015

Page 27: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

26 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Mathematical optimization in intelligent

systems

E. Emary

Scientific Research Group in Egypt (Member)

Faculty of Computer and Information, Cairo University

Email: [email protected]

Abstract: Optimization is defined as the search for a combination of parameters commonly referred to as

decision variableswhich minimize or maximize some ordinal quantity; fitness. Intelligent systems always

help in decision making or makes decisions itself based on either formulating human experience or learning

from past examples. To reach acceptable performance in intelligent system quick and optimal training or

learning methods should depend on optimization to reach the training or learning goal(s). Intelligent systems

can be employed in many application areas such as medical image analysis in 2D or 3D, signal processing,

sensor networks, …

E. Emary, was born in Sharkia, Egypt in 1979. He received his B.Sc. degree in 2001 and

M.Sc. degree in 2003, from Faculty of Computers and Information, Information

Technology Dept., Cairo University, Egypt. Currently, he is a Lecturer at Information

Technology Dept., Faculty of Computers and Information, Cairo University, Egypt. He

has authored/co-authored over 15 research publications in peer-reviewed reputed journals,

book chapters and conference proceedings.He has served as the technical program

committee member of various international conferences and reviewer for various

international journals. His research interests are in the areas of computer vision, pattern recognition, video

and image processing, machine learning, data mining, and biometrics.

Selected publication:

1. Aboul Ella Hassanien, Eid Alamry, Swarm Intelligence: Principles, Advances, and

Applications, CRC – Taylor & Francis Group, 2015, ISBN 9781498741064 - CAT# K26721

2. Aboul Ella Hassanien, Eid Emary, Hossam M. Zawbaa: Retinal blood vessel localization

approach based on bee colony swarm optimization, fuzzy c-means and pattern search. J. Visual

Communication and Image Representation 31: 186-196 (2015)

Page 28: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

27 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Environmental Management and Intelligent

Environment: Climate Change and Pollution Impacts

on Agriculture and Possible Mitigation Technologies

Yasser Mahmoud Awad, (Assistant Professor)

Ph.D. in Environmental Sciences (Plant Ecology)

Member of Scientific Research Group in Egypt (SRGE)

Faculty of Agriculture, Suez Canal University, Ismailia 41522, Egypt

E-mail: [email protected]

Abstract: Environmental degradation is due to the depletion of natural resources, including air, water and

soil by mainly unsustainable human practices and activities. Specifically, intensification of agriculture and

anthropogenic activities threaten seriously the state of agroecosystem, reducing soil and water quality, as

well as crop production and food safety. Recently, climate change has pronounced impacts on agriculture in

Egypt as indicated by a low productivity of some crops according to the weather problem. Elevated CO2 and

temperature can alter not only photosynthetic enzyme activities, fruit ripeness and crop-water requirement,

but also the spreading of plant diseases due to the increase in humidity via high plant density or sporulation

of pathogens. Therefore, there is a necessity to develop novel technologies as innovative solutions to the

aforementioned problems because Egypt could experience increased pressures on food security.

Yasser M. Awad, is a lecturer at the Department of Agricultural Botany, Faculty of Agriculture,

Suez Canal University (SCU), Egypt. He received his B.Sc. (soil and water sciences) and M.Sc.

(agricultural botany), Faculty of Agriculture, SCU in 1997 and 2004, respectively. He received

his Ph.D. in environmental sciences (plant ecology), Department of Biological Environment,

College of Agriculture and Life Sciences, Kangwon National University (KNU), 200-701

Chuncheon, South Korea, 2012. His Ph.D. was conducted as a part of Doctoral Student

Exchange Program between KNU in Chuncheon, Korea and University of Bayreuth (UBT), in

Bayreuth, Germany through a joint Education and International Research Training Project

funded by DFG/KOSEF(project title: Complex TERRain and ECOlogical Heterogeneity

"TERRECO"). He also served as a researcher in several international projects (2009-2012)

dealing with agroecosystem management and safety assessment of toxic metals and antibiotics

in the agricultural environment (soil and water). He has published 16 papers in international

journals and conferences.

Research Interest Research interests: 1) Best management practices to mitigate climate change and environmental

pollution (technologies for reduction of soil erosion and maintenance of soil/water quality), 2)

Diagnosis and quantification of plant responses to environmental stress using WSNs and expert

systems (drought, and crop-diseases using the thermal imaging), 3) Phytoremediation, and 4)

Organic farming and sustainable agriculture (intelligent aquaponic system and greenhouse).

Selected References

Awad, Y.M., Abdullah, A.A., Bayoumi, T.Y., Abd-Elsalam, K., Hassanien, A.E. (2015). Early Detection of

Powdery Mildew Disease in Wheat (Triticum aestivum L.) Using Thermal Imaging Technique. The Institute

of Electrical and Electronics Engineers (IEEE) Intelligent Systems IS’14 Conference: Theory and

Applications, pp. 755-765, 24–26 September 2014, Warsaw, Poland.

Abdel Salam, M., Mahmood, M.A., Awad, Y.M., Maryam Hazman, Nashwa El Bendary, Hassanien, A.E.,

Tolba, M., Vaclav Snasel and Saleh, S.M. (2014).Climate recommender system for wheat cultivation in

North Egyptian Sinai Peninsula. In Proceedings of the Fifth International Conference on Innovations in Bio-

Inspired Computing and Applications IBICA 2014, Advances in Intelligent Systems and Computing Volume

303, pp. 121-130, Springer International Publishing, 23–25 June, Ostrava, Czech Republic.

Page 29: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

28 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Automatic Fruit Image Recognition System

Maryam Hazman

Ph.D. Computer Sciences (Web Mining)

Member in Scientific Research Group in Egypt (SRGE) Central Laboratory for Agricultural Expert System, Agricultural Research Center E-mail: [email protected]

Abstract: The aim of this paper is to develop an effective classification approach based on Scale Invariant

Feature Transform (SIFT) and Random Forest (RF) algorithms. Three fruits; i.e., apples, Strawberry, and

oranges were analysed and several features were extracted based on the fruits' shape, colour characteristics

as well as Scale Invariant Feature Transform (SIFT). A pre-processing phase using image processing to

prepare the fruit images dataset to reduce their color index is presented. The fruit image features is then

extracted. Finally, the fruit classification process is adopted using random forests (RF), which is a recently

developed machine learning algorithm. A regular digital camera was used to acquire the images, and all

manipulations were performed in a MATLAB environment. Experiments were tested and evaluated using a

series of experiments with 178 fruit images. It shows that RF based algorithm provides better accuracy

compared to the other well know machine learning techniques such as K-Nearest Neighborhood (K-NN) and

Support Vector Machine (SVM) algorithms. Moreover, the system is capable of automatically recognize the

fruit name with a high degree of accuracy.

Maryam Hazman is a Researcher at Central Lab for Agricultural Experts Systems,

Ministry of Agriculture and Land Reclamation. She received her Master Degree

from Cairo University with Thesis Title “Automatic Knowledge Acquisition Tool

for Scheduling Systems”. Also, she received her Ph.D Degree in Computer

Sciences & Information from Cairo University with Thesis Title “Knowledge

Discovery from the Web”. She has published 19 papers in international conferences

and journals.

Research

interest 1) Text and data mining, 2) Knowledge Engineering, 3)Knowledge Based System,

4) Information Management, and 5) Image Processing.

Selected Publication:

Page 30: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

29 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Artificial Immune Systems for

Network Intrusion Detection and

Classification

Amira Sayed Abdel-Aziz, (Ph.D.Student)

Scientific Research Group in Egypt (Member)

Assisting professor in UniversitéFrançaised’Egypte (UFE).

Email:[email protected]

Abstract: With the expanding and increasing use of networks and accumulating number of internet users,

network throughput has become massive and threats are more diverse and sophisticated. Network and

information security are of high importance, and research is continuous in these fields to keep up with the

increasing complexity of attacks. Intrusion Detection is a major research area that aims to identify suspicious

activities in a monitored system, from authorized and unauthorized users, by monitoring and analysing the

system activities. Using machine learning techniques in a hybrid system gives the benefit of dealing with

complex attacks, and implementing the system as a multi-agent system gives the benefit of having a

distributed protection system for the network. Wireless networks and cloud systems are a ripe field to

investigate the design and implementation of a Network Intrusion Detection System inspired by biological

immunity as a light-weight, dynamic, and efficient system for identifying attackers and different threats to

the environment.

Amira is a Ph.D. student in Cairo University, Faculty of Computers and Information –

Information Technology department. Amira received her B.Sc. in 2000 and M.Sc.

degree in 2008, from Faculty of Computers and Information – Information Technology

department, Cairo University. Amira also obtained a Software Development Skills

diploma in 2001 from Information Technology Institute, Cairo - Egypt. She works

currently as an assisting teacher/lecturer in Faculty of Business Administration and

Information Systems, in the French university in Egypt – UniversitéFrançaised’Egypte.

Her master topic was “Network Security Using Network Intrusion Detection Systems”

where an NIDS was implemented using Multivariate statistical analysis techniques

(Hotelling’s& MEWMA) for network security. Her current research for Ph.D. is in Multi-Agent Artificial

Immune Systems, for network security as well. Her research interests include Network Security, specifically

Network Intrusion Detection, Machine Learning, Computational Intelligence, Artificial Immune Systems,

Multi-Agent systems, and Data Mining.

Page 31: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

30 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Forecasting based on Chaotic Systems

Mohamed Yehia Zahab Assistant Professor

King Abdulaziz University

Faculty of Computing and Information Technology

Member of Scientific Research Group in Egypt (SRGE)

E-mail:[email protected], [email protected]

Abstract: Accurate forecasting for future events constitutes a fascinating challenge for theoretical and for

applied researches. Foreign Exchange market (FOREX) is selected in this research to represent an example

of financial systems with a complex behavior. Forecasting a financial time series can be a very hard task due

to the inherent uncertainty nature of these systems. It seems very difficult to tell whether a series is

stochastic or deterministic chaotic or some combination of these states. More generally, the extent to which a

non-linear deterministic process retains its properties when corrupted by noise is also unclear. The noise can

affect a system in different ways even though the equations of the system remain deterministic. Since a

single reliable statistical test for chaoticity is not available, combining multiple tests is a crucial aspect,

especially when one is dealing with limited and noisy data sets like in economic and financial time series. In

this research, we propose an improved model for forecasting exchange rates based on chaos theory that

involves phase space reconstruction from the observed time series and the use of support vector regression

(SVR) for forecasting. Given the exchange rates of a currency pair as scalar observations, observed time

series is first analyzed to verify the existence of underlying nonlinear dynamics governing its evolution over

time.

Mohamed Y.Zahab, was born in Cairo, Egypt in 1965. He received his B.Sc. degree in

1987, M.Sc. degree in 2000, from Institute of Statistical Studies and Research (ISSR),

Computer Science Department, Cairo University, Egypt and Ph.D degree in 2007, from

Faculty of Computers and Information,Computer Science Department, Cairo University,

Egypt. He is a researcher Central Laboratory forAgricultural Expert Systems, Egypt.

Currently, he hasdelegatedin King Abdulaziz University, Faculty of Computing and

Information Technology, Department of Computing Science as Assistant Professor.

He has authored/co-authored over 11 research publications in peer-reviewed journals

and international conference proceedings.

Research Interest 1) Computer Vision, 2) Pattern Recognition,3) Image Processing, 4) Machine

Learning, 5) Text mining, 6) Natural Language Processing, 7) Information

Retrieval 8) Chaotic Systems.

Selected Publication:

Fawaz H.H. Mahyoub, Muazzam A. Siddiqui, Mohamed Y. Dahab, Building an Arabic

Sentiment Lexicon Using Semi-supervised Learning, Journal of King Saud University -

Computer and Information Sciences, Available online 28 September 2014, ISSN 1319-

1578, http://dx.doi.org/10.1016/j.jksuci.2014.06.003.

Page 32: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

31 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Thermal Imaging: Challenges for Breast Cancer

Detections

Mona Abdelbaset Sadek Ali

PhD Computer Science (Sensor and Social Network)

Member of Scientific Research Group in Egypt (SRGE) Faculty of Computers and Information, Minia University Email: [email protected], [email protected]

Breast cancer is the most shared cancer among women in the world. It is estimated that one in eight

women, all over the wide, would develop breast cancer during her life. The breast

cancer is ranked as one of the first-leading causes of cancer deaths among women.

The early detection of breast cancer might save women's life. Although

Mammogram is difficult in imaging dense breast tissues, its performance is poor in

younger women, it is harmful, and it could not detect breast tumor that less than 2

mm. it is still one of the most imaging technology used for diagnosing breast

cancer. To overcome these limitations, it has been found that there is extrusive

relation between the temperature and the presence of the breast cancer. Employing this fact, infrared

imaging could be a good source of breast images to study and detect the cancer at the early stages which

is crucial for cancer patients for increasing the rete of the breast cancer survival. As a result an overview

about thermal imaging technology has been studied focusing on its ability and challenges in detecting

breast cancer. Mona is a lecturer at Faculty of Computers and Information, Minia University, Egypt. She gets her B.Sc.

from Faculty of Computers and Information, Cairo University, Information Technology Department 2002.

At 2005 she gets her M.Sc from the same faculty. She gets her Ph.D from School of computers and

Informatics, Cardiff University, UK from 2008-2013. She also works as assistant lecturer at the same school

during studying time.

Publications:

Tarek Gaber; Zahran, Gehad; Anter Ahmed; Mona Soliman; Ali Mona Abdelbaset

Sadek, Semary, Noura ; Aboul Alla, Hassanien ; Vaclav, Snasel: Thermogram Breast

Cancer Detection Approach based on Neutrosophic Sets and Fuzzy C-Means Algorithm, In

the proceedings of the 37th Annual International Conference of the IEEE Engineering in

Medicine and Biology Society (EMBC2015), IEEE, Milano, Italy, 25-29 August, 2015.

Page 33: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

32 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Digital Watermarking and and Intelligent

Optimization

Mona M. Soliman Assistant Professor

Member of Scientific Research Group in Egypt (SRGE) http://www.egyptscience.net/ Faculty of Computers and Information, Cairo University, Egypt

Email: [email protected], [email protected]

Abstract: The basic principle of watermarking approaches is to add copyright information into a

multimedia object, with the aim of broadcast monitoring, access control, copyright

protection etc. The object may be 2D image, 3D image, video or audio. Two

important and conflicting requirements in watermarking system are perceptual

transparency and robustness. Our recent research aims to develop a watermarking

system using Bio-Inspired optimization techniques. Although there are many

proposed approaches of watermark insertion and extraction either in spatial or

frequency domain, but most of these methods had a limitation of enhancing either

robustness or invisibility. The main objective of or research is devolving a

watermarking system that considers wa termarking problem as an optimization

problem. This work propose a watermarking system by utilizing the use of Bio-Inspired techniques such as

neural network, Genetic algorithm, and swarm intelligent in optimizing watermarking approaches for both

2D images and 3D images. Digital watermarking of 3D objects remains a challenging problem. The state of

research of watermarking 3D models is still in its infancy as compared to published work in image and video

watermarking. There still exist few watermarking methods for 3D meshes, in contrast with the relative

maturity of the theory and practices of image, audio and video watermarking. This situation is mainly caused

by the difficulties encountered while handling the arbitrary topology and irregular sampling of 3D meshes,

and the complexity of possible attacks on watermarked meshes. Our new research direction focus on using

intelligent systems in improving agriculture environment.

Research Interest: Image processing, Pattern recognition, Machine learning, Information

security, Image steganography, optimization methods

Selected publications:

Mona M. Soliman, Aboul Ella Hassanien and Hoda M. Onsi, An Adaptive Watermarking Approach

based on Swarm Optimization, Neural Computing and Applications Journal (IF=1.7), doi:

10.1007/s00521-015-1868-1, 2015.

Page 34: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

33 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Towards an Optimized Registration Framework for

Remote Sensing Applications

Mohamed Tahoun Assistant Professor at Faculty of Computers and Informatics,

Suez Canal University, 41522 Ismailia, Egypt

Emails: [email protected], [email protected]

Abstract. The rapid increasing of remote sensing data in many applications ignites a spark of

interest in the process of satellite image matching and registration. These data are collected

through remote sensors then processed and interpreted by means of image processing algorithms.

The detection and matching of features from satellite images taken from same or different

sensors, viewpoints, or at different times are mandatory tasks in manipulating remote sensing data

for applications like change detection and land use. The current work and recent trends in this

interesting area of research, focuses on -but not limited to-: Automatic or adaptive feature

extraction, feature descriptors and matching, geometrical transformation, optical and radar image

registration, multi-sensor image fusion, and quality assessment of image registration.

Mohamed Tahoun is an Assistant Professor at computer science department, FCI, suez

canal university. He finished his PhD thesis as a channel program between Humboldt

university in Berlin and Suez Canal university in Egypt since3. His Ph.D was about

"Matching and Registration of Satellite Images from Different Sensors”. He got his

M.Sc. degree in computer science from computer science department, faculty of

computers and information sciences, Ain Shams university, Egypt. He is working as

an assistant lecturer at computer science department, faculty of computers and

informatics, Ismailia, Egypt. He is a SRGE member since 2010 and has participated

in few international conferences and workshops in additions to some cultural and

scientific events in Egypt, Germany and Poland.

Research Interests 1) Satellite Image Registration,

2) Remote Sensing and Applications,

3) Content-Based Image Retrieval.

4) Computer Vision and Image Processing Applications.

Publications 2015

Mohamed Tahoun, Aboul Ella Hassanien, Ralf Reulke, Registration of Optical and Radar Satellite

Images Using Local Features and Non-Rigid Geometric Transformations", in Lecture Notes in

Geoinformation and Cartography Series, Springer, pp. 249-261, 2015.

Page 35: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

34 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Image Processing and Applications

Name: Abdelhameed Ibrahim Ph.D. in Computer Engineering (Computer Vision and Pattern recognition) Faculty of Engineering, Mansoura University, Mansoura, Egypt Member of Scientific Research Group in Egypt (SRGE) (www.egyptscience.net) Email: [email protected], [email protected]

Abstract. During the last few years, the importance of spectral imagery has sharply increased following the

development of new optical devices and the introduction of new applications. The spectral imaging system is a

system which captures and describes color information by a greater number of sensors than an RGB device

resulting in a color representation that uses more than three parameters. The problem with conventional color

imaging systems is that they have some limitations, namely, dependence on the illuminant and characteristics

of the imaging system. On the other hand, spectral imaging systems can provide spectral reflectance

information and the systems are illuminant independent. Therefore, spectral imaging must be the technique of

the immediate future. Spectral imaging is used, for example, in remote sensing, computer vision, and industrial

applications. The main advantage of spectral images, compared with color images, is the large amount of

information involved, which dramatically improves the ability to detect individual materials or separate areas

with visually different spectral bands. The disadvantage of spectral images is that, since we have to process

additional data, the required computation time and memory increase significantly. However, since the speed of

the hardware will increase and the costs for memory will decrease in the future, it can be expected that spectral

images will become more important in many fields of image analysis and computer vision. Image Processing

is one of the fields that have shown a stable growth in the last decades. It has different impact in computer

engineering and computer science and other research areas, e.g. biology, remote sensing, and medicine. Image

processing is very important in medical applications, robotics, and other industrial applications.

Abdelhameed Ibrahim was born in Mansoura city, Egypt, in 1979. He attended the

Faculty of Engineering, Mansoura University, in Mansoura, where he received Bachelor

and Master Degrees in Engineering from the electronics (Computer Engineering and

Systems) department in 2001 and 2005, respectively. He was with the Faculty of

Engineering, Mansoura University, from 2001 through 2007. In April 2007, he joined

the Graduate School of Advanced Integration Science, Faculty of Engineering, Chiba

University, Japan, as a doctor student. He received Ph.D. Degree in Engineering in 2011.

His research interests are in the fields of computer vision and pattern recognition, with

special interest in material classification based on reflectance information.

Research

Interest

My current work involves research and development of biometric authentication

methods using ear and finger knuckle images based on machine learning methods. I am

also involved in research and development of novel algorithms and techniques for fragile

watermarking for image authentication with tamper detection and localization.

Encryption is combined with the developed schemes in order to improve the tamper

detection and localization accuracy through enhancing the scheme fragility and to

provide an additional level of security. I have also worked on bladder cancer diagnosis

using artificial neural network, 3D object reconstruction and recognition, Iris based

verification techniques through fusion at matching score level, computation offloading in

mobile cloud computing, and wireless multimedia sensor networks. List of publications:

1. Tarek Gaber, Alaa Tharwat, Abdelhameed Ibrahim, Vaclav Snasel, Aboul Ella Hassanien Human Thermal Face

Recognition Based on Random Linear Oracle (RLO) Ensembles, 2015 IEEE International Conference on

Intelligent Networking and Collaborative Systems, 2-4 September 2015, Taipei, Taiwan pp. 91-98, 2015.

2. Alaa Tharwat, Abdelhameed Ibrahim, Aboul Ella Hassanien, Gerald Schaefer: Ear Recognition Using Block-

Based Principal Component Analysis and Decision Fusion. 6th International Conference Pattern Recognition and

Machine Intelligence - PReMI 2015, Warsaw, Poland, June 30 - July 3, 2015, pp,246-254

Page 36: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

35 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Ph.D.

Students

Page 37: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

36 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Computational Intelligence Modeling of Pharmaceutical

Processes

Hossam M. Zawbaa (Ph.D. Student) Member of Scientific Research Group in Egypt (SRGE)

Lecturer, Faculty of Computers and Information, Beni-Suef University, Beni-Suef, 61222, Egypt

Assistant Researcher, Faculty of Mathematics and Computer Science, Babes-Bolyai University,

Romania. E-mail: [email protected]

Abstract: Today's technology offers many ways and opportunities to advance in multi-disciplinary

fields. In the pharmaceutical industry, the exploitation of knowledge on the casual relationship

between product quality and attributes of formulations is very useful in developing new

formulations and products, and optimizing manufacturing processes. With the big data captured in

the pharmaceutical product development practice, computational intelligence (CI) models and bio-

inspired optimization algorithms, could potentially be used to identify critical quality attributes

(CQA) and critical process parameters (CPP) for the formulations and manufacturing processes.

That needs a deep investigation of the powder mixing, roller compaction, milling, and die

compaction of pharmaceutical formulations.

Hossam M. Zawbaa, was born in Cairo, Egypt in 1987. He received

his B.Sc. degree in 2008 and M.Sc. degree in 2012, from Faculty of

Computers and Information, Information Technology Department,

Cairo University, Egypt. He is a Lecturer at Information Technology

Department, Faculty of Computers and Information, Beni-Suef

University, Egypt. Currently, he has become the early stage researcher

(ESR) No. 10 in Marie Curie, IPROCOM project at Babes-Bolyai

University, Romania. He has authored/co-authored over 29 research

publications in peer-reviewed reputed journals and international

conference proceedings. He has served as the technical program

committee member of various international conferences and reviewer

for various international journals.

Research Interest 1)Computer Vision, 2) Pattern Recognition, 3) Image Processing,

4) Machine Learning, 5) Intelligent optimization, 6) Data Mining.

Selected Publication:

E. Emary, Hossam M. Zawbaa, Aboul Ella Hassanien, "Binary Grey Wolf Optimization

Approaches for Feature Selection", International Journal of Neurocomputing, Elsevier, Vol.

172, pp. 371-381 Journal indexed in 'Journal Citation Reports' (Thomson Reuters), Impact

Factor (2014): 2.083, June 2015.

Page 38: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

37 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Mining and Visualizing the DNA

Methylation Data

Islam Amin

M.Sc. Information Systems (Bioinformatics)

Institute of Statistical Studies and Researches,

Cairo University, Egypt.

H +2 (0114) 109 7403

B [email protected]

www.egyptscience.net

Abstract: DNA methylation is an epigenetic mechanism that cells use to control gene expression.

DNA methylation has become one of the hottest topics in cancer research, especially for

abnormally hypermethylated tumor suppressor genes or hypomethylaed oncogenes research. The

analysis of DNA methylation data determines the differential hypermethlated or hypomethylated

genes that are candidate to be cancer biomarkers. Visualization the DNA methylation status may

lead to discover new relationships between hypomethylated and hypermethylated genes.

Islam I. Amin is a PhD candidate student in Institute of Statistical Studies and

Researches (ISSR), Cairo Univeristy. He started his master project in Oct. 2011 and

defended it on July 2014, His master studies has focussed on mining and visualizing

DNA methylation data for determining the status of DNA methylation markers.

Islam received his BSc degree from Agriculture Sciences from Zagazig University in

2003. In May 2009, Islam was awarded the Diploma of High Studies in Information

Systems from ISSR, Cairo University. In addition to being a member of Scientific

Research Group in Egypt (SRGE), he is also a member of the Egyptian Center of

Bioinformatics and Genomics (ECBAG) He has extensive experience of bioinformatics, by combining the

knowledge of biology and molecular cell with the latter experiences of computer science theories to analysis,

model, visualize, solve the complex biological problems in plant, animal and human.

Area of Interest

Bioinformatics Microarray, Gene expression, DNA Methylation, Haplotype Analysis, Sequence Alignment,

Protein Structure, SNPs, NGS , Data Mining Supervised learning, Unsupervised learning, Modeling and

Visualizing.Statistics and Biostatistics - Probabilities, Distributions, Statistical hypothesis testing(parametric

and nonparametric tests), ANOVA, ANCOVA, Experimental Design, Regression, Correlation,

Significance And Multiple testing (FWER and FDR)..etc.

Selected Publication 2015

Page 39: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

38 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Knowledge Discovery in Bioinformatics

Hanaa Ismail Elshazly, (Ph.D. Student)

Scientific Research Group in Egypt (Member)

Computer Science Dept., Faculty of Computers and Information, Cairo University

Email: [email protected]

Abstract Advancement of hardware and software technology have their impact in improving investigations

in biomedical research. The increase of storage capacity and data availability encourage the collection of

data. Data can include redundant features that seem to be useful. Thus, large collected size of medical data

are expected due to the technology advancement occurred. Data dimensionality may hinder the promising

benefits of any automatic diagnostic approach. Feature selection has an improving impact over the

knowledge discovery process of medical data sets. An efficient feature selection algorithm has an intrinsic

need for a successful classification process. Dimensionality reduction realizes some advantages related to the

decrease of complexity, the visualizing information and the improvement of the comprehensibility of the

induced concepts. Rules dimensionality also have positive long term benefits related to the physician as to

accurately classify patients as well as to render the reduced rules in understandable manner. Recent studies

pointed out toward meta-heuristics techniques, as Genetic Algorithm, to perform rules reduction due to their

fast processing and promising results.

Hanaa is a Ph.D. student at Cairo University, CS Department. Hanaa received his

M.Sc degree in 2008 from Cairo University, Institute of Statistical Studies and

Research, Cairo, Egypt. Her Master topic was "Toward a Knowledge Modeling

Approach in Risk Analysis Domain". She is currently an IT manager in an Insurance

Co. Hanaa is a research member of Scientific Research Group in Egypt (SRGE). She

has worked in the areas of Modeling in Biomedicine. Her Ph.D project is in the area

of Data Mining and Visualization. Her research interests include: Soft computing,

Data mining, Machine learning and Hybrid Intelligent Systems.

Publications in 2015

Page 40: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

39 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Remote Sensing Image Fusion

Reham Abd El Wahab Gharbia Ph.D. Student

Member of Scientific Research Group in Egypt (SRGE)

Lecturer Assistant in the Nuclear Materials Authority (NMA).

Email:[email protected]

Abstract: Remote sensing has many applications including military surveillance, agriculture, hydrology,

geology and meteorology among others. Image fusion is a useful technique for producing a high-resolution

multispectral image from the merging of a high resolution panchromatic image with a low resolution

multispectral image. Despite the fact that the number and kind of satellite imagery are daily increasing,

using fusion techniques, in a proper way, to eliminate the redundancy in data and increasing the quality of

them is an important challenge in Remote Sensing applications.

Reham Abd El Wahab Gharbia, is Lecturer Assistant in the Nuclear

Materials Authority (NMA). She is a PhD student at Faculty of Science,

Domyatta University. She received her B.Sc. from Faculty of Science,

Menoufiya University. She received the M.Sc. Degree in computer

science from the Faculty of Science, Menoufiya University in 2008. Her

Master topic was Mathematical Studies and Modeling of Remote

Sensing Data for Geological Investigation of Owinat Area, South

Western Desert. Her PhD project is about: Remote Sensing Data Fusion

in South Western Sinai under the supervision of: Prof. Aboul Ella

Hassanien. Her research interests include: Computer Vision, Image

Processing, and Remote Sensing.

Research Interest 1) Computer Vision 2) Image Processing 3) Remote Sensing.

4) Big Data. 5) Data Mining.

List of Publication:

- Reham Gharbia, Ali Hassan El Baz, Aboul Ella Hassanien and Vaclav Snasel. Region-based Image

Fusion Approach of Panchromatic and Multi-spectral Images, Proceedings of the Second Euro-

China Conference on Intelligent Data Analysis and Applications, ECC 2015, pp. 535-545, June 29 -

July 1, 2015, Ostrava, Czech Republic, 2015.

- Reham Gharbia, Sara A. Ahmed and Aboul Ella Hassanien. Remote Sensing Image Registration

Based On Particle Swarm Optimization and Mutual Information. Second International Conference

on INformation systems Design and Intelligent Applications 2015. January 8-9, Springer India,

2015. Pp. 399-408.

Page 41: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

40 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Retinal blood vessel segmentation based

on ant colony system

Ahmed Hamza Asad(Ph.D. student)

Scientific Research Group in Egypt (Member)

Email: [email protected]

Abstract: The diabetic retinopathy disease usually leads to retina revascularization by spreading diabetes on

the retina vessels and thus they lose blood supply that causes blindness in short time, so early diagnosis of

diabetes prevents blindness in more than 50% of cases. The early diagnosis depends mainly on the

segmentation of blood vessels in the retinal images. The retinal blood vessels segmentation is a classification

problem where each pixel in the field of view of retinal image is classified as vessel-like (foreground) or

non-vessel (background). The manual segmentation of retinal blood vessels is a long and tedious task which

also requires training and skill. So in the last two decades, the process of retinal blood vessels segmentation

attracts a lot of research in the medical image processing area for automating this process since it is the

critical component of any computer-aided diagnosis system of retinopathies such as hypertension, glaucoma,

obesity and etc. Among many approaches were used for segmenting the retinal blood vessels, too few were

based on a bio-inspired algorithm with other algorithm but no approach was based a bio-inspired algorithm

standalone. Biologically inspired computing is a field of study that loosely knits together subfields related to

the topics of connectionism, social behavior and emergence. It is often closely related to the field of artificial

intelligence, as many of its pursuits can be linked to machine learning. Biologically-inspired algorithms such

as genetic algorithms, particle swarm optimization, ant colony algorithms, bee colony, invasive weed

optimization, fish swarm and bat swarm have achieved some remarkable successes.

Ahmed Hamza Asad, received the B.Sc. degree in information technology from

information technology department, faculty of computers and information, Cairo

university, Egypt in 2000, and the M.Sc. degree in the same field from the same

faculty in 2008. His master topic was real-time face tracking. He is currently

working toward PhD degree at department of computer sciences and information,

institute of statistical studies and researches, Cairo University, Egypt. During

2000-2001, he worked as software developer at Sakhr Company and during 2003-

2004; he worked as software developer at Pixel Company. During 2001-2007, he

worked as teaching assistant at department of computer sciences and information,

institute of statistical studies and researches, Cairo University, Egypt. From 2008 up to now, he is working

as lecturer assistant at the same department and institute. His research interests include medical image

analysis and computer vision.

Page 42: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

41 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Automatic Computer Aided Diagnosis System for

Abnormalities in Abdominal CT Liver Images

Ahmed MetwalliAnter, (Ph.D. student)

Scientific Research Group in Egypt (Member)

Faculty of Computer and Information, Mansoura University, Egypt.

Email: [email protected]

Abstract: Liver cancer is a serious disease and is the third commonest cancer followed by stomach and lung

cancer. The most effective way to reduce deaths due to liver cancer is to detect and diagnosis in the early

stages. One of the most common and robust imaging techniques for the diagnosis liver cancer is Computed

Tomography (CT). Computer Aided Diagnosis (CAD) plays a key role in the early detection and diagnosis

of liver cancer. CAD has been proposed to improve diagnostic accuracy and to support clinical decision

making to provide the type of tumours and assist doctors to take decision, reduce cancer missed due to

fatigue, and reduce number of required biopsies. The objective of this research is the development of

automated CAD system to detect liver tumours and diagnosis based on Neutrosophic sets and meta-

heuristics bio-inspired and evolutionary algorithms.

Ahmed M. Anter, Lecturer Assistant at Faculty of Computer Science and Informatics,

Benisuef University, Egypt. Anter is interested in Biomedical Engineering, Image Processing,

Neural Network, programming and application development, Business Process Management

Systems (BPMS), Patient Information and Medical application systems, and Open Source

Technologies. Anter is a member in the scientific research group in Egypt (SRGE). He is worked

in Faculty of informatics, Jazan university as lecturer assistant, and he worked in CITC Mansoura

university as a Senior software development. Anter holds his master degree of Computer Science

from faculty of informatics, Mansoura University, 2010. His master was in “Content-Based Mammogram Image

Retrieval”. Now he is a Ph.D. student at the same faculty and working in “Automatic Computer Aided Diagnosis

System for tumours in CT Liver Images”. His research interests are in Biomedical engineering, Artificial intelligence,

Image processing, Computer vision, Data mining, Pattern recognition, Machine learning, and meta-heuristics and

optimization fields. He has published six papers in international journals and conferences and submitted three book

chapters in 2015.

Selected Publication:

- Ahmed M. Anter, Abul Ella Hassenian, Mohamed Abu ElSoud, Ahmed Taher Azar, “Automatic Liver

Parenchyma Segmentation System from Abdominal CT Scans using Hybrid Techniques”, Int.J. of Biomedical

Engineer Journal and Technology (IJBET), InderScience, Vol. 17, No. 2, pp.148-167, (2015).

- Tarek Gaber, Gehad Ismail, Ahmed M. Anter, Mona Soliman, Mona Ali, Noura Semary, Aboul Ella

Hassanien, Vaclav Snasel, “Thermogram Breast Cancer Prediction Approach based on Neutrosophic Sets and

Fuzzy C-Means Algorithm”, IEEE, 37th Annual International Conference of the IEEE Engineering in

Medicine and Biology Society (EMBS), Milano, Italy, pp.4254-4257, (2015).

Page 43: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

42 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Climate change and its relations in

Egyptian agriculture

Mohamed Abd El Salam,)Ph.D. Student)

Institute of Statistical Studies and Research (ISSR), Cairo University(

Email: [email protected]

Abstract: Over the past fifty years, the world has demonstrated increased concern over the climate-change

phenomenon. In Scientific Research Group in Egypt (SRGE), we study the particulars of this phenomenon

with the aim of identifying how to cope with it and how to reduce its associated risks and its relations and

effects on agriculture in Egypt.

Mohamed Abd El Salam, is a Ph.D. student at Institute of Statistical Studies and

Research (ISSR), Cairo University. He holds a B.Sc. in Electrical engineering

at Faculty of Engineering, Alexandria University. He received his M.Sc. degree in 2012

in voice over wireless networks (WNs), his research interested in WNs, climate change

and thermal image processing.

- Mohamed Abdel Salam, Mahmood A.Mahmood, Yasser Mahmoud Awad, Maryam

Hazman, Nashwa El Bendary, Aboul Ella Hassanien, Mohamed F. Tolba and Samir

Mahmoud Saleh Climate recommender system for wheat cultivation in North Egyptian

Sinai Peninsula" the 5th International Conference on Innovations in Bio-Inspired

Computing and Applications, 22-24 June 2014, Ostrava, Czech Republic.

Page 44: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

43 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Social Graph data mining

Ragia A. Ibrahim Institute of Statistical Studies and Research (ISSR), Cairo University (

Ragia A. Ibrahim, is a Ph.D. student at Institute of Statistical Studies and Research

(ISSR), Cairo University. She holds a bachelor degree in accounting from Ain Shams

University,Egypt. In addition to two Master degrees in Computer Science. The first

from Cairo University and the second from University of Louisville, USA, in

association with Regional Information Technology Institute (RITI). Her research

focuses on mining and modeling large social and information networks, their

evolution, and diffusion of information.

Page 45: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

44 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Plant Diseases Identification/Image Processing

Usama mokhtar

Ph.D Student.

SRGE member (www.egyptscience.net) Emails: [email protected].

Abstract: Automatic detection of plant diseases is an essential research topic as it may

prove benefits in monitoring large fields of crops and thus automatically detect the

symptoms of diseases as soon as they appear on plant leaves. Therefore looking for fast,

automatic, less expensive and accurate method to detect disease is very important for

research issues. Many techniques can be used in that field like image processing. It can be used in

agricultural applications to detect and quantify affected area of leaf, stem and fruit. Also,

can be used to find shape and colour of affected area and so on.

Usama Mokhtar Hassa, was born in El Fayoum, Egypt in 1957. He

received his B.Sc. degree in 1997 from Faculty of Science and

Education, math and computer science Department, Cairo University,

Egypt. He Studied Computer Science at the Institute of Statistical

Studies and Research and received Specialization Diploma in

Computer Science in 2001.

He received M.Sc. degree in 2010, from Institute of Statistical

Studies and Research, Cairo University, Egypt. He started PH.Sc in

March 2012, at the Institute of Statistical Studies and Research,

Computer science Department, Cairo University, Egypt

Research Interest

1. Image Processing,

2. Data Mining.

3. Swarm optimization

Selected Publication:

1. Mokhtar, Usama, Nashwa El Bendary, Aboul Ella Hassenian, E. Emary, Mahmoud A.

Mahmoud, Hesham Hefny, and Mohamed F. Tolba. "SVM-Based Detection of Tomato Leaves Diseases." In Intelligent Systems' 2014, pp. 641-652. Springer International Publishing, 2015.

Publishing.

2. Mokhtar, U., Ali, M. A., Hassanien, A. E., & Hefny, H. (2015). Identifying Two of Tomatoes Leaf Viruses Using Support Vector Machine. In Information Systems Design and Intelligent Applications (pp. 771-782). Springer India.

3. Mokhtar, Usama, Mona AS Ali, Aboul Ella Hassenian, and Hesham Hefny. "Tomato leaves diseases detection approach based on Support Vector Machines." In 2015 11th International Computer Engineering Conference (ICENCO), pp. 246-250. IEEE, 2015.

Page 46: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

45 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Complex Segmentation in Medical Imaging

Abdalla Mostafa Abdalla

Ph.D. Student - Computer Sciences

Member of Scientific Research Group in Egypt (SRGE)

Institute of statistical studies and researches, Cairo University, Egypt

E-mail:[email protected]@gmail.com

The objective of medical image processing is to pave for a Computer-Aided diagnosis system (CAD). The

intended organ for me is liver. CAD system is seeking a reliable CT liver image segmentation, to separate

the liver from other organs, and segment the liver into a set of regions of interest (ROIs). Segmentation is the

main concern and implemented using traditional techniques and swarm intelligence. The segmentation is

done using iterative K-means, morphological operations and wolf local thresholding, combined with two

main segmentation methods, region growing and level set. Swarm intelligence techniques are new trend in

my work, including Artificial Bee colony and Grey wolf optimization. It is used as a clustering technique to

segment the liver from the abdomen in CT images. The optimization is also tested on the Arabic manuscripts

for better binarization.

Abdalla Mostafa Abdalla is a PhD student at the department of computer

science in Institute of Statistical Studies and Research (ISSR), Cairo

University. He graduated from the faculty of commerce 1985. In 2007 he got a

diploma in computer science from ISSR, Cairo university. Then in 2012, he

received his Master degree in computer science, Cairo University with thesis

titled “A Computer-Aided Diagnosis System in Medical Imaging.” Abdalla has

published 3 conference papers and one journal paper through his master.

Research interest 1- Medical imaging segmentation. 2- Natural language processing.

3- Swarm optimization techniques.

Publications:

1. Mostafa, A., M. A. Fattah, A. E. Hassanien, H. Hefny, and G. S. Shao Ying Zhu, "CT Liver

Segmentation Using Artificial Bee Colony Optimisation", 19th International Conference on

Knowledge Based and Intelligent Information and Engineering Systems, Procedia Computer

Science , Singapore, September, 2015.

2. Mostafa, A., M. A. Fattah, A. Ali, and A. E. Hassanin, "Enhanced Region Growing Segmentation

For CT Liver Images", the 1st International Conference on Advanced Intelligent Systems and

Informatics (AISI’15) Springer, . Beni Suef University, Beni Suef, Egypt , Nov. 28-30 , 2015.

Page 47: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

46 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Computational Intelligence Approaches for

Bioinformatics Problems

Mahir Mohammed Sharif Adam

Assistant Lecturer (Ph.D Student)

Scientific Research group in Egypt (www.egyptscience.net)

Computer Science and Information Dept., ISSR, Cairo University

Email: [email protected], [email protected]

Abstract:Computational intelligence is one branches of artificial intelligence, where well-crafted

algorithms are being developed that solve complex, computationally expensive problems that are

believed to require intelligence, has recently become the third method of scientific enquiry,

besides, theory and experimentation. Computational Intelligence is one of the most promising

tools today to attack the remaining hard problems in bioinformatics and human genetics (e.g.,

diseases discovery and susceptibility, protein enzyme classification and prediction, genes

interaction and dependability …). One of these approaches, develop and implement approach to

classify and predict the protein enzyme using one of machine learning methods(e.g., SVM, NN,

Decision Tree…) and extracted specific features from amino acid sequence to classify the protein

enzymes according to EC classes.

Keywords: Computational Intelligence, Bioinformatics, Machine Learning, Feature Extraction.

Mahir M. Sharif is an Assistant Lecturer in Computer Science Dept., Faculty of

Science and Technology, Omdurman Islamic University, Sudan. He received his

B.Sc. honour degree in May 2004 from Computer Science Dept., Faculty of Science

and Technology, Omdurman Islamic University, Sudan, and M.Sc. degree in Jan

2009 from Faculty of Computer Science and Information Technology, Computer

Science Dept., Alneelain University, Sudan. He received his pre-PhD in 2013 from

ISSR, Cairo University, Egypt. He is a member in SRGE (Scientific Research

Group in Egypt).

Research Interest 1)Bioinformatics, 2) Computational Intelligence, 3) Machine Learning.

Selected 2014 Publications

[1] Mahir M. Sharif, Alaa Tharwat, Islam I. Amin, Aboul Ella Hassanien and Hesham A. Hefeny. Enzyme

function classification based on sequence alignment. In Information Systems Design and Intelligent

Applications, Springer India. pp. 409-418. 2015.

[2] Mahir M. Sharif, Tharwat, A., Hassanien, A. E., & Hefeny, H. A. Automated Enzyme Function

Classification Based on Pairwise Sequence Alignment Technique. In: Intelligent Data Analysis and

Applications. Springer International Publishing, pp. 499-510. 2015.

Page 48: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

47 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Historical Manuscripts Image Processing

Mohamed Abdel Fattah AbdelAzim

Ph.D. student (Computer Science)

Member of Scientific Research Group in Egypt (SRGE)

Faculty of Information& Computers, Mansoura, Egypt

E-mail: [email protected]*[email protected][email protected]

Abstract:In our work, an improved thresholding approach based on neutrosophic sets (NSs) and adaptive

thresholding is proposed. This is applied to degraded historical documents imaging and its performance

evaluated. The input RGB image is transformed into the NS domain, which is described using three subsets,

namely the percentage of truth in a subset, the percentage of indeterminacy in a subset, and the percentage of

falsity in a subset. The entropy in NS is employed to evaluate the indeterminacy with a _-mean operation

used to minimize indeterminacy. Finally, the historical document image is binarized using an adaptive

thresholding technique. Experimental results demonstrate that the proposed approach is able to select

appropriate image thresholds automatically and effectively, while it is shown to be less sensitive to noise and

to perform better compared with other binarization algorithms.

Mohamed Abdel Fattah is an assistant lecturer at the Department of computer

science. Cairo Higher institute for Eng., CS, MIS, new Cairo, Egypt. He received his

M.Sc. (image processing), Faculty of information computers, Mansoura Univ. In

2013. His Ph.D. Student in computer science (image processing), He also served as a

researcher in SRGE group. He has published over 8 papers in international

conferences.

Research Interest Research interests: Image Processing, Computer Vision, Big Data, Cloud Computing,

Rough sets.

Selected References:

- Aboul Ella Hassanien, Mohamed Abdelfatah, Khaled Amin, Shriihan Mohamed, A novel

hybrid binarization techniques for image of historical Arabic mansuscripts. Studies in

informatics and control, vol. 24(3), pp.271-282, 2015.

Page 49: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

48 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Intelligent 3D digital watermarking and

applications

Mohammed Ahmed ElGayyar Assistant Lecturer, Department of Mathematics, Science Faculty, Cairo University

Member in the Scientific Research Group in Egypt (SRGE www.egyptscience.net)

Email: [email protected]

Abstract. Digital watermarking is used for copyright protection, authentication, or information hiding

(Steganography). We can divide research in this field by two main factors: (1) The type of the media you target

(raster images, video, vector maps, ...etc) and (2) The type of watermark to be embedded (black and white

image, 3D image, bit stream, ...etc). Watermarking schemes include many processes, like watermark pickup

(watermark preparation process, 3D object watermark for example), pre processing the target (transformations

take place here), selection (the process of choosing where to embed the watermark in the target file, vertices

selection process in a 3D target for example), embedding (spatial or frequency/transform domain), and

extraction (blind, non-blind, or semi-blind).

Mohammed ElGayyar was born in ElMansoura, 1981. He received B.Sc. degree in 2003 and

received his M.Sc. degree in 2013 in Computer Science from Science Faculty, Cairo University,

Egypt. He is a member in the Scientific Research Group in Egypt (SRGE). He is a Ph.D. student

and Assistant Lecturer in Department of Mathematics, Science Faculty, Cairo University

1) Cryptology, 2)Steganography, 3) Digital Watermarking,4) Machine Learning, 5)

Clustering and

2) Classification

Page 50: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

49 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Machine learning techniques in image

authentication

AlaaTharwat (Ph.D. Student)

Scientific Research Group in Egypt (Member)

Faculty of Engineering- Computer Dept., Suez Canal University

Email: [email protected] ; engalaatharwat2hotmail.com

Abstract: Machine learning technique has many real applications and it is integrated into many

research areas. Machine learning is one of the fastest growing areas of computer science research.

Search engines, face recognition, DNA sequence analysis, speech and handwriting recognition,

credit card fraud detection, premature baby monitoring and autonomous locomotion are just some

of the applications in which machine learning is routinely used. My research focussing on applying

machine-learning techniques on many applications such as, biometrics and medical imaging. Also

his research focusing on image processing and use machine learning with it.

AlaaT.Abd- El Monaaim, received the B.Sc., M.Sc. degrees in faculty of

engineering- computer Dept. from the Mansoura University in 2002, 2009,

respectively. Currently, he is a teaching assistant at the Faculty of Engineering –

Computer Dept., Suez Canal University, Ismailia, Egypt. He worked as director

of digital library unit at Suez Canal University; currently he is a member in

SRGE (Scientific Research Group in Egypt). Hisresearch has been focused on

machine learning and their applications such as biometrics and medical imaging.

He has published over 6 papers in international journals and conferences.

Selected Publication 2015:

- Tarek Gaber, Alaa Tharwat and Aboul Ella Hassanien, One-Dimensional vs. Two-

Dimensional based Features: Plant IdentificationApproach, Journal of Applied Logic -

Elsevier, (accepted), 2016

- Alaa Tharwat Hani Mahdi, Adel El Hennawy, Aboul Ella Hassanien, Face Sketch

Recognition Using Local InvariantFeatures, 7th IEEE International Conference of Soft

Computing and Pattern Recognition,Kyushu University, Fukuoka, Japan, November 13 -

15, 2015

Page 51: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

50 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Community detection in social networks

Ahmed Ibrahem Hafez.

Scientific Research Group in Egypt (Member) (Ph.d. student)

Faculty of Computer and Information, Minia University

Email: [email protected]

Abstract: Social network analysis views social relationships in terms of network theory consisting

of nodes and ties (also called edges, links, or connections). Nodes are the individual actors within

the networks, and ties are the relationships between the actors. The resulting graph-based structures

are often very complex. Social network analysis concerns with modelling network dynamics,

centrality analysis, and influence modelling and community detection. Finding a community in a

social network is to identify a set of nodes such that they interact with each other more frequently

than with those nodes outside the group. Detecting cohesive groups in a social network remains a

core problem in social network analysis; also community detection can facilitate other social

computing tasks and is applied in many real world applications, for instance, classification and

recommendation in social networks, community detection also can be used to compress a huge

network, resulting in a smaller network. In recent years, community detection in complex networks

has attracted a lot of attention. The main reason is that communities are supposed to play special

roles in the structure-function relationship, and thus detecting communities (or modules) can be a

way to identify substructures which could correspond to important functions.

Ahmed Ibrahem Hafez received his B.Sc. degree in 2008 in Computer

Science from the Faculty of Computers and Information (FCI) - Minia

University, Egypt. And now he is a master student at FCI-Cairo

University, Egypt. Currently, he is working as teaching assistant in FCI-

Minia University, Egypt. His research interests are social network

analysis, parallel computing and computer Vision. He has been working in

some projects like computer video game called hyper-battle in his

graduation project and a modification to the spawn process in MPICH2 for

parallel computing. He attends the LinkSCEEM-2 CyI 2011 Winter

School at Cyprus Institute Nicosia, Cyprus.

Most recent publication:

- E. A. Hassan, A. I. Hafez, A. Hassanien and A. A. Fahmy. "Community Detection

Algorithm Based on Artificial Fish Swarm Optimization. " In Intelligent Systems' 2014, pp.

509-521. Springer International Publishing, 2015.

- Ahmed Ibrahem Hafez, Eiman Tamah Al-Shammari, Aboul Ella Hassanien, Aly A. Fahmy:

Community detection in social networks using logic-based probabilistic

programming. IJSNM 2(2): 158-172 (2015)

Page 52: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

51 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Neutrosophic sets and its

applications

Sameh H.Basha (Ph.D. Student ) Member of Scientific Research Group in Egypt (SRGE)

Lecturer Assistant

Cairo University- Faculty of Science - Mathematics Department- Computer Science Division.

E-mail: [email protected]

Abstract: Everything around us described by some data so data is very important and essential to deal with

anything and in every field whether industries or social. With the rapid development and wide application of

the internet and database technology, volume of data rapidly increased and we have a huge amount of data

wherever this data and within these masses of data lies a hidden information and this massive data

described by imprecision, incomplete, vagueness, and inconsistency which led to decrease accuracy and to

increase complexity when deal with this data. Soft computing differs from conventional (hard) computing in

that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In

effect, the role model for soft computing is the human mind. Neutrosophic is a new soft computing approach

which can deal with imprecision, incompleteness, vagueness, and inconsistency data.Neutrosophic logic was

developed to represent mathematical model of uncertainty, vagueness, ambiguity, imprecision,

incompleteness, inconsistency, redundancy and contradiction. There are many theories existing to handle

such imprecise information, such as fuzzy set theory, probability theory, probability theory, intuitionistic

fuzzy set theory, paraconsistent logic theory, etc. These theories can only handle one aspect of imprecise

problem but not the whole in one framework. Neutrosophic can handle incomplete information as wells

inconsistent information without danger of trivialization.

Sameh H.Basha, is a Lecturer Assistant at the Department of

Mathematics, Computer Science Division, Faculty of Science, Cairo

University, Egypt. He received the B.Sc., degree in mathematics and

computer science from faculty of science, Cairo University in 2005. Also

he got his Master Degree in Computer Sciences from Cairo University

with Thesis Title “Complexity Analysis Of Input Rules for Genetic -

Fuzzy Data Mining” in 2011. Sameh now Ph.d Student under

Supervision of Prof Aboul Ella Hassanien (Cairo University-Faculty of

Computers and Information- Information Technology Department), Prof

Laila Fahmie and Dr Areeg Saied (Cairo University-Faculty of Science-

Mathematics Department) in subject Neutrosophic set and its applications.

Research Interest: 1- Soft Computing (Fuzzy Logic and Genetic algorithm) 2- Rough Set

3- Neutrosophis set and Neutrosophic Logic 4- Data Mining

Selected Publication (2015):

Page 53: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

52 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Chemoinformatics Algorithms

Ahmed Hassan Abu El-Atta (Ph.D. Student)

Member of Scientific Research Group in Egypt (SRGE)

Assistant Lecturer, Computer Science Department, Faculty of Computer and Information, Benha University, Benha,

Egypt

E-mail:

[email protected]

[email protected]

[email protected]

Abstract: Chemo-informatics (chemical informatics) is the field that seeks to use computer science, mathematics

and information techniques to solve some problems in the field of chemistry. Chemo-informatics has been applied in

Drug Discovery, Pesticide Design, Environment Protection, Material Design, Traditional Chinese Medicine (TCM),

Food Safety and etc., which relate to Chemistry. Chemo-informatics can also be described as a science aimed to

discover novel chemical entities that will result in the development of novel treatments for some medical needs.

Although Chemo-informatics also can be applied in many other fields that leads to design new molecules which can

be used in chemical and allied industries in various other forms. Kernels methods provide a powerful framework

combining machine learning and graph theory techniques. These kernels methods had led to impressive performance

results on many several chemo-informatics problems like biological activity prediction. The goal of the research is

how to use Chemo-informatics fields to make drug discovery easier. The study is intended to develop new graph

similarity algorithms or modifying existing algorithms to be used in drug discovery.

Ahmed Hassan, was born in Benha, Egypt in 1985. He received his B.Sc. degree in 2005 and M.Sc.

degree in 2011, from Faculty of Science, Computer Science Department, Benha University, Egypt.

He is an Assistant Lecturer at Computer Science Department, Faculty of Computers and

Information, Benha University, Egypt. He has authored/co-authored over 5 research publications in

peer-reviewed reputed journals and international conference proceedings.

Research Interest 1) Chemo-informatics, 2) Machine Learning, 3) Data Mining.

Selected Publication:

- Abu El-Atta AH, Moussa MI, Hassanien Aboul ella Predicting activity approach based on

new atoms similarity kernel function, Journal of Molecular Graphics and Modelling, Vl. 60,

pp. 55–62, 2015

Page 54: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

53 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Establishment of a computerized system for

the rehabilitation of injured or with physical

deformities persons

Kadry Ali Ezzat

Biomedical Department

Higher Technological Institute 10th of Ramdan city

Email: [email protected]

Abstract: One of the most critical problems in physicaldeformities is Scoliosis (from the Greek

skoliōsis meaning crooked condition) is a medical condition in which a person's spine is curved

from side to side. Although it is a complex three-dimensional deformity, on an x-ray, viewed from

the rear, the spine of an individual with a typical scoliosis may look more like an "S" or a "C" than

a straight line. It is typically classified as either congenital (caused by vertebral anomalies present

at birth), idiopathic (cause unknown, sub-classified as infantile, juvenile, adolescent, or adult

according to when onset occurred) or neuromuscular (having developed as a secondary symptom of

another condition, such as spina bifida, cerebral palsy, spinal muscular atrophy or physical trauma).

Our research is to establish computerized system to repair such this defects and rehabilitate the injured

persons

Kadry Ali Ezzat , was born in port-said, Egypt in 1982, He received his B.Sc.

degree in 2004, Teaching assistant in 2004 in biomedical department in higher

technological institute 10th of Ramdan city and M.Sc. degree in 2010 in biomedical

engineering Cairo university, the Thesis was with title ”3D segmentation and

visualization for mandible, maxilla and each teeth”, Now He is a assistant

literature in biomedical department in higher technological institute and he is Ph.D

student at biomedical engineering at Cairo university .His research interests are in

the areas of medical image processing , 3d segmentation and visualization in dental,

biomechanics ,artificial intelligence

Page 55: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

54 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Social Network Analysis

Ramadan Babers

PhD Student, Faculty of Science, Helwan University, Cairo, Egypt

Member of Scientific Research Group in Egypt (SRGE)

E-mail: [email protected]

Abstract: The investigation of the community structure has recently attracted considerable

attention in social networks analysis field. Social Networks defined by the interactions between

nodes, they are represented by a graph. The huge data of online social networks need to analyze and

discover the hidden relations between nodes. Our research’s objective is represented the community

detection as optimization problem and how to divide the network to communities of nodes.

Ramadan Babers received his B.Sc. degree in 1999 in Computer

Science from Faculty of Science - Helwan University, Egypt, and M.Sc.

degree in 2010 from Faculty of Science - Helwan University, Egypt.

Currently, he is PhD student in Faculty of Science - Helwan University,

Egypt. His research interests are social network analysis, community

detection in social networks and data mining.

Research

Interest

1) Social Network Analysis.

2) Data Mining.

Selected Publications:

1. Ramadan Babers, Neveen I. Ghali, Aboul Ella Hassanien, and Naglaa M. Madbouly, " Optimal

Community Detection Approach based on Ant Lion Optimization”, 11th International Computer

Engineering Conference, Cairo University, Egypt, December 29 - 30, 2015.

2. Ramadan Babers, Aboul Ella Hassanien, and Neveen I. Ghali, " A nature-inspired metaheuristic lion

optimization algorithm for community detection”, 11th International Computer Engineering

Conference, Cairo University, Egypt, December 29 - 30, 2015.

Page 56: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

55 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Master

Students

Page 57: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

56 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Bio-inspired versus Nature-inspired Optimizations for

Dimension Reduction and Parameters Tuning

Esraa Mohammed Elhariri, (M.Sc. Student)

Scientific Research Group in Egypt (Member)

Email: [email protected]

Abstract: Any classification problem depends on a set of features used to represent an object. This

means that they have an influence on classification results, as features may be irrelevant, noisy and

redundant data, and this results in bad classification accuracy. Also many machine learning (ML)

techniques which play a very significant role in solving different classification, analysis and

forecasting problems in several areas have parameters. Setting these parameters correctly helps at

finding the best classification models, which result in the best classification accuracy. So, feature

selection and classifier parameters tuning play a crucial role in obtaining a high classification

accuracy. The aim of this research it to present a hybrid classification system based on bio-inspired

and nature-inspired optimization techniques such as grey wolf optimizer (GWO) and water wave

optimizer algorithms for dimension reduction and parameters tuning.

Esraa M. El-hariri received her B.Sc. degree in 2010 in Computer Science from the

Faculty of Computers and Information (FCI) - Fayoum University, Egypt and M.Sc.

degree in 2015 from FCI-Cairo University, Egypt. Currently, she is working as

Lecturer assistant in FCI-Fayoum University, Egypt. She is a member in the scientific

research group in Egypt(SRGE) (www.egyptscience.net). Her M.Sc. topic was about

"Content-based image retrieval for agricultural crops". Her main research interests are

Machine learning, Image and Signal Processing, Bio-inspired Optimization and Cloud

Computing Security

Selected Publications:

1. Esraa Elhariri, Nashwa El-Bendary, Aboul Ella Hassanien, A Hybrid Classification Model

for EMG signals using Grey Wolf Optimizer", the 1st International Conference on

Advanced Intelligent Systems and Informatics (AISI’15) Springer, Beni Suef University,

Beni Suef, Eg, Nov. 28-30, 2015.

2. Esraa Elhariri, Nashwa El-Bendary, Aboul Ella Hassanien, Grey Wolf Optimization for

One-Against-One Multi-class Support Vector Machines", 7th IEEE International

Conference of Soft Computing and Pattern Recognition, , Kyushu University, Fukuoka,

Japan, , November 13 - 15, 2015.

Page 58: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

57 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Automatic Computer-Aided Diagnosis System in Medical Imaging

Gehad Ismail Sayed

Master Student, Faculty of Computers and Information, Cairo University

SRGE member (www.egyptscience.net)

Emails: [email protected], [email protected]

Abstract

Medical imaging is the process of creating visual representation of human body. It plays an

essential role in human body diagnosis and treatment. It is quite common that for the same set of

medical images, different doctors may come up with different diagnosis results. Computer-Aided

Diagnosis (CAD) has become one of the major research subjects in diagnostic medical imaging.

The main objective of CAD is to provide a fully automatic system which assist radiologists in

medical image interpretation through reducing the image reading time and improving the accuracy

and consistency of radiological diagnosis. This work introduces various CAD systems for different

medical imaging tools under two main approaches. These approaches are Neutrosophic Set and

Swarm Optimization approaches. Different medical imaging datasets such as CT, Thermal and

histopathology are used in these experiments. The experimental results show the efficiency of the

proposed CAD systems. Moreover, they have been compared with other related works.

Gehad Ismail Sayed was born in Cairo in 1993. She graduated from Cairo University

with B.Sc in Computer Science, 2013. She worked as software engineering for two

years. In 2014, she worked for Delta Software for ERP and Business Solution. In

2015, she worked for Sadeem Knowledge for Big Data and Analytic Solutions.

Currently she is information system specialist at Egyptian civil aviation authority,

master student at faculty of computers and information, Cairo University, IT

department and member at Scientific Research Group in Egypt (SRGE). Her research

interests include: Machine Learning, Data Analytics, Pattern Recognition and Image

Processing. She has many publications for this area.

List of Recent Publications:

[1] M. Ali, G. Sayed, T. Gaber, A. Hassanien, V. Snasel and L. Silva, "Detection of Breast

Abnormalities of Thermograms based on a New Segmentation Method", Proceedings of the

Federated Conference on Computer Science and Information Systems (ACSIS), IEEE, Vol. 5, Lodz,

Poland, PP. 255-261, 2015.

[2] T. Gaber, G. Sayed, A. Anter, M. Soliman, M. Ali, N. Semary, A. Hassanien and V. Snasel,

"Thermogram Breast Cancer Detection Approach Based on Neutrosophic Sets and Fuzzy C-Means

Algorithm", 37th Annual International Conference of the IEEE Engineering in Medicine and

Biology Society (EMBC), IEEE, PP. 4254-4257, Milano, Italy, 2015.

Page 59: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

58 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Falling detection for seniors

Mai Nadi Ahmed (Master Student)

Member of Scientific Research Group in Egypt (SRGE)

E-mail:[email protected]

Abstract: The problem of the falls in the elderly has become a health care priority around the

world due to the related high social and economic costs. Fall detection has been recognized as an

effective approach for fall prevention. It can minimize fall related injuries by initiating timely

medical treatment. Besides, early detection of falls in the pre-impact phase can help activate on-

demand protection device, such as the inflatable airbag, so that any injuries caused by fall impacts

can be avoided. The elderly may not be able to activate a PERS (personal emergency response

systems) due to the potential loss of consciousness. Since fall-detection is an ill-defined process it

is also an interesting scientific problem. Many solutions have been proposed in detection and

prevention of falls and some excellent review studies were presented. The commonly solution is to

detect the falling by camera vision to protect the privacy of the person and enable the seniors more

comfortable than a ware sensors devices in everywhere in this body.

Mai Nadi Ahmed was born in Saudi Arabia in 1990. He received his B.Sc. degree in

2011. Now preparing M.Sc. at Faculty of Computers and Information, Information

Technology Department, Cairo University, Egypt.

Research Interest

Computer Vision, 2) Seniors field and 3) Image Processing.

Selected Publication

Mai Nadi, Nashwa El-Bendary, Aboul ella hassanien, Tai-Hoon Kim Falling Detection System

based on Machine Learning AITA2015 (2015 4th IEEE International Conference on Advanced

Information Technology and Sensor Application (AITS 2015)

Page 60: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

59 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Community Detection within Social Networks

Eslam Ali Hassan (M.Sc. Student)

Faculty of Computer and Information, Cairo University

Scientific Research Group in Egypt (www.egyptscience.net)

Email: [email protected]

Abstract. A social network is a graph made of nodes that are connected by one or more specific types of

relationships, such as values, friendship, work. The goal of community detection in networks is to identify

the communities by only using the information embedded in the network topology. Many methods have been

developed for the community detection problem. These methods use tools and techniques from disciplines

like physics, biology, applied mathematics, and computer and social sciences.One of the special interests in

social network analysis is discovering community structure. Community is a group of nodes that are tightly

connected to each other and loosely connected with other nodes. Community detection is the process of

network clustering into similar groups or clusters. Community detection has many applications including

realization of the network structure, detecting communities of special interest, visualization , etc.

Eslam graduated from the Faculty of Computers and Information – Cairo

University (FCI-CU) in 2007 with Excellent with Degree of Honour, He is

working as a teaching assistant at FCI-CU, and He is a member in the scientific

research group in Egypt (SRGE). His master topic is about "Community

Detection within Social Networks"; He is investigating Nature-Inspired

algorithms to detect communities within social networks.He has a good

programming experience using a variety of technologies; he is a certified Java

programmer (2010) from Sun Microsystems, and IBM Certified Mobile

Application Developer – IBM academic initiative (2014), he has worked in a

variety of projects using the .Net development stack.

Research Interest 1) Social Networks Analysis

2) Data Mining

3) Machine Learning

4) Computer Vision

List of publications 2015:

- E. A. Hassan, A. I. Hafez, A. Hassanien and A. A. Fahmy. "Community Detection Algorithm Based on

Artificial Fish Swarm Optimization" In Intelligent Systems' 2014, pp. 509-521. Springer International

Publishing, 2015.

Page 61: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

60 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Social relationships in Reallity mining

Moustafa Zein

Scientific Research Group in Egypt (SRGE)

Computer Science Department, Thebes Academy

Cairo - Egypt E-mail: [email protected]

Abstract: Social relationships or personalize interfaces is one of the most impressive topic in

human behavior studies. A social relationship modeling depends on relation modifiers. The

relation modifiers represent relation attitude and change. Some Social relationships modeling

is need to be identified and standardized circles of relations. In present study, we introduce a

relation modifiers modeller to identify circles of social relationships based on smartphone

photo gallery. There are four relation modifiers drived in study such as (degree of relation,

transitivity, decay or lifetime, and trust). These modifiers represent the main part of proposed

relation modifiers modeller. This is the first paper introduces relation modifiers identification

from smartphone photo gallery. The model results achieved accuracy up to 70% with decay

modifiers, and accuracy of trust modifier reached 98%.

Moustafa Zein graduated from faculty of computer and information, Cairo

University in 2012. I am teaching assistant at Thebes’s academy, computer

science Department and master student in Cairo university. I am a member of

the Reality Mining team in scientific research group in Egypt (SRGE). My main

research interests are Biomedical engineering, Cheminformatics, and Reality

Mining. I participated in publishing three papers in peer-review international

conference proceedings.

List of publications in 2015:

3. Moustafa Zein, Ammar Adl, Aboul ella hassanien, Tai-Hoon Kim, Friendship classification from

Psychological theories to computational model, 2015 Fourth IEEE International Conference on

Information Technology and Computer Science (ITCS 2015) 8-11 July 2015 in Kota Kinabalu, Kota

Kinabalu, Malaysia

4. Moustafa Zein, Ammar Adl, Amr Badr, Aboul ella Hassanien, Tai-Hoon Kim A Social Relationship

Modifiers Modeller, CIA 2015 (2015 3rd IEEE International Conference on Computer, Information and

Application (CIA 2015), 21-23 May 2015 in Yeosoo, Yeosoo, South Korea, pp. 33 – 37, 2015.

Page 62: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

61 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Hydro informatics and aquatic weeds

prediction

Rania ElesawyAbdElrahim Master student Member of Scientific Research Group in Egypt (SRGE)

E-mail: [email protected]

Abstract: Aquatic weeds are the greatest generator of biomass in aquatic environment which

motivation intelligent methods for prediction and estimation of indicators that affect the growth of

weeds. In this study a set of new interpolation methods are used and assessed over the study area for

predicting a set of chemical indicators that can predict and affect the growth of weeds. The used

methods are bi-harmonic, regularized spline with Tension, Barnes, tri-scatter, and Kriging. The

different interpolants are used to create thematic maps representing the different chemical indicators

that are sensed at discrete positions for supporting decision making. The performance of individual

interpolantsis assessed using mean square error over a set of test sites. Results prove that the Tri-

scatter interpolant is the one with best performance for all the sensed indicators while the

regularized spline performs well when the number of points for interpolation is

large enough. .

Rania E.Elesawy was born in Tripoli, Libya. Studied at Ain Shams University

Faculty of science Department of computer science and pure math, Studied

Information system at the Institute of Statistical Studies and Research Graduate

Specialization Diploma in information system 2011/2012. Pre Masters 2012/2013.

Started M.Sc.in March2014, at the Institute of Statistical Studies And Research,

information system Department, Cairo University, Egypt.

Research Interest

1) Machine Learning, 2) System Analysis,3) Knowledge Base System, 4) DataMining,5 ) E-

commerce&6) Expert System.

Page 63: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

62 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

An Intelligent Diagnosis System for Heart Sound

Analysis

Ahmed Hamdy, Master Student.

Scientific Research Group in Egypt (Member)

Institute of Statistical Studies and Research, Cairo University (ISSR)

Email: [email protected]

Abstract:Truly, heart is successor to the brain in being the most significant vital organ in the body

of a human. Heart, being a magnificent pump, has his performance orchestrated via a group of

valves and highly sophisticated neural control. While the kinetics of the heart is accompanied by

sound production, sound waves produced, by the heart, are reliable diagnostic tools to check heart

activity. Chronologically, several data sets have been put forward to sneak on the heart

performance and lead to medical intervention whenever necessary. Research problem consists of

opening problem (valvular stenosis) and closing problem (valvular insufficiency).Research

objective is to deal with the heart opening and closing valves sounds problems, namely

insufficiency or regurgitation respectively, and stenosis of the 4 heart valves. The heart sounds data

set, utilized in this research, provides researchers with abundance of sound signals that was

classified using different classification algorithms as; SVM, decision tree, rotation forest, random

forest, etc.

Ahmed Hamdy El-Sayed a master student at Cairo University, Institute of

Statistical Studies and Research (ISSR), Computer Science Department. He is a

member in Scientific Research Group in Egypt (SRGE)www.egyptscience.net/.

His master topic in "Intelligent System for Heart Sound Analysis". His received

his B.Sc. degree from Faculty of Commerce, Cairo University 2001. He has

authored of 2 research papers in Federated Conference on Computer Science and

Information System (FedCSIS), Wroclaw 2012 and Krakow 2013, Poland

respectively. His research interested includes Bioinformatics, machine learning, and data mining.

Page 64: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

63 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

-

An automatic flower classification

using machine learning algorithms

Mona Abbass

Master Computer Sciences (Database Management Systems)

Member in Scientific Research Group in Egypt (SRGE)

Central Laboratory for Agricultural Expert System, Agricultural Research Center

E-mail: [email protected]

Abstract: This work aims to develop an effective flower classification approach using machine learning

algorithms. Eight flower categories were analyzed in order to extract their features. Scale Invariant Feature

Transform (SIFT) and Segmentation based Fractal Texture Analysis (SFTA) algorithms are used to extract

flower features. The proposed approach consists of three phases namely: segmentation, feature extraction,

and classification phases. In segmentation phase, the flower region is segmented to remove the complex

background from the images dataset. Then flower image features are extracted. Finally for classification

phase, the proposed approach applied Support Vector Machine (SVM) and Random Forests (RF) algorithms

to classify different kinds of flowers. An experiment was carried out using the proposed approach on a

dataset of 215 flower images. It shows that Support Vector Machine (SVM) based algorithm provides better

accuracy compared to the Random Forests (RF) algorithm when using the SIFT as a feature extraction

algorithm, While Random Forests (RF) algorithm provides its better accuracy with SFTA. Moreover, the

system is capable of automatically recognize the flower name with a high degree of accuracy.

Mona Abbass is an assistant Researcher at Central Lab for Agricultural

Experts Systems, Ministry of Agriculture and Land Reclamation. She

received her Master Degree from faculty of science, Helwan University

with Thesis Title “Transaction Processing in Distributed Database

Systems”. She has published 4 papers in international conferences and

journals.

research interest 1) Database Management Systems, 2) Semantic Web, and 3) Image

Processing.

Selected Publication 2015:

Page 65: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

64 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Swarms optimization techniques hybrid

with machine learning for feature selection

Waleed Yamany Ph.D. Student

Member of Scientific Research Group in Egypt (SRGE)

Faculty of Computers and Information, Fayoum University, Fayoum, Egypt.

Email: [email protected]

Abstract. Feature selection is one of the most essential problems in the fields of data mining,

machine learning and pattern recognition. The main purpose of feature selection is to determine a

minimal feature subset from a problem domain while retaining a suitably high accuracy in

representing the original features. In real world problems, feature selection is a must due to the

abundance of noisy, misleading or irrelevant features. By removing these factors, learning from data

techniques can useful greatly. The motivation of feature selection in data mining, machine learning

and pattern recognition is to reduce the dimensionality of feature space, improve the predictive

accuracy of a classification algorithm, and develop the visualization and the comprehensibility of

the induced concepts. We propose feature selection strategy based on machine learning including

rough set/neural networks and many optimization techniques such that bat, cuckoo, gray wolf

algorithms. This optimization algorithm find optimal regions of the complex search space through

the interaction of individuals in the population.it requires only primitive and easy mathematical

operators, and is computationally inexpensive in terms of both memory and runtime

Waleed Yamany received her B.Sc. with honors in 2007 from Faculty of

science, mathematics department, fayoum university, He received her Pre-Master

in 20 90 from Faculty of science, mathematics department, fayoum university, He

is a teaching assistant at faculty of computers & Information, Basic science

department, fayoum university since 2009, He is a member in the scientific

research group in Egypt (SRGE) (www.egyptscience.net). Her master topic is

about "Rough Set and Application". His main research interests are, Data Mining

and Optimization Techniques.

Research Interest 1) Machine Learning, 2) Image Processing,

3) Optimization Techniques, 4) Data Mining.

Selected publications 2015:

- E. Emary, Hossam M. Zawbaa, Waleed Yamany, Aboul Ella Hassanien Hybrid flower pollination

algorithm with rough sets for feature selection, 11th IEEE International Computer Engineering

Conference, Cairo, EGYPT December 29-30, pp. 278 - 283,2015

- Waleed Yamany, Mohammed Fawzy, Alaa Tharwat, Aboul Ella Hassanien Moth-Flame

Optimization for Training Multi-layer Perceptrons, 11th IEEE International Computer Engineering

Conference, Cairo, EGYPT December 29-30, pp. 267 – 272, 2015

Page 66: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

65 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Feature selection and case retrieval

HebaAyeldeen, (M.Sc. Student)

Scientific Research Group in Egypt (Member)

Faculty of Computer and Information, Cairo University

Email: [email protected]

Abstract: Knowledge acquisition is considered as an extraordinary issue concerning organizations and decision

makers nowadays. Learning from previous failures and successes saves plenty of time in understanding

the problems and visualizing data. Finding the similarities between objects as well as knowledge

extraction sometimes is a complicated issue to handle concerning decision makers and executive

managers. Case-based reasoning as a concept covers almost a lot of technologies and techniques

including knowledge management, artificial intelligence, machine learning techniques as well as

database technology.

Heba Ayeldeen,is a master student at the Department of Information

Systems, Faculty of Computer Science and Information, Cairo University.

She received her B.S.c., degree in Information System from Faculty of

Computer Science and Information, Cairo University in 2008. The thesis

title is "Using Case-Based Reasoning for Decision Support". Heba has

published about 6 papers in Peer Reviewed International Conferences and

still working on more. Heba is working as well as SAP Business

Intelligence Consultant concerning with data visualization and Business

Object tools.

Selected Publications:

Heba Ayeldeen, Olfat Shaker, Osman Hegazy and Aboul Ella Hassanien, "Case-based

reasoning: A knowledge extraction tool to use" in Second International Conference on

Information Systems Design and Intelligent Applications – 2015, Springer, India, 2015.

Heba Ayeldeen, Osman Hegazy and Aboul Ella Hassanien, " Case selection strategy based

on K-means clustering" in Second International Conference on Information Systems Design

and Intelligent Applications – 2015, Springer, India, 2015.

Page 67: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

66 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Case-based reasoning system for

assessing water pollution

Asmaa Hashem Abd El-tawab, M.Sc. Student.

Member of Scientific Research Group in Egypt (SRGE)

Faculty of Computers and Information, Fayoum University

Email: [email protected]

Abstract: The monitoring of water quality is a great challenge today. To carry out chemical

analysis continuously is complex and expensive, and also provides limited data about the chemical

compounds which ignores the influence of those excluded in the analysis. Fish Liver and gills

observed microscopically showed increasing degrees of damage in the tissues in correlation with

the quality of water. So we use the fish liver and gills as a biomarker for water quality. This

research presents system using Case-based reasoning and machine learning to automate the process

of assessing water quality by examining and classifying different Fish liver and Gills

histopathology.

Asmaa Hashem Abd El-tawab, received her B.Sc. with honours in 2010 from

Faculty of Computers & Information, information system department, Fayoum

university, She received her Pre-Master in 2013 from Faculty of Computers &

Information, Information system department, Cairo university, She is a

demonstrator at faculty of computers & Information Fayoum university since

2010, She is a member in the scientific research group in Egypt (SRGE)

(www.egyptscience.net). Asmaa master topic is about “Case-based reasoning

System for Assessing Water Pollution".

Publications 2015

- Asmaa Hashem Sweidan, Nashwa El-Bendary, Aboul Ella Hassanien, Osman

Mohammed Hegazy, A. E.-K. Mohamed: Grey Wolf Optimizer and Case-Based

Reasoning Model for Water Quality Assessment. AISI 2015: 229-239

- Asmaa Hashem Sweidan, Nashwa El-Bendary, Osman Mohammed Hegazy, Aboul Ella

Hassanien: Biomarker-Based Water Pollution Assessment System Using Case-Based

Reasoning. ECC 2015: 547-557

Page 68: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

67 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

A Recommender System for the

Rehabilitationof people with disabilities

Rehab Mahmoud Abdel Raheem (M.Sc. Student)

Member of Scientific Research Group in Egypt (SRGE)

Faculty of Computers and Information, Fayoum University

Email: [email protected]

Abstract: Disability affects people’s behavior in their life and their participation in daily activities specially

the injuries of spinal cord. The injuries of spinal cord may be caused by accidents or sports. Those types of

injuries have various effects on many sides in person life. Consequently, people with spinal cord injury

(SCI) have difficulty in participating in routine daily activities. Also they need different types of care to keep

their health status in progress. This may take a long time according to the type of their injury. So, a

recommender system for providing rehabilitation methods of patient with spinal cord injury diseases is

required. The International Classification for Functioningdisability and health (ICF) framework. ICF is a

standard classification system which aims to improve integration of health information, and ensuring the

collection of accurate health data.

Rehab Mahmoud Abdel Raheem, received her B.Sc. with honours in 2010

from Faculty of Computers & Information, information system department,

Fayoum university, She received her Pre-Master in 2013 from Faculty of

Computers & Information, Information system department, Cairo university,

She is a demonstrator at faculty of computers & Information Fayoum

university since 2010, She is a member in the scientific research group in

Egypt (SRGE) (www.egyptscience.net). Rehab master topic is about “A

Recommender System for the Rehabilitation of people with disabilities".

- Rehab Mahmoud, Nashwa El-Bendary, Hoda M. O. Mokhtar, Aboul Ella Hassanien,

Similarity Measures based Recommender System for Rehabilitation of People with

Disabilities. The 1st International Conference on Advanced Intelligent Systems and

Informatics (AISI’15) , Springer. Beni Suef University, Beni Suef, Egypt during Nov. 28-

30, 2015.

Page 69: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

68 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Evolutionary particle swarm optimization for fast

fuzzy c-means clustering on liver CT images

Abder-Rahman Ali (Ph.D. Student)

Scientific Research Group in Egypt (SRGE)

Email: [email protected]

Abstract: An Evolutionary Particle Swarm Optimization based on the Fractional Order Darwinian

method for optimizing a Fast Fuzzy C-Means algorithm is being proposed. This research aims at

enhancing the performance of Fast Fuzzy C-Means, both in terms of the overall solution and speed.

To that end, the concept of fractional calculus is used to control the convergence rate of particles,

wherein each one of them represents a set of cluster centers. The proposed solution, denoted as

FODPSO-FFCM, is applied on liver CT images, and compared with Fast Fuzzy C-Means and

PSOFFCM, using Jaccard Index and Dice Coefficient. The computational efficiency is achieved by

using the histogram of the image intensities during the clustering process instead of the raw image

data.

Abder-RahmanAli, received his BSc in Computer Science in 2006 from the

University of Jordan,MSc Software Engineering in 2009 from DePaul University,

and is currently pursuinghis Ph.D. degree in France,in the area of fuzzy clustering

and discrete geometry of MRI and ultrasound imaging sequences for Hepa-

tocellular Carcinoma (HCC).He is very passionate to the idea of applying

computer science to medical imaging, and software engineering to medical device

software systems, in an eventual goal to come up with algorithms and systems that

aid in Computer Aided Diagnosis (CAD).

Selected publications:

- Mc Hugh, Martin andAli, Abder-Rahman and Mc Caffery, Fergal (2013) The Significance of

Requirements in Medical Device Software Development. In: EuroSPI 2013, 25-27 June, Dundalk,

Ireland.

- Abder-Rahman A. Ali, Thomas M. Deserno, "A Systematic Review of Automated Melanoma

Detection in Dermatoscopic Images and its Ground Truth Data", Proc. SPIE 8318, 83181I (2012)

Page 70: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

69 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Swarm intelligence for image segmentation

Micael S. Couceiro,(Ph.D. Student)

Institute of Systems and Robotics

Faculty of Sciences and Technology, University of Coimbra, Portugal

Email: [email protected]

Abstract: Image segmentation plays an essential role in image analysis and, as such, it has been widely used

fortopological feature extraction, quality inspection, medical imaging, among many other applications.Given

its range of applicability, several image segmentation strategies were proposed over the last years,

comprising on threshold, regional, edge detection and clustering methods. However, regardless on the

approach, the automatic selection of a robust optimal method still remains a challenge in image

segmentation. Most traditional methods present several drawbacks, being most of the time susceptible to

suboptimal solutions or requiring a high computational power to achieve acceptable results. Therefore,

image segmentation techniques inspired by swarm intelligence have becomeincreasingly popular during the

last decade.These systems mimics the decentralized behavior of swarms of social insects, flocks ofbirds, or

schools of fish, presenting a higher level of robustness and flexibility than traditional techniques.

Micael S. Couceiro, was born in Étamps, France in 1984. He received his B.Sc.

degree in 2006, Teaching Licensure in 2008 and M.Sc. degree in 2010, all in

Electrical Engineering atthe Engineering Institute of Coimbra, Polytechnic

Institute of Coimbra (ISEC-IPC), Portugal. He is a researcher at the Institute of

Systems and Robotics (ISR),being currently finishing his Ph.D. on Electrical

and Computer Engineering, Automation and Robotics, at the Faculty of

Sciences and Technologies, University of Coimbra (FCTUC), Portugal. He has

authored/co-authored over 80 research publications in peer-reviewed reputed

journals, book chapters and conference proceedings.His research interests are in

the areas of swarm intelligence, robotics, automation,swarm intelligence, video

and image processing, biomimetics, sport sciences, applied mathematics and

others.

Selected publication:

- P. Ghamisi, M. S. Couceiro, F. M. L. Martins and J. A. Benediktsson. “Multilevel Image

Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization”, IEEE

Transactions on Geoscience and Remote Sensing, 99, pp. 1-13, 2013.

- M. S. Couceiro, G. Dias, R. Mendes & D. Araújo. “Accuracy of Pattern Detection Methods in the

Performance of Golf Putting", Journal of Motor Behavior, Vol. 45, No. 1, 2013.

- M S. Couceiro, R. P. Rocha, N. M. F, Ferreira & J. A. T. Machado. "Introducing the Fractional

Order Darwinian PSO", Signal, Image and Video Processing, Fractional Signals and Systems

Special Issue, Springer, 2012.

Page 71: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

70 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Organize several workshops in the

Egyptian universities (full list of all organized local

workshops at the end of this report)

Page 72: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

71 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Travelling with students to attend int.

conferences

Page 73: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

72 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Organizing and chairing International

Conferences in Egypt (to support our

research community)

Page 74: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

73 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

SRGE monthly meeting

Page 75: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

74 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

SRGE Publications (2015)

1. Tarek Gaber, Aboul Ella Hassanien, Nashwa El bendary, Dey Nilanjan, the 1st international

conference on advanced Machine Intelligents and Informatics (AISI2015) 28-30 Nov. 2015,

Beni-Suef, Springer, 2015

2. Aboul Ella Hassanien, Eid Alamry, Swarm Intelligence: Principles, Advances, and

Applications, CRC – Taylor & Francis Group, 2015, ISBN 9781498741064 - CAT# K26721

3. Aboul-Ella Hassanien, Crina Grosan, Mohamed Fahmy Tolba, Applications of Intelligent

Optimization in Biology and MedicineL Current Trends and Open Problems, Intelligent

Systems Reference Library, Volume 96 2016 ISBN: 978-3-319-21211-1 (Print) 978-3-319-

21212-8 (Online)

4. Aboul Ella Hassanien, Ahmad Taher Azar, Vaclav Snasel, and Janusz Kacprzyk Big Data

in Complex System: challenges and opportunities, Big Data Sets (BDS) series by Springer,

Vol. 9, 2015, ISBN 978-3-319-11056-1

5. Aboul Ella Hassanien, Ahmad Taher Azar Brain Computer Interface: Trends and

applications, Intelligent Systems Reference Library, Springer, Vol. 74, 2015, ISBN 978-3-

319-10978-7

6. Ahmed Fouad Ali, Aboul Ella Hassanien: A Survey of Metaheuristics Methods for

Bioinformatics Applications.Applications of Intelligent Optimization in Biology and

Medicine 2016: 23-46

7. Ahmed Fouad Ali, Aboul Ella Hassanien: A Simplex Nelder Mead Genetic Algorithm for

Minimizing Molecular Potential Energy Function. Applications of Intelligent Optimization

in Biology and Medicine 2016: 1-21

8. Abder-Rahman Ali, Micael S. Couceiro, Ahmed M. Anter, Aboul Ella Hassanien: Particle

Swarm Optimization Based Fast Fuzzy C-Means Clustering for Liver CT

Segmentation. Applications of Intelligent Optimization in Biology and Medicine 2016: 233-

250

9. Mohamed Tahoun, Abd El Rahman Shabayek, Aboul Ella Hassanien, Eid Emary, Marcello

Maria Giovenco and Ralf Reulke Satellite Image Registration: A Comparative Study Using

Invariant Local Features, Image Feature Detectors: Foundations, Innovations, and

Page 76: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

75 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Applications, Volume 630 of the series Studies in Computational Intelligence pp 135-171

Springer, 2016

10. Asmaa Osamaa, Shaimaa Ahmed El-Said and Aboul Ella HassanienEnergy-Efficient Routing

Techniques for Wireless Sensors Networks, In Handbook of Research on Emerging

Technologies for Electrical Power Planning, Analysis, and Optimization, IGI, 2016.

11. Sirshendu Hore, Tanmay Bhattacharjee, Nilanjan Dey, Ayan Banerjeei, S.R.Bhadra

Chaudhuri and Aboul Ella Hassanien Real Time Dactylology Based Selective Image

Encryption Using Speeded Up Robust Features Extraction Technique and Artificial Neural

Network , Image Feature Detectors: Foundations, Innovations, and Applications, Volume

630 of the series Studies in Computational Intelligence pp 203-226 Springer, 2016

12. Abdelhameed Ibrahim, Takahiko Horiuchi, Shoji Tominaga and Aboul Ella Hassanien

Spectral Invariant for Spectral Reflectance Images and Its Application: Image Feature

Detectors: Foundations, Innovations, and Applications, Volume 630 of the series Studies in

Computational Intelligence pp 227-254 Springer, 2016

13. Islam Ibrahim Amin, Aboul Ella Hassanien,Samar K. Kassim, and Hesham A. Hefny, Big

DNA Methylation Data Analysis and Visualizing in a Common Formof Breast Cancer,

Springer International Publishing Switzerland 375 A.E. Hassanien et al.(eds.) Big Data in

Complex Systems, Studies in Big Data 9, DOI: 10.1007/978-3-319-11056-1_13 (2015)

14. Mohamed Mostafa Eltaweel and Aboul Ella Hassanien, Key Pre-distribution Techniques for

WSN Security Services. In Bio-inspiring Cyber Security and Cloud Services: Trends and

Innovations, Intelligent Systems Reference Library, Springer,

15. Hannah Inbarani, S. Udhaya Kumar, Ahmad Taher Azar, Aboul Ella Hassanien, Hybrid

Rough-Bijective Soft Set-based Classification for Medical Diagnosis, TRANSACTION on

ROUGH SETS (Accepted), 2016

16. Mrutyunjaya Panda · Aboul Ella Hassanien · Ajith Abraham, Hybrid Data Mining

Approach For Image Segmentation Based Classification, International Journal of Rough

Sets and Data Analysis (accepted) 01/2016;

17. Asmaa Hashem Sweidan, Nashwa Mamdouh, El-Bendary, Osman Mohammed Hegazy;

Aboul Ella Hassanien, Abd El-karim Mohamed, .Hybrid-Biomarker Case-Based Reasoning

System for Water Pollution Assessment in Abou Hammad Sharkia, Egypt, Applied Soft

computing, 2015, (Available online 27 November 2015),

Page 77: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

76 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

18. E. Emary, Hossam M. Zawbaa and Aboul Ella Hassanien, Binary grey wolf optimization

approaches for feature selection, Neurocomputing, Volume 172, 8 January 2016, Pages

371–381.

19. Shang-Ling Jui, Shichen Zhang, Weilun Xiong, Fangxiaoqi Yu, Mingjian Fu, Dongmei

Wang, Aboul Ella Hassanien and Kai Xiao Brain MR Image Tumor Segmentation with 3-

Dimensional Intracranial Structure Deformation Features, IEEE Intelligent

Systems, http://doi.ieeecomputersociety.org/10.1109/MIS.2015.93, 2015

20. Aboul Ella Hassanien, Eid Emary, Hossam M. Zawbaa: Retinal blood vessel localization

approach based on bee colony swarm optimization, fuzzy c-means and pattern search. J.

Visual Communication and Image Representation 31: 186-196 (2015)

21. Ahmad Taher Azar, Senthil kumar S, Hannah Inbarani H, Aboul Ella Hassanien,

Pessimistic Multi-granulation Rough set based Classification for Heart Valve Disease

Diagnosis, International Journal of Modelling, Identification and Controlm 2015

22. Amira S. Ashour, Sourav Samanta, Nilanjan Dey, Noreen Kausar, Wahiba Ben

Abdessalemkar, Aboul Ella Hassanien Computed Tomography Image Enhancement Using

Cuckoo Search: A Log TransformBased Approach, Journal of Signal and Information

Processing, 6(3), 244-257, 2015.

23. Manash Sarkar, Soumya Banerjee, Aboul Ella Hassanien, Evaluating the Degree of Trust

under Context Sensitive Relational Database Hierarchy Using Hybrid Intelligent Approach.

International Journal of Rough Sets and Data Analysis, 2(1), 1-22, January-June 2015

24. Aboul Ella Hassanien, Mohamed Abdelfatah, Khaled Amin, Shriihan Mohamed, A novel

hybrid binarization techniques for image of historical Arabic mansuscripts. Studies in

informatics and control, vol. 24(3), pp.271-282, 2015.

25. Shaimaa Ahmed El-said, Asmaa Osamaa, Aboul Ella Hassanien Optimized hierarchical

routing technique for wireless sensors networks, Soft Computing, 2015

26. Mohamed Mostafa Fouad, Václav Snášel and Aboul Ella Hassanien Energy-aware Sink

Node Localization Algorithm for Wireless Sensor Networks, Int. Journal of Distributed

Sensor Networks, 2015

27. Ahmed Radhwan, Mahmoud Kamel, Mohammed Y. Dahab, Aboul Ella Hassanien

Forecasting Exchange Rates: A Chaos-Based Regression Approach. Intelligent Approach.

International Journal of Rough Sets and Data Analysis, 2(1), 38-57, January-June 2015

Page 78: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

77 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

28. Hannah Inbarani H, Selva Kumar, Aboul Ella Hassanien, Ahmad Taher Azar, Hybrid TRS-

PSO Clustering Approach for Web2.0 Social Tagging System. Intelligent Approach.

International Journal of Rough Sets and Data Analysis, 2(1), 22-37, January-June 2015

29. Abu El-Atta AH, Moussa MI, Hassanien Aboul ella Predicting activity approach based on

new atoms similarity kernel function, Journal of Molecular Graphics and Modelling, Vl. 60,

pp. 55–62, 2015

30. Nashwa El-Bendary, Esraa El hariri, Aboul Ella Hassanien and Amr Badr “Using

Machine Learning Techniques for Evaluating Tomato Ripeness”

Expert Systems With Applications, Vol. 42, pp.1892–1905 2015

31. Ahmed M. Anter, Aboul Ella Hassanien, Ahmad Taher Azar,

Mohamed Abu ElSoud, Automatic Liver Parenchyma Segmentation System from

Abdominal CT Scans using Hybrid Techniques, International Journal of Biomedical

Engineering and Technology, vol. 17(2), 2015.

32. Alaa Tharwat Hani Mahdi, Adel El Hennawy, Aboul Ella Hassanien, Face Sketch

Recognition Using Local InvariantFeatures, 7th IEEE International Conference of Soft

Computing and Pattern Recognition,Kyushu University, Fukuoka, Japan, November 13 -

15, 2015

33. Gehad Ismail ; Ahmed Anter ; Mona Soliman ; Mona Ali ; Noura

Semary ; Aboul Ella Hassanien ;Vaclav Snasel, Thermogram breast cancer prediction

approach based on Neutrosophic sets and fuzzy c-means algorithm, 37th Annual

International Conference of the IEEE On Engineering in Medicine and Biology Society

(EMBC), 25-29 Aug. pp. 4254 – 4257, 2015

34. Mohamed Abd Elfattah, Aboul Ella Hassanien, Abdalla Mostafa, Ahmed Fouad Ali,

Khalid M. Amin, Sherihan Mohamed, Artificial bee colony optimizer for historical Arabic

manuscript images Binarizaiton, 11th IEEE International Computer Engineering

Conference, Cairo, EGYPT December 29-30, pp. 251 - 255, 2015

35. Guangyao Dai, Zongmei Wang, Chao Yang, Hongbo Liu, Aboul Ella Hassanien, Wanqing

Yang A Multi-granularity Rough Set Algorithm for Attribute Reduction through Particles

Page 79: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

78 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

Particle Swarm Optimization, 11th IEEE International Computer Engineering Conference,

Cairo, EGYPT December 29-30, pp. 303 – 307, 2015

36. Usama Mokhtar, Aboul Ella Hassanien, Mona A. S. Ali, Hesham Hefny Tomato leaves

diseases detection approach based on support vector machines, 11th IEEE International

Computer Engineering Conference, Cairo, EGYPT December 29-30, pp. 246 – 250, 2015

37. Mohamed Mostafa Fouad, Ahmed Ibrahem Hafez, Aboul Ella Hassanien, Vaclav Snasel

Grey Wolves Optimizer-based Localization Approach in WSNs, 11th IEEE International

Computer Engineering Conference, Cairo, EGYPT December 29-30, pp. 256 – 260, 2015

38. Cun Hang, Fei Hu, Aboul Ella Hassanien and Kai Xiao Texture-based Rotation-Invariant

Histograms of Oriented Gradients, 11th IEEE International Computer Engineering

Conference, Cairo, EGYPT December 29-30, pp. 223 – 228, 2015

39. Ramadan Babers, Aboul Ella Hassanien, Neveen I. Ghali Optimal Community Detection

Approach Based on Ant Lion Optimization, 11th IEEE International Computer

Engineering Conference, Cairo, EGYPT December 29-30, pp. 284 – 289,2015

40. Ramadan Babers, Aboul Ella Hassanien and Neveen I. Ghali A nature-inspired

metaheuristic lion optimization algorithm for community detection, 11th IEEE International

Computer Engineering Conference, Cairo, EGYPT December 29-30, pp, 217 – 222, 2015

41. Moataz Kilany ; Aboul Ella Hassanien ; Amr Badr, Accelerometer-based human activity

classification using Water Wave Optimization approach, 11th IEEE International

Computer Engineering Conference, Cairo, EGYPT December 29-30, pp, 175 - 180, 2015

42. Ahmed Ibrahem Hafez, Aboul Ella Hassanien, Hossam M. Zawbaa, E. Emary Hybrid

monkey algorithm with krill herd algorithm optimization for feature selection, 11th IEEE

International Computer Engineering Conference, Cairo, EGYPT December 29-30, pp. 273

– 277, 2015

43. Mona A. S. Alim Gehad Ismail Sayed ; Tarek Gaber ; Aboul Ella Hassanien ; Vaclav

Snasel ; Lincoln F. Silva Detection of breast abnormalities of thermos-grams based on a

Page 80: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

79 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

new segmentation method, Federated Conference on Computer Science and Information

Systems (FedCSIS), pp. 255 – 261, 13-16 Sept. 2015

44. Hamdi A. Mahmoud, Hagar M. El Hadad; Farid Ali Mousa ; Aboul Ella Hassanien Cattle

classifications system using Fuzzy K- Nearest Neighbor Classifier, 2015 International

Conference on Informatics, Electronics & Vision (ICIEV), 15-18 June 2015, Fukuoka,

J\pan, pp.1-5, 2015

45. E. Emary, Hossam M. Zawbaa, Waleed Yamany, Aboul Ella Hassanien Hybrid flower

pollination algorithm with rough sets for feature selection, 11th IEEE International

Computer Engineering Conference, Cairo, EGYPT December 29-30, pp. 278 - 283,2015

46. Waleed Yamany, Mohammed Fawzy, Alaa Tharwat, Aboul Ella Hassanien Moth-Flame

Optimization for Training Multi-layer Perceptrons, 11th IEEE International Computer

Engineering Conference, Cairo, EGYPT December 29-30, pp. 267 – 272, 2015

47. Khaled Ahmed, Ahmed Ibrahem Hafez and Aboul Ella Hassanien A Discrete Krill Herd

Optimization Algorithm For Community Detection, 11th IEEE International Computer

Engineering Conference, Cairo, EGYPT December 29-30, pp. 297 - 302, 2015

48. Gehad Ismail Sayed, Mona Abdelbaset Ali, Tarek Gaber, Aboul Ella Hassanien and Vaclav

Snasel A Hybrid Segmentation Approach Based on Neutrosophic Sets and Modified

Watershed: A Case of Abdominal CT Liver Parenchyma, 11th IEEE International

Computer Engineering Conference, Cairo, EGYPT December 29-30, pp. 144 – 149, 2015

49. Gehad Ismail Sayed and Aboul Ella Hassanien Interphase Cells Removal from Metaphase

Chromosome Images based on Meta-Heuristic Grey Wolf Optimizer, 11th IEEE

International Computer Engineering Conference, Cairo, EGYPT December 29-30, pp. 261

– 266, 2015

50. Gehad Hassan, Aboul Ella Hassanien, Nashwa El-bendary and Ali Fahmy Blood vessel

segmentation approach for extracting the vasculature on retinal fundus images using particle

swarm optimization, 11th IEEE International Computer Engineering Conference, Cairo,

EGYPT December 29-30, pp. 290 – 296,2015

Page 81: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

80 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

51. Asmaa Hashem Sweidan, Nashwa El-Bendary, Aboul Ella Hassanien, Osman Mohammed

Hegazy, Abd El-karim Mohamed, Water Quality Classification Approach based on Bio-

inspired Gray Wolf Optimization, 7th IEEE International Conference of Soft Computing

and Pattern Recognition, Kyushu University, Fukuoka, Japan, November 13 - 15, 2015,

52. Esraa Elhariri, Nashwa El-Bendary, Aboul Ella Hassanien, Ajith Abraham, Grey Wolf

Optimization for One-Against-One Multi-class Support Vector Machines 7th IEEE

International Conference of Soft Computing and Pattern Recognition, Kyushu University,

Fukuoka, Japan, November 13 - 15, 2015,

53. Ahmed Ibrahem Hafez, Hossam M. Zawbaa, E. Emary, Hamdi A. Mahmoud, Aboul Ella

Hassanien, An innovative approach for feature selection based on chicken swarm

optimization, 7th IEEE International Conference of Soft Computing and Pattern

Recognition, Kyushu University, Fukuoka, Japan, November 13 - 15, 2015,

54. Sara Yassen, Tarek Gaber, Aboul Ella Hassanien, Integer Wavelet Transform for Thermal

Image Authentication, 7th IEEE International Conference of Soft Computing and Pattern

Recognition, Kyushu University, Fukuoka, Japan, November 13 - 15, 2015,

55. Alaa Tharwat , Hossam M. Zawbaa ; Tarek Gaber ; Aboul Ella Hassanien ; Vaclav

SnaselAutomated zebrafish-based toxicity test using Bat optimization and AdaBoost

classifier, 11th IEEE International Computer Engineering Conference, Cairo,

EGYPT December 29-30, pp. 169 – 174, 2015

56. Hossam M. Zawbaa, E. Emary, Aboul Ella Hassanien, B. PARV, A wrapper approach for

feature selection based on swarm optimization algorithm inspired from the behavior of

social-spiders, 7th IEEE International Conference of Soft Computing and Pattern

Recognition, Kyushu University, Fukuoka, Japan, November 13 - 15, 2015,

57. Rehab Mahmoud, Nashwa El-Bendary, Hoda M. O. Mokhtar, Aboul Ella Hassanien,

Similarity Measures based Recommender System for Rehabilitation of People with

Disabilities. The 1st International Conference on Advanced Intelligent Systems and

Informatics (AISI’15) , Springer. Beni Suef University, Beni Suef, Egypt during Nov. 28-

30, 2015.

Page 82: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

81 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

58. Tarek Gaber, Taras Kotyk, Nilanjan Dey, Amira Ashour, Anghel Drugarin Cornelia

Victoria, Aboul Ella Hassanienand Vaclav Snasel, Detection of Dead stained microscopic

cells based on Color Intensity and Contrast, the 1st International Conference on Advanced

Intelligent Systems and Informatics (AISI’15) , Springer. Beni Suef University, Beni Suef,

Egypt during Nov. 28-30, 2015.

59. Abdalla Mostafa, Mohamed Abd Elfattah, Ahmed Ali and Aboul Ella Hassanin Enhanced

Region Growing Segmentation For CT Liver Images, the 1st International Conference on

Advanced Intelligent Systems and Informatics (AISI’15) Springer. Beni Suef University, Beni Suef,

Egypt during Nov. 28-30, 2015.

60. Moustafa Ahmed, Ahmed Hafez, Mohamed Elwakil,Aboul Ella Hassanien and Ehab

Hassanien A Multi-Objective Genetic Algorithm for Community Detection in

Multidimensional Social Network, the 1st International Conference on Advanced Intelligent

Systems and Informatics (AISI’15) Springer. Beni Suef University, Beni Suef, Egypt during Nov.

28-30, 2015.

61. Abdelhameed Ibrahim, Tarek Gaber, Takahiko Horiuchi, Vaclav Snasel and Aboul Ella

Hassanien Human Thermal Face Extraction Based on SuperPixel Technique , the 1st

International Conference on Advanced Intelligent Systems and Informatics (AISI’15) Springer.

Beni Suef University, Beni Suef, Egypt during Nov. 28-30, 2015.

62. Shichen Zhang, Fei Hu1, Shang-Ling Jui1, Aboul Ella Hassanien, and Kai Xiao

Unsupervised Brain MRI Tumor Segmentation with Deformation-Based Feature, the 1st

International Conference on Advanced Intelligent Systems and Informatics (AISI’15) Springer. Beni

Suef University, Beni Suef, Egypt during Nov. 28-30, 2015.

63. Gehad Ismail Sayed and Aboul Ella Hassanien Adaptive particle swarm optimization

approach for CT Liver Parenchyma segmentation, the 1st International Conference on

Advanced Intelligent Systems and Informatics (AISI’15) Springer. Beni Suef University, Beni Suef,

Egypt during Nov. 28-30, 2015.

64. Asmaa Hashem Sweidan, Nashwa El-Bendary, Aboul Ella Hassanien, Abd El-Karim

Mohamed and Osman Hegazy Grey wolf optimizer and case-based reasoning model for

Page 83: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

82 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

water quality assessment, the 1st International Conference on Advanced Intelligent Systems and

Informatics (AISI’15) Springer. Beni Suef University, Beni Suef, Egypt during Nov. 28-30, 2015.

65. Waleed Yamany, Eid Emary and Aboul Ella Hassanien New Rough Set Attribute

Reduction Algorithm based on Grey Wolf Optimization, the 1st International Conference on

Advanced Intelligent Systems and Informatics (AISI’15) Springer. Beni Suef University, Beni Suef,

Egypt during Nov. 28-30, 2015.

66. M. Abdelazeem, E Emary and Aboul Ella Hassanien A hybrid Bat-regularized Kaczmarz

Algorithm to Solve Ill-posed Geomagnetic Inverse Problem, the 1st International Conference

on Advanced Intelligent Systems and Informatics (AISI’15) Springer. Beni Suef University, Beni

Suef, Egypt during Nov. 28-30, 2015.

67. Mohamed Mostafa Fouad, Hossam M. Zawbaa, Tarek Gaber, Vaclav Snasel and Aboul

Ella Hassanien A Fish Detection Approach Based on BAT Algorithm, the 1st International

Conference on Advanced Intelligent Systems and Informatics (AISI’15) Springer. Beni Suef

University, Beni Suef, Egypt during Nov. 28-30, 2015.

68. Esraa Elhariri, Nashwa El-Bendary and Aboul Ella Hassanien, A Hybrid Classification Model

for EMG signals using Grey Wolf Optimizer, the 1st International Conference on Advanced

Intelligent Systems and Informatics (AISI’15) Springer. Beni Suef University, Beni Suef, Egypt

during Nov. 28-30, 2015.

69. Alaa Tharwat, Hani Mahdi, Adel El Hennawy, Aboul Ella Hassanien Face Sketch Synthesis and

Recognition Based on Linear Regression Transformation and Multi-Classifier Technique the 1st

International Conference on Advanced Intelligent Systems and Informatics (AISI’15) Springer. Beni

Suef University, Beni Suef, Egypt during Nov. 28-30, 2015.

Page 84: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

83 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

70. Tarek Gaber, Alaa Tharwat, Vaclav Snasel, Aboul Ella Hassanien Plant Identification: Two

Dimensional-Based Vs. One Dimensional-Based Feature Extraction Methods, 10th International

Conference on Soft Computing Models in Industrial and Environmental Applications Volume 368 of

the series Advances in Intelligent Systems and Computing pp 375-385, 2015

71. Mai Nadi, Nashwa El-Bendary, Aboul ella hassanien, Tai-Hoon Kim Falling Detection System

based on Machine Learning AITA2015 (2015 4th IEEE International Conference on Advanced

Information Technology and Sensor Application (AITS 2015)

72. Tarek Gaber, Alaa Tharwat, Abdelhameed Ibrahim, Vaclav Snasel, Aboul Ella Hassanien Human

Thermal Face Recognition Based on Random Linear Oracle (RLO) Ensembles, 2015 IEEE

International Conference on Intelligent Networking and Collaborative Systems, 2-4 September

2015, Taipei, Taiwan pp. 91-98, 2015.

73. Shaimaa Ahmed, Tarek Gaber, Alaa Tharwat, Aboul Ella Hassanien, and Vaclav Snasel, Muzzle-

based Cattle Identification using Speed up Robust Feature Approach, 2015 IEEE International

Conference on Intelligent Networking and Collaborative Systems, 2-4 September 2015, Taipei,

Taiwan pp. 99-104, 2015.

74. Abdalla Mostafaa, Ahmed Fouadb, Mohamed Abd Elfattahc , Aboul Ella Hassaniend, Hesham

Hefnya , Shao Ying Zhue , Gerald Schaefe, CT Liver Segmentation using Artificial Bee Colony

Optimisation, 19th International Conference on Knowledge Based and Intelligent Information and

Engineering Systems, Procedia Computer Science 60 ( 2015 ) 1622 – 1630

75. Abdalla Mostafa, Mohamed Abd Elfattah, Ahmed Fouad, Aboul ella Hassanien, Tai-Hoon Kim

Region Growing Segmentation with Iterative K-means For CT Liver Images by , (2015 4th IEEE

International Conference on Advanced Information Technology and Sensor Application (AITS

2015), pp. 88 – 91, 2015.

76. F. Eid, aboul ella Hassanien, Tai-hoon kim Leaf plant identification system based on hidden nave ,

(2015 4th IEEE International Conference on Advanced Information Technology and Sensor

Application (AITS 2015)

77. Moustafa Zein, Ammar Adl, Aboul ella hassanien, Tai-Hoon Kim, Friendship classification from

Psychological theories to computational model, 2015 Fourth IEEE International Conference on

Information Technology and Computer Science (ITCS 2015) 8-11 July 2015 in Kota Kinabalu, Kota

Kinabalu, Malaysia

Page 85: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

84 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

78. Fatma Ismail, Eslam Ali Hassan, Aboul ella hassanien, Tai-Hoon Kim Blog Clustering with

Committee Approach, 2015 Fourth IEEE International Conference on Information Technology and

Computer Science (ITCS 2015) 8-11 July 2015 in Kota Kinabalu, Kota Kinabalu, Malaysia

79. Gehad Ismail, Moan Ali, Aboul ella hassanien, Tai-Hoon Kim Automatic Mitosis Detection and

Counting Approach for Breast Cancer Histopathology Slide Imaging using Neutrosophic Set, 2015

Fourth IEEE International Conference on Information Technology and Computer Science (ITCS

2015) 8-11 July 2015 in Kota Kinabalu, Kota Kinabalu, Malaysia

80. Heba AllaEdin, Mohamed Abd Elfattah, Olfat Shaker, Aboul ella Hassanien, Tai-Hoon Kim Case-

based Retrieval Approach of Clinical Breast Cancer Patients, CIA 2015 (2015 3rd IEEE

International Conference on Computer, Information and Application (CIA 2015), 21-23 May 2015

in Yeosoo, Yeosoo, South Korea

81. Moataz Kilany, Ammar Adl, Aboul ella hassanien, Tai-Hoon Kim Towards a Computational

Human Behavioral Model, CIA 2015 (2015 3rd IEEE International Conference on Computer,

Information and Application (CIA 2015), 21-23 May 2015 in Yeosoo, Yeosoo, South Korea)

82. Moustafa Zein, Ammar Adl, Amr Badr, Aboul ella Hassanien, Tai-Hoon Kim A Social

Relationship Modifiers Modeller, CIA 2015 (2015 3rd IEEE International Conference on Computer,

Information and Application (CIA 2015), 21-23 May 2015 in Yeosoo, Yeosoo, South Korea, pp. 33

– 37, 2015.

83. Moustafa Zein. Aboul Ella Hassanien, Amr Badr, Tai-Hoon Kim Human activity classification

approach on Smartphone using Monkey search algorithm. 2015 Seventh IEEE international

Conference on Advanced Communication and Networking (ACN 2015). 8-11 July 2015 in Kota

Kinabalu, Kota Kinabalu, Malaysia

84. Ahmed M. Anter, Aboul Ella Hassanien, Mohamed Abu ElSoud, Tai-Hoon Kim. Feature selection

approach based on social spider algorithm: Case study on Abdominal CT liver tumor, 2015 Seventh

IEEE International Conference on Advanced Communication and Networking (ACN 2015). 8-11

July 2015 in Kota Kinabalu, Kota Kinabalu, Malaysia

85. Waleed Yamany, Tarek Gaber Aboul Ella Hassanien and Tai-Hoon Kim, An innovative approach for

attribute reduction based on a new initialization of Cuckoo Search Algorithm, 2015 Fourth IEEE

International Conference on Sensor and Its Applications (SIA 2015). 9-11 July 2015 in Oakland

University, Michigan, USA

Page 86: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

85 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

86. Gehad Ismail Sayed, Aboul Ella Hassanien and Tai-Hoon Kim, Fuzzy C-means and Grey Wolf

Optimizer for Abdominal CT Liver Parenchyma Segmentation, 2015 Fourth IEEE International

Conference on Sensor and Its Applications (SIA 2015). 9-11 July 2015 in Oakland University,

Michigan, USA

87. Mona A. S. Ali, M.I Shaalan, Aboul Ella Hassanien and Tai-Hoon Kim, A Simple Approach for

Segmentation and Removal of Interphase Cells from Chromosome Images, 2015 Fourth IEEE

International Conference on Sensor and Its Applications (SIA 2015). 9-11 July 2015 in Oakland

University, Michigan, USA

88. Alaa Tharwat, Abdelhameed Ibrahim, Aboul Ella Hassanien, Gerald Schaefer: Ear Recognition

Using Block-Based Principal Component Analysis and Decision Fusion. 6th International

Conference Pattern Recognition and Machine Intelligence - PReMI 2015, Warsaw, Poland, June 30

- July 3, 2015, pp,246-254

89. Eid Emary, Hossam M. Zawbaa, Kareem Kamal A. Ghany, Aboul Ella Hassanien, Bazil Pârv: Firefly

Optimization Algorithm for Feature Selection. Proceedings of the 7th Balkan Conference on

Informatics BCI 2015: 26

90. Fatma Yakoub, Moustafa Zein, Khaled Yasser, Ammar Adl and Aboul Ella Hassanien Predicting

Personality Traits and Social Context Based on Mining the Smartphones SMS Data, Proceedings of

the Second Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2015, pp.

511-521, June 29 - July 1, 2015, Ostrava, Czech Republic, 2015

91. Mahir M. Sharif, Alaa Tharwat, Aboul Ella Hassanien and Hesham A. H efeny Automated Enzyme

Function Classification Based on Pairwise Sequence Alignment Technique, Proceedings of the

Second Euro-China Conference on Intelligent Data Analysis and Applications (Springer), ECC 2015,

pp. 449-510, June 29 - July 1, 2015, Ostrava, Czech Republic, 2015.

92. Asmaa Hashem Sweidan, Nashwa El-Bendary, Osman Mohammed Hegazy, Aboul Ella Hassanien,

and Vaclav Snasel Water Pollution Detection System based on Fish Gills as a Biomarker, the

International Conference on Communication, Management and Information Technology

(ICCMIT2015), Journal of Procedia Computer Science by ELSEVIER, 2015

93. Gehad Hassan, Nashwa El-Bendary, Aboul Ella Hassanien, Ali Fahmy, Abullah M.Shoeb and Vaclav

Snasel Retinal blood vessel segmentation approach based on mathematical morphology, the

Page 87: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

86 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

International Conference on Communication, Management and Information Technology

(ICCMIT2015), Journal of Procedia Computer Science by ELSEVIER, 2015

94. Esraa Elhariri, Nashwa El-Bendary, Aboul Ella Hassanienc, and Vaclav Snasel An Assistive Object

Recognition System for Enhancing Seniors Quality of Life, the International Conference on

Communication, Management and Information Technology (ICCMIT2015), Journal of Procedia

Computer Science by ELSEVIER, 2015

95. Moustafa Zein, Fatma Yakouba, Ammar Adlb, Aboul Ella Hassanien, Vaclav Snasel Identifying

Circles of Relations from Smartphone Photo Gallery, the International Conference on

Communication, Management and Information Technology (ICCMIT2015), Journal of Procedia

Computer Science by ELSEVIER, 2015

96. E.Emary, Waleed Yamany,Aboul Ella Hassanien and Vaclav Snasel Multi-Objective Gray-Wolf

Optimization for Attribute Reduction, the International Conference on Communication,

Management and Information Technology (ICCMIT2015), Journal of Procedia Computer Science by

ELSEVIER, 2015

97. Alaa Tharwat, Tarek Gaber, Mohamed Mostaf Fouad, Vaclav Snasel, Aboul Ella Hassanien Towards

an Automated Zebrafish-based Toxicity Test Model Using Machine Learning, the International

Conference on Communication, Management and Information Technology (ICCMIT2015), Journal

of Procedia Computer Science by ELSEVIER, 2015

98. Taras Kotyk, Sayan Chakraborty, Nilanjan Dey, Tarek Gaber, Aboul Ella Hassanien, Vaclav Snasel

Semi-automated system for Cup to Disc measurement for Diagnosing Glaucoma using

Classification Paradigm, Second International Afro-European Conference for Industrial

Advancement, September 9-11, 2015, Villejuif, France

99. Mohamed Mostafa Fouad, Vaclav Snasel and Aboul Ella Hassanien An Adaptive PSO-based Sink

Node Localization Approach for Wireless Sensor Networks, Second International Afro-European

Conference for Industrial Advancement, September 9-11, 2015, Villejuif, France

100. Rehab Mahmoud, Nashwa El-Bendary, Hoda M.O. Mokhtar, Aboul Ella Hassanien and Hala

A. Shaheen Machine Learning-Based Measurement System for Spinal Cord Injuries Rehabilitation

Length of Stay , Proceedings of the Second Euro-China Conference on Intelligent Data Analysis and

Applications, ECC 2015, pp. 523-534, June 29 - July 1, 2015, Ostrava, Czech Republic, 2015

Page 88: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

87 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

101. Reham Gharbia, Ali Hassan El Baz, Aboul Ella Hassanien and Vaclav Snasel Region-based

Image Fusion Approach of Panchromatic and Multi-spectral Images, Proceedings of the Second

Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2015, pp. 535-545,

June 29 - July 1, 2015, Ostrava, Czech Republic, 2015

102. Asmaa Hashem Sweidan, Nashwa El-Bendary, Osman Mohammed Hegazy and Aboul Ella

Hassanien Biomarker-Based Water Pollution Assessment System Using Case-Based Reasoning ,

Proceedings of the Second Euro-China Conference on Intelligent Data Analysis and Applications,

ECC 2015, pp. 547-557, June 29 - July 1, 2015, Ostrava, Czech Republic, 2015

103. Alaa Tharwat, Tarek Gaber, Aboul Ella Hassanien, M. K. Shahin, Basma Refaat SIFT-

Based Arabic Sign Language Recognition System, Afro-European Conference for Industrial

Advancement Advances in Intelligent Systems and Computing Volume 334, pp 359-370,

2015.

104. Zhengqiong Zhu; Zongmei Wang; Tiancheng Li; Xingyu Wang; Hongbo

Liu;Hassanien, A.E.; Wanqing Yang, Multi-knowledge extraction algorithm using Group

Search Optimization for brain dataset analysis 2015 2nd International Conference on

Computing for Sustainable Global Development (INDIACom) 11-13 March, pp. 1891 –

1896, 2015

105. E. Emary, Hossam M. Zawbaa, Crina Grosan, Aboul Ella Hassenian, Feature

Subset Selection Approach by Gray-Wolf Optimization, Afro-European Conference for

Industrial Advancement Advances in Intelligent Systems and Computing Volume 334, pp

1-13, 2015.

Page 89: Scientific Research Group in Egypt (SRGE)scholar.cu.edu.eg/?q=abo/files/annual_report_of_scientific_research... · Scientific Research Group in Egypt (SRGE) Annual Report January,

88 | SRGE Annual Report 2016

Prof. Dr. Aboul Ella Hassanien ©SRGE2016 – www.egyptscience.net

العلمية المصرية البحثيةالمجموعة Scientific Research Group in Egypt

www.egyptscience.net