TERJE AVEN, UNIVERSITY OF STAVANGER, NORWAY Terje Aven is professor of Risk Analysis and Risk Management at the University of Stavanger (UiS) (1992-). He is a Principle Researcher at the International Research Institute of Stavanger (IRIS). He has participated in and led a large number of risk and safety related projects. His research covers foundational issues in risk analysis, risk analysis methods, reliability theory and maintenance optimisation, decision support tools, risk acceptance and risk management.

"New perspectives on how to understand and describe risk" In this talk some recent advances in the risk field are presented and discussed, linked to the conceptualisation of risk and specifically addressing unforeseen events, surprises and so-called black swans. It is shown how the traditional probability-based perspectives on risk are extended to broader ways of thinking about risk which give due attention to the uncertainties and also draw on ideas from inter alia the quality discourse and organisational learning (collective mindfulness and its five characteristics: preoccupation with failure, reluctance to simplify, sensitivity to operations, commitment to resilience and deference to expertise). The main aims of the paper are to point to this thinking and provide some reflections on how to use it for further developing the risk assessment and risk management fields.

LYNNE BILSTON, NEUROSCIENCE RESEARCH AUSTRALIA & UNIVERSITY OF NEW SOUTH WALES, AUSTRALIA Senior Principal Research Fellow at Neuroscience Research Australia and Professor in UNSW Medicine, she is leading research on biomechanics of the nervous system - brain and spinal cord, and also other soft organs and muscles. Basic research includes developing novel imaging methods for understanding mechanical properties of body tissues, models of spinal cord injury, and sleep apnoea biomechanics. Her research includes studying injuries in car crashes, particularly to children and rear seat occupants. She is a member of the World

Council of Biomechanics. "Understanding the nervous system: Complex biological and biomechanical interactions at different scales using experiments and modeling" Understanding how neural tissues respond to physiological and pathological loads requires an understanding of the structure, function, and physiology at many different length scales, from the whole organism, to individual tissues and cells, down to the molecular level. A broad range of interdisciplinary approaches are required to make measurements and model the system at each of the relevant lenth scales. Engineers who are experts at making mechanical measurements and/or modelling at the macro or micro-scale must collaborate with basic scientists in order to characterise the intrinsic behaviour of neural tissues, and also how the neural tissues respond functionally to mechanical loading. Also, understanding, and developing treatments for, neurological disorders with a mechanical component relies on high level interactions between researchers and clinicians. Examples of how multidisciplinary approaches, with ongoing interaction between clinicians, engineers and basic scientists ranging from physics to neurophysiology, can work very effectively to understand a range of mechanically mediated neurological disorders will be given.

FRANCISCO CHINESTA, ECOLE CENTRALE DE NANTES, FRANCE Francisco Chinesta, born in 1966 in Valencia (Spain), is currently Professor of Computational Mechanics at the Ecole Centrale of Nantes (France), titular from 2008 to 2012 of the EADS Corporate Foundation International Chair on Advanced Modeling of Composites Manufacturing Processes and titular from 2013 of the ESI International Chair on Advanced Simulation Strategies. He is also associate member of the polymers group at the department of chemical engineering and biotechnology at the University of Cambridge as well as associate member of the University of Wales Institute of Non-Newtonian Fluid Mechanics. In 2011 he was

nominated senior member of the “Institut Universitaire de France” – IUF – "Computational Vademecums for real time simulation, optimization and control of structures, materials and processes" In this talk we are addressing a new paradigm in the field of simulation-based engineering sciences (SBES) to face the challenges posed by current ICT technologies. Despite the impressive progress attained by simulation capabilities and techniques, some challenging problems remain today intractable. These problems, that are common to many branches of science and engineering, are of different nature. Among them, we can cite those related to high-dimensional problems, which do not admit mesh-based approaches due to the exponential increase of degrees of freedom. We developed in recent years a novel technique, called Proper Generalized Decomposition (PGD). It is based on the assumption of a separated form of the unknown field and it has demonstrated its capabilities in dealing with high-dimensional problems overcoming the strong limitations of classical approaches. But the main opportunity given by this technique is that it allows for a completely new approach for classic problems, not necessarily high dimensional. Many challenging problems can be efficiently cast into a multidimensional framework and this opens new possibilities to solve old and new problems with strategies not envisioned until now. For instance, parameters in a model can be set as additional extra-coordinates of the model. In a PGD framework, the resulting model is solved once for life, in order to obtain a general solution that includes all the solutions for every possible value of the parameters, that is, a sort of “computational vademecum”. Under this rationale, optimization of complex problems, uncertainty quantification, simulation-based control and real-time simulation are now at hand, even in highly complex scenarios, by combining an off-line stage in which the general PGD solution, the vademecum, is computed, and an on-line phase in which, even on deployed, handheld, platforms such as smartphones or tablets, real-time response is obtained as a result of our queries.

SERGE FDIDA, UPMC/Sorbonne Universités Serge FDIDA is a Professor at University Pierre & Marie Curie since 1995. He is/was leading or involved in many research projects in High Performance Networking in France and Europe, and was/is the coordinator of WIP (IST FP6 - An All Wireless Mobile Network Architecture), ONELAB, ONELAB2 and OPENLAB (IST FP6&7 - An Open Laboratory Supporting Network Research Across Heterogeneous Environments). Currently, he is also leading the Equipex FIT, laureate of a national stimulus funding competition, developing a large-

scale testbed on the Future Internet of Things. Serge Fdida has also developed an experience related to innovation and industry transfer. He was the Director of EURONETLAB, a joint laboratory established in 2001, between Academia and Industry, developing collaborative research on the wireless Internet. He is also a co-founder of the Qosmos Company. From 2000 to December 2005, he was appointed scientific adviser with CNRS-STIC (French National Scientific Research Center / Information Science & Technology). In addition, he was also the Vice-President of the RNRT (French national Research Network in Telecommunications), involving the industrial, academic and government actors in France. He has been Vice-President in charge of International Affairs at UPMC from 9/2011 to 12/2011 and is now VP Europe since 4/2012. Serge Fdida holds the “Palmes Académiques” Award. He is a senior member of IEEE and a Distinguished ACM Member.

"Federating experimental system platforms as a playground for the future Internet" Experimentally driven research is an important approach to assess original design for the Internet. Many initiatives have emerged to better organize the various contributions, testbeds and tools (GENI, FIRE). The solutions developed in these contexts have matured and are in a situation where researchers can go beyond sharing best practices, federating diverse technologies and communities. The concept of federation is central to address the complexity of a polymorphic Internet (and associated testbeds) and federation standards and policies should be defined at different layers of the network architecture in order to ensure interoperability and maximum connectivity of users and services. This talk will present the latest development in the context of testbed federation. It will highlight a potential candidate for a federation architecture, its main requirements and tools. We will cover issues related to API, authentication, resource description, reservation and policies. The talk will be illustrated with use cases enabled thanks to the newly available federation capabilities.

JEAN-LUC GARNIER, THALES RESEARCH AND TECHNOLOGY, FRANCE Systems Engineering and Architecting Director within the Thales Technical Directorate. His domain of expertise is real-time distributed systems. He has an engineer degree in computer science from INSA (French Institute of Applied Science). From 1984 to 1999, he had been software engineer and expert in consulting companies, mainly in compilers, operating systems and real-time telecoms developments. He joined Thales in 2000 as system architect, successively in Integrated Modular Avionics, Electronic Warfare and Network

Centric Warfare. He teaches System Architecting at the Thales University and in the Master program in Design & Management of Complex Information Systems (COMASIC) of The French Ecole Polytechnique. He is also chairman of the 3S-AI (System of System and Service - Architecting and Engineering) Technical Committee of AFIS (French Chapter of INCOSE). "Added value of the Architecture Frameworks for development of Systems-of-systems" A set of terms and concepts related to the Systems-of-Systems (SoS) is now mostly agreed, mainly based on Maier criteria. With this characterization, a lot of SoS can be identified in all domains: transportation, telecoms, defense, etc. Today some efforts are done to provide SoS classifications and to define the challenges to master SoS. But very few reference documents explain how SoS can be engineered and operated. The architecture Frameworks (AF) contribute to define and evaluate the fundamental concepts or properties of Systems-of-Systems in their environment embodied in their elements, relationships, and in the principles governing their design and evolution all along their life cycles. These frameworks are generally defined for particular concerns: methods to put in place an architecture reference system, architecting methods, formalisms and sometime languages. AF added values are description and evaluation with separation of concerns (viewpoints, perspectives, aspects) with standardized formalisms. But these AF are currently poorly defined to interoperate and most of them do not address major aspect of the systems and SoS: for examples, physical description, security, safety and human factors.

MICHAEL HENSHAW, LOUGHBOROUGH UNIVERSITY, UK Professor of Systems Engineering and leads the Engineering Systems of Systems (EsoS) Research Group. He is also head of the Systems Division at Loughborough University. Graduated in applied physics, and his early research focused on laser-plasma interactions, using computational fluid dynamics to investigate various phenomena in applications such as X-ray lasers. He joined British Aerospace (later BAE Systems) as an aerodynamicist and worked for seventeen years in aeronautical engineering tackling problems associated with unsteady aerodynamics (computational and experimental) and, later, multi-

disciplinary integration.He was appointed to a chair in Systems Engineering at Loughborough in 2006 to direct the large multi-university, multi-disciplinary programme, NECTISE, that ran from Nov 2005 – April 2009 (EPSRC and BAE Systems to research NEC).

"Systems of Systems Research Priority: Theory and Characterisation" The T-AREA-SoS support action in FP7 has provided a research agenda for systems of systems (SoS) engineering that should form the basis for future European research of this topic. The agenda comprises twelve main themes for research, two of which address fundamental understanding of the SoS concept. After a brief introduction to the twelve themes and the key questions that must be addressed in each, the presentation will focus on two themes: theoretical foundations and characterisation of SoS. Starting with the need for meaningful systems identification, the presentation will look at the distinguishing features and classification of different types of systems of systems and gauge the extent to which general principles may be applicable. The multi-disciplinary nature of SoS engineering will be considered and the concomitant discipline-based viewpoints of SoS will be examined. Finally, the key research questions that these themes imply will be elaborated.

MO JAMSHIDI, UNIVERSITY OF TEXAS, SAN ANTONIO, USA Fellow of 7 academies and professional societies, he is Lutcher Brown Endowed Chaired Professor of the University of Texas Systems, working at the University of Texas, San Antonio, TX, USA. and member of the International Scientific Committee of the Labex MS2T. He is a world-leading researcher in large-scale systems, System of systems, Computational intelligence and Mobile robotics. "Modeling and Simulation of System of Systems via Data Analytics – Case for “Big Data” in SoS"

Large data has been accumulating in all aspects of our lives for quite some time. Advances in sensor technology, the Internet, wireless communication, and inexpensive memory have all contributed to an explosion of “Big Data”. System of Systems (SoS) are integration of independent operatable and non-homogeneous legacy systems to achieve a higher goal than the sum of the parts. Today’s SoS are also contributing to the existence of unmanageable “Big Data”. Recent efforts have developed promising approach, called “Data Analytics”, which uses statistical and soft computing (SC) tools such as principal component analysis (PCA), clustering, fuzzy logic, neuro-computing, evolutionary computation, Bayesian networks, etc. to reduce the size of “Big Data” to a manageable size and apply these tools to a) extract information, b) build a knowledge base using the derived data, and c) eventually develop a non-parametric model for the “Big Data”. This keynote attempts to construct a bridge between SoS and Data Analytics to develop reliable models for such systems. A photovoltaic energy forecasting problem of a micro grid SoS will be offered here for a case study of this modeling relation. A consortium of tools from soft computing and statistics: PCA, Clustering, Data Mining, Pattern Recognition via Fuzzy Logic, Neuro-computing, and Post-Processing via Evolutionary Computations are used to extract a nonlinear MODEL for a SoS-generated BIG DATA.

DOMINIQUE LUZEAUX, DGA, MINISTRY OF DEFENSE, FRANCE Director of Land Systems acquisition at Direction Générale de l'Armement, French Defense Ministry, Chairman of AFIS (acting French chapter of INCOSE). He was formerly Director of the Center for Information Systems, in charge of providing IT infrastructure and services. In the past he has also been leading programs dealing with simulation-based acquisition and system engineering tools & techniques. He has been Research Fellow at the University of California at Berkely, and graduated from Ecole Polytechnique and ENSTA. He holds a PhD degree and an habilitation thesis, teaches robotics and systems engineering at

graduate level, and is the author of several books on system-of-systems engineering. "Systems-of-systems and large-scale complex systems engineering" In the last decades, the systems designed in the following domains (banking, health, transportation, space, aeronautics, defense…) have been increasingly larger. With the growing maturity of information and communication technologies, systems have been interconnected within growing networks,

yielding new services through combination of the system functionalities. This leads to an increasing complexity that has to be managed in order to take advantage of these system integrations. We introduce systems-of-systems (SoS) with illustrations from various applicative domains, and discuss the challenges arising in the engineering of such large-scale complex systems. These include business and technical issues, such as new partnerships between contractors and suppliers, technical architecture frame guidelines, simulation intensive model-based engineering… After several illustrations from various applicative domains, we discuss the specific system engineering issues, the necessary methods and tools, and conclude with the trends in systems-of-systems engineering. References § “Systèmes de systèmes : concepts et illustrations pratiques”, (coauthor J.-R. Ruault), June 2008,

Editions Lavoisier Hermes Science; § “Ingénierie des systèmes de systèmes : méthodes et outils”, (coauthor J.-R. Ruault), June 2008,

Editions Lavoisier Hermes Science; § “Systems of systems: concepts, illustrations, standards and methods”, (coauthor J.-R. Ruault),

February 2010, Wiley; § “Simulation et modélisation des systèmes de systèmes : vers la maîtrise de la complexité”,

(coauthor P. Cantot), November 2009, Editions Lavoisier Hermes Science ; § “Simulation and modeling of systems of system”, (coauthor P. Cantot), May 2011, Wiley; § “Maîtrise de l’ingénierie des systèmes complexes et des systèmes de systèmes”, (coauthor J.-R.

Ruault, J.-L. Wippler), May 2011, Editions Lavoisier Hermes Science; § “Complex systems and system-of-systems engineering”, (coauthor J.-R. Ruault, J.-L. Wippler),

November 2011, Wiley; § “100 questions pour comprendre et agir : l’ingénierie des systèmes”, (coauthor J.-R. Ruault), April

2013, Editions AFNOR.

CARLOS MORENO, GDF SUEZ, FRANCE Carlos Moreno was born in Colombia in 1959 and moved to France at the age of 20. He is a Senior University Professor and Scientific Advisor to the Chief Executive Officer of COFELY INEO, a subsidiary of GDF SUEZ, and a Chevalier de la Légion d’honneur. This scientist and humanist describes his exceptional career as a path guided through and through by passion: a passion not only for innovation, creativity and exploration but also one for sharing, connecting, and building ties with others. A journey on which he has explored a variety of disciplines and fields in a wide range of

spheres – teaching, research, business and industry – strong in his conviction that innovation springs from interaction among them. "A complex systems approach to live in a living city" Our world is undergoing profound changes: the population explosion, urban concentration, the development of mega-cities across the world, disruption in the balance of economic power, the emergence of new global superpowers, with a power swing from the north-west to the east-south axis… The fundamental contributions of the digital revolution must thus be integrated into a broader vision of the world that takes into account continuously changing uses and services – a world which remains, by definition, unpredictable as a whole. The science of complexity surpasses computational determinism by transforming our way of addressing these issues. Its relevance is even more evident when it comes to understanding day-to-day life in cities. The complexity approach implies moving beyond objects and systems and focussing first and foremost on their interactions. In order to understand the profound reality of such phenomena of everyday life as varied as earthquakes, population movements, market fluctuations, energy supplies, transportation etc. it is therefore necessary to study and understand interactions, interconnections and networks between the

various entities. Their configuration, reconfiguration, topology, dynamics and temporality are the expression of their behaviour in everyday life. Thus digital culture cannot be reduced to a computational exercise or to the virtualisation of the world through algorithmic power – in the same way that the culture of innovation cannot be reduced to the development of a new process or a technological object, whatever their power. The creation of these new uses involves implementing service platforms, powerful tools at the interface of the physical, digital and social worlds that allow us to pool information and thereby rethink new functionalities while embodying them.

PETER RUTHERFORD, BAXTER HEALTHCARE SA, SWITZERLAND Senior Lecturer in Nephrology at the University of Wales College of Medicine from 1996 and Medical Director for North East Wales NHS Trust in Wrexham from 2002. He worked part time for the National Institute of Health and Clinical Excellence (NICE) from 2002, within the clinical guidelines program. Since 2007 he has been Medical Director (Renal) for Europe, Middle East and Africa for Baxter Healthcare SA, based in Zurich. He is a visiting Professor in the Faculty of Healthcare and Fellow at Glyndwr University in Wales, UK.

“Systems and innovations in healthcare – simplicity from complexity” Modern healthcare needs to meet the varying needs of people across the world - from the complex needs of the ageing population with rising comorbidity in the emerged world to the access to provision of cost effective care for the emerging world. New technological innovations and pharmaceutical developments need to meet these needs as well as addressing all safety standards and regulatory approvals. The systems approach to healthcare innovation will be explored from an industrial perspective to examine:

(1) Systems modeling – defining patient needs by understanding population changes and healthcare organisations

(2) Systems biology – using new approaches to determine risk based biomarkers for disease progression and identification of potential target molecules

(3) Systems for safe design and manufacturing – implementation of risk based approaches to innovative product design and manufacturing to improve patient safety

(4) Systems for the patient – technological advances can help support patients lead more functional lives at home whilst enabling healthcare professionals to monitor and intervene in care.

Systems in healthcare are complex but there is a key need to translate this complexity into simplicity when it comes to point of delivery – that is the challenge to R and D!

OLIVIER SIMONIN, INSA de Lyon, Laboratory CITI-Inria Professor at INSA de Lyon, at CITI (Centre of Innovation in Telecommunications and Integration of service). From 2002 to 2006 he was an Associate Professor of Computer Science at UTBM "Université de Technologie de Belfort-Montbeliard" (France) and a member of the SeT laboratory (Systems and Transport) in the multiagent team (ICAP). From 2006-2013, he joined the LORIA Laboratory in Nancy as a member of the INRIA project-team MaIA (Autonomous and Intelligent Machines) and became Associate Professor at Université de Lorraine (in Nancy, ex Université Henri Poincaré UHP). His work

concerns the definition of bio-inspired algorithms for problem solving and control of swarm of robots and complex systems through spatial calculus and multi-agent simulation models. His main application domains are ambiant intelligence (intelligent habitat and assistant robots), robotics for exploration and rescue, and decision support (simulation). He is an active member of several international and national projects and in 2012 he won the French ANR Robotics challenge "Carotte" as member of the "Cartomatic" team and coordinator of Maia partner.

"Cooperative self-organization in swarm robotics and intelligent environments" In this presentation we consider complex systems composed of numerous autonomous entities that interact localy with each other and with their environment. In computer sciences and robotics they can be studied and simulated by agent-based models. We introduce different definitions and concepts, such as emergence and self-organization, common to computational, living and robotics systems. Cooperative self-organization is then illustrated in two application domains. First, we present how a group of autonomous robots can self-organize to perform complex tasks with robustness. Second, we present how such an approach can be used for robotics assistance and smart room design. In particular we present a network of intelligent tiles which is dedicated to human activity observation and interaction.

ROMAN SLOWINSKI, POZNAN UNIVERSITY OF TECHNOLOGY, POLAND Professor and Founding Head of the Laboratory of Intelligent Decision Support Systems at the Poznan University of Technology, Poland. Academician, president of the Poznan Branch of the Polish Academy of Sciences. His area of expertise includes multiple criteria decision aiding, preference learning, rough set theory and granular computing. Laureate of the EURO Gold Medal (1991), the Edgeworth-Pareto Award (1997) and the 2005 Prize of the Foundation for Polish Science. Doctor Honoris Causa of Polytech’Mons (2000), University Paris Dauphine (2001) and Technical University of Crete (2008). Since 1999, Co-

ordinating Editor of the European Journal of Operational Research. Senior Member of IEEE. "Knowledge Discovery from Vague Data using Dominance-based Rough Set Approach" Getting knowledge from massive data is nowadays a primary challenge for information processing. The goal of knowledge discovery from data describing decision situations is to help making better decisions. One of the difficulties in knowledge discovery is a vague character of data due to inconsistency. The Dominance-based Rough set Approach (DRSA) is a methodology for reasoning about vague data, which handles monotonic relationships between values of condition and decision attributes, typical for data describing decision situations. The origin of the vagueness is inconsistency due to violation of the dominance principle which requires that (assuming a positive monotonic relationship) if object x has an evaluation at least as good as object y on all condition attributes, then it should not get evaluation worse than y on all decision attributes. We show that DRSA is a natural continuation of the Pawlak’s concept of rough set, which builds on the ideas coming from Leibniz, Frege, Boole, Lukasiewicz and Zadeh. We also show that the assumption admitted by DRSA about the ordinal character of evaluations on condition and decision attributes is not a limiting factor in knowledge discovery from data. In particular, it is an obvious assumption in decision problems, like multicriteria classification or ranking, multiobjective optimization, and decision under risk and uncertainty. Moreover, even when the ordering of data seems irrelevant, the presence or the absence of a property can be represented in ordinal terms, because if two properties are related, the presence, rather than the absence, of one property should make more (or less) probable the presence of the other property. This is even more apparent when the presence or the absence of a property is graded or fuzzy, because in this case, the more credible the presence of a property, the more (or less) probable the presence of the other property. This observation leads to a straightforward hybridization of DRSA with fuzzy sets. Since the presence of properties, possibly fuzzy, is the base of information granulation, DRSA can also be seen as a general framework for granular computing. We also comment on stochastic version of DRSA, and on algebraic representations of DRSA, as well as on topology for DRSA. References [1] S. Greco, B. Matarazzo, R. Slowinski: Rough sets theory for multicriteria decision analysis.

European Journal of Operational Research, 129 (2001) 1-47. [2] S. Greco, B. Matarazzo, R. Slowinski: Dominance-based rough set approach to decision under

uncertainty and time preference. Annals of Operations Research, 176 (2010) 41-75. [3] R. Slowinski, S. Greco, B. Matarazzo: Rough Sets in Decision Making. [In]: R.A. Meyers (ed.):

Encyclopedia of Complexity and Systems Science, Springer, New York, 2009, pp. 7753-7786.

[4] W. Kotlowski, K. Dembczynski, S. Greco, R. Slowinski: Stochastic dominance-based rough set model for ordinal classification. Information Sciences, 178 (2008) 4019-4037.

[5] J. Blaszczynski, S. Greco, R. Slowinski: Inductive discovery of laws using monotonic rules. Engineering Applications of Artificial Intelligence, 25 (2012) no. 2, 284–294.

RONAN STEPHAN, ALSTOM, FRANCE Since 2012, he has been Group Chief Innovation Officer of Alstom. He has started his career un 1984 at Thomson-CSF Group, before leaving the Group in 1997 to become general director of Brest Science and Technology Park. He next ran the directorate for Industrial relations and Technology transfer at CNRS, from 2003 to 2005. In 2005, he thereafter served as Chairman of the University of Technology in Compiègne until 2009, when has been appointed as General director for Research and Innovation in the French Ministry for higher education and research.

"Multi-Scale, Distributed and Adaptive Smart Layers : Technologies and Usages" The presentation will outline the emergence of a new paradigm that will combine the networks of energy, transport and telecommunication. Data flow, arrays of distributed sensors, smart operating systems, real-time processing will be the key components of these new complex systems. In this novel environment, multi-scale network architectures, adaptive from local to global, will enable interoperability between transport, energy and information. Dynamic allocation of resources, involving an increased number of actors, which are featuring different sizes and associated behaviours, will result from real-time synchronisation. Such scenarios will require rethinking the technologies (hardware and software) and their combinations. They will undoubtly impact both the way future infrastructures will be designed and developed and also their further exploitation and maintenance. From the later, the concept of adaptive smart layers will be introduced in order to make more flexible and more efficient the energy demand and response. As a matter of course, the current economic models, the usages and the long-established balances will be impacted. This notion of energy digitalization will be the outcome of a convergence between conventional energy and transport systems, and information and communication technologies.