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YHI,IBEP3I,ITET Y HI,I IIIYnPI4POAHO-MATEMATI,IqKU OAKy/ITETBuurerpa4cxa 33HI{III
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vtSBEInTAJo npuiaBJbeHllM KaHAlrAarI'IMa Ha KOHKypc
3a rm6op ie4Hor HacTaBHlIKa y sBalbe AoIIeHTa vtilLrBaHpeAHorrpooecopa 3a yxy HayqHy o6tacr PauyruapcKe HayKe
r [0AAIII4 O KOHKyPCy, KoMktckllr4l'l KAHAI'IAATI4MA
Aaryer 114 Mecro o6iar.r";uriarba KoHKypca: rl4cr "IIocJrolk7", HaquoHa.nHe c/Iyx(6e 3a
3anorlrbaBarce Peny6rIHKe Cp6uje 6poj 818 oP27.02.20L9. ro4zue.
Epoi nacraBHnKa xoiu ce 6upa, ca Ha3HaKoM 3Balba I,I Ha3[IB yrxe Hayqne o6aacrnsa rojy ie pacnucaH KoHKypc: je4aH HacraBHHK y 3Barbe AoIIeHTa HJIH BaHpeAHor
npoQecopa 3a pKy HayqHy o6lact Pauyuapcxe HoyKe ua flenapr:MaHy 3a paqyHapcKe
HayKe IIpupo4u o-MareMarHv rco r QaryJlrera y Hutuy.
Opran u AaTyM AoHoluelba oAJIyKe o Qoprvtrpalby KoMIIcuie sa 1rp11flpeMy
nsneurraia sa us6op HacraBHr{ra: Hayvuo-crpyt{Ho sehe sa [pLIpoAHo-MareMaruqKe
HayKe Yuunepsurera y Huuiy, oAnyKa 6poiBltT-01-003/19-007 o4 08.04.2019.
Konncuia:o Ap Mrapouran tupuh, peAoBHH npoQecop llpupo4no-MareMaravror Qaxyl-
rera y Huury (yxa uayvua o6aacr: Pavyuapcxe uayxe), npeAceAHI'IK,
. Ap Mulau Tacnh, peAoBHH npoQecop [Iprapo4Ho-MareMarnvxor QaxylTera yHraury (yxa Hayvua o6aacr: PavyHapcxe Hayxe),
o Ap llpe4par Pajronuh, peAoBHH npoQecop Marunscror Qaxynreta y Huuty(yxa uayvsa o6lacr: HyrurepuvKa aHaJIIz3a 14 otlruMrasaquja)'
llpui anreHr KaHAU Aaril.o Ap Veau [I. CraHuptuponrzh
rr ElrofPAocKH rroAArlr4 o KAHAT4AATy
1. I,lue, cpeArbe cJroBo lr [pe3r{Me: HeaH ll. Crannrrruponuh
2. 3earbe: AorIeHr
3. {aryu pr Mecro poferra 27.09.L986., "Ilecxonaq
4. A4peca: Huur, Ilapuqe Mutuqe 26
5. CaAarurbe 3arocJrerbe: YHunepaurer y HHUIy, [Ipnpo4uo-MareMaruvxu Qaxy"n-rer, flenaprMaH 3a paqyHapcKe HayKe
6. Ocnonne cry4uie
6.1. fo4uHa yruca H 3aBpruerKa ocHoBHHx cryAuia: 2005, 201,0
6.2. Cry1lrjcra rpyna, Qaryarer kr yHlrBep3r,rrer, ycrex Ha ocHoBHr,rMcry4ujaua:
Cry4zjcxa rpyna sa MareMarvKy A IanQopr,rarv Ky, cMep PavyuapctBo H I4H-
Qopr'a arra rca, [Ipupo4H o-Mareu arr4qKu Qaryarer, YH zn epa urer y Hu ruy, npo-ceqHa oqeHa 9,68.
6.3. HayvHa o6aacr ocHoBHrrx cry4uiaz MareuaruqKe HayKe
7. floxropcKa Ar{ceprarlxia:
7.1, Qary.nrer, yHnBep3r,rrer r{ roArrHa o46paHe AoKTopcKe Ar,rcepraquie:llpn po4H o-M areMarHv rcra Qa xyarer, YH zn ep3aTer y Huruy, 20 1,3.
7.2. Hac,rron AoKTopcKe AlrcepraIlHje: Attzopumuu sa cuu6o"rluqKa JvrampuqHa
us p aLtyHql aba u o nmuuus aqujy.
7.3. Hay.lra o6.nacr AoKTopcKe Auceprarlnie: Pavyuapcxe HayKe
8. 3narre crpaHux iesurca: roBopI,I eHrJIecKH jesux.
9. tlpoQecuoHa,rHa opnieHraquja (o6racr, yxa o6nacr lr ycKa opnieHrarlnja):
HayqHa o6"nacm - paqyHapcKe HayKe,y lr a o 6 n a cm - cutut6o"Il Hr{ Ka I43 p ar{yH aB a rba
ycKa opujenmaquja - r,r3paqyHaBalbe reHepaJrHcarvx t4 HBep3a
Ko H craHTH r4x, p ar{H o H aJr H Hx H n o"Ir H H o M ujanuux Marp 14 rla;
HayqHa odttacm - MareMarHqKe HayKe, ..ytra odnacm - oltepaqhoHa Hcrpa]KV BaFba; MareMarzqKo nporpaMr,rpaFbe,
ycxa opujeuma\uja - BHueKprarepNjyrurcKa orrHMHsarluja u reopujaoAryqnBarba;
III KPETATbE y TTPOOECI,IOHAJIHOM PAAy
1. 0U ,,BpaHKo Pa4uuenuh" HHLn, 15.10.2010 go 31,.1,2.2010, uacraBHHK MareMa-THKC.
2. IIpHpo4Ho-MareMarHqKH Qaxy"nrer y Hutssy, 04cex 3a MareMarHKy H unQopr"ra-"r t4ry, 1,.0 2.20 17 4 o 3. 0 5. 2 0 L2, ucr paxl4 B ar{- n p H fl p aB H H K.
3. IIpHpo4Ho-MareMarHr{Kr4 Qaxy.nrer y Huury, flenaprr'rau sa PavyHapcxe HayKe,
4.05.20L2 go 31.09.20 1 3, ncrpaxuBaq-capaAHu K.
4. Oaxynrer 3a MeHaUMeHr y 3ajevapy, oA 1..L0.2013.1o 31.08.20L4., 4oqeHr 3a yxyHa) {Hy o6lact MareuaruqKe HayKe
5. Ilpnpo4Ho-MareMarzqKr4 Qaxy.rrrer y Huwy, fienapruaH sa PauyHapcKe HayKe, oA
01.09.2014. Aot{eHr 3a yxy Hayr{Hy o6aacr Pa'ryHapcxe HayKe.
6. fur,ruasuja "Cnerosap MaproBlah" y Huruy, o1,01.09.2013. npoQecop 3a rpeAMer H3
olilac"rv paqyHapcrBa y cflequjaauzoeaHoM oAeJberby 3a raJIeHToBaHe MareMa-
THr{ape n r,rHQopr,rarHqape.
IV HACTABHI{ PAA
Bex6e:
Ha IIpz po4H o-MareMarur{ KoM Q aryarery y Hu ury:
l. Yeod y npozpaJvtupalbe (ocHoeue aKaAeMcKe cty1uje Pavyuapcre HayKe, oA
1.t0.2014. 4o 3 1.08.2 0 16.)2. Cuu6ortuqKa u3paqyHaeaba focuoaHe aKaAeMcKe cry 1uje PavyHapcxe nayxe)3. )nepatquoHa ucmpil{ueatua (r',racrep aKaAeMcKe cryguje flptzuerneua Mare-
MarHKa - MoAyJr Marer'raruxa y QraHaucujava, PavyHapcre Hayl(e - MoAy/l
Paanoj coQrnepa)4. Myamuuedujattuu uuSopnatquoHu cucmerqu (r'racrep aKaAeMcKe cty4uje Pa-
r{yHapcKe HayKe - MoAyJI Vnpan.name raHQopr'laqujaua)
llpe4anama:
Ha [Ipupo4Ho-MareMaruqKoM Qarcyntety y Huuty:
L. Yeod y npoepalvlupabe [ocuonue aKaAeMcKe cry4aje PavyHapcxe HayrceJ
Z. Teopuja odnyuuearca (r'racrep aKaAeMcKe cry4uje Pavyuapcxe HayKe - MoAyJI
Yn pan.rsarre un Q opr'raqrajar"ra)
Ha @arcynrery 3a MeHaUMeHr y 3ajevapy, o4 1.1-0.20L3. to 3L.08.20t4.:
1. MameuamuKa [ocuonue aKaAeMcKe cry guie);2. [Ioc"rtoeHq cmamucmuKo (ocuonHe aKaAeMcKe crygu)e);
Ocraae HacraBHe aKTlrBHocrI,I: ''
KaH4u4ar oA uKoJrcrce 201.3/L4 roguue vsBoAu HacraBy h3 npeAMera )cuoeuuu$opuamuKe u paqyHapcmsa y cfie\viarHsosaHoM oAe/berby 3a raJIeHToBaHe MareMa-Tr4qape a zHQopvraruqape fururHaaraje "Cnetosap Maprconuh" y Huuy.
Kau4u4ar og 20t3. roAHHe aKrr.rBHo yuecreyje y npurpeMa yqeHHKa creqnjaruso-BaHrzx oAeJberba 3a raJreHToBaHe MareMaruqape 3a raKMHqeFba as nnQopMarul(e 14
MATCMATHKE.
KaH4n4ar je 6uo rpeAceAHr4x xoruucuje sa crrpoBolerre npnjelruor HcrHTa na OAC
Pavyuapcxe HayKe, nor{eBun oA rxronct<e 2017 /20L8. ro4zHe, qJIaH AHcLIHnJIHHCKerouncnje llpupo4uo-MareMarnvxor <faxyrrrera y rxK. 201,7 /20t8. ro4uutr H 3aMeHHK
rrpeAceAHHKa KoMHcHje sa cuponotleme npujeuuor Hcrrvra sa OAC Pavyuapcxe Hayxe ywrc. 2076 / 20L7 . roAHHut.
ArrusHocrlr Ha ynanpef elby HacraBe :
Yvecrnosao je y t,r3pauH rpeHyTHO Baxehl4x cty4ujcxrax nporpaMa y o6'nacru
pavyHapcrr4x HayKa H npr4rrpeMu AoKyMeHraquje 3a aKpeAztaqujy rl4x nporpaMa'
V Yq E IIIT E HA HAYTI H O. I'I CT PA}I(I4BATI KI4 M TI P O J EKTI{ MA
Ilpoiexru MHHucrapcrra o6pa3oBalba rI HayKe Peny6"nure cp6nie:
l. paseoj uemoda uspaqyHaearba u npoqecuparua uufiopua4uia: yeopuia u npuJqeHe'
(6poj 11ZaO13, Hoiunaq ltprapoAHo-MareMarIatrKI'I Qaxy'nte'r, Huur)' vcrpax,Baq'
20lt-20r9.
VI EA}IT O PCKI,{ PAA, P EIIEH3EHTCKE AKTI'IBH OCTI4
1. g"naHctBo y peAarqniarvra HayqHllx qaconnca:
1-. Facta universitatis, Ser' Ir4ath' lnf'
2. Constructive Mathematical Analysis
2. PeqenaeHTcKe aKT[BHocr[I:
l,ComputersandMathematicswithApplications(Elsevier);
2, International Journal of Production Research (Taylor and Francis);
3, International Journal of Advance in Mathematics and Mathematical sciences
(Hindawi);
4, lnternational Journal of Computer l/Iathematics (Taylor and Francis);
5. Applied Mathematics and Computations (Elsevier);
6. Facta Universitatis, Ser' lvlath' lnf' (University of Nii' Serbia);
VIIPAAHAoEE3EERI4BAtbyHAyIIH0.HACTABHoIIIoAMIATKAL. Pyxorolelbe r3paAoM AoKropcrl{x 4ncepraquia: Heua
z. gaancrro y KoMlrclriarvra sa orreHy n o46pany AoKTopcKlrx Alrcepraquia u
MarI{craPcK}Ix re3a: Hei'l a
uuqIAHCTBoyCTPyqHI,IMI,IHAyIIHI,IMACoUI,IJAUI4JAMAL. Mathematical Reviews, division of the American Mathematical Society
IX HAIPA AEt4 TIPI43HAIbA
Hairaxnuie narpa4e Ha AoMahnpr n rvre[ynapoAHlrM TaKMllqerbnMa
cpeArborrrKoJIaIIa:
1. I uecro r,r3 MareMargKe Ha 46. peny6lLauroj cMorpl4 paAoBa 2!!!:roAI4He'
2. Il uecro r43 MareMarr4 Ke Ha +1. peiy6lLauroj crvrorpl4 paAoBa 2005' roAHHe'
3.TpehaHarpaAaAra,reroprajerra44.peny6.[I4qKoMTaKMI4qerbeI43MaTeMaTHKe2002. roAI'IHe'
Ocraae HarpaAe:
1. Crraneu4raja Oou4a 3a Mta4e raJIeHTe'Ao
foAHHI,I2. Crules4uja <Don4aquje sa pasnoj Hayr{Hor
roAHH14
3. CruneH4uja rpa4a Huma y 2070. roAHHI4.
1000 Haj6orbl,Ix cryAeHara y 2009.
v yuertvrqKor roAMJIarKa y 2008.
X HAYIIHI{ PAAOBI{
KaH4ra4ar ce 6asu HayqHr.lM r4crpalxuBarbl4Ma y o1tacru paqyHapcKHx HayKa
(cr,rn6o;rrzvKo H HyMepuqKo H3paqyHaBarbe MarpHr{HHx AeKoMn03uqu)a I4 reHepa-
rvca14x HHBep3a ruarprarla) 14 MareMarLIr{KHx HayKa [onepaqnoHa HcrpaxvBarba',
M areM arHr{ Ko IIporpar'arzparLe).
O6janrao je je4ny r'aoHorpaQrajy uellynapoAHor suavaja [Ias4anav: Apple Academic
Press, Taylor & Francis Group) n 28 uayvuux paAoBa, oA r{era L1- y vaconuclaMa Ka-
reropnja MZL,MZZ 2M23, Kao a 6 caouurreFba Ha Hayr{HHM cKyroBI4Ma uefyHa-poAHor H Hat{HoHaluor suauaja.
MonorpaQraia rvrefyHapoAHor snauaia (NlI.?' 10 6o4oea)
L. I. Stanimirovii, Computation of Generalized Matrix Inverses and Applications,
Apple Academic Press, Taylor & Francis Group, 2017,lSBN:
978177L886222.https : //www.talzl orfrancis.com/books/9 7 8 1 3 1 5 1 1 5 2 5 2
pa4onn o6iar6eHu y BpxyHcKrdM rvrelyuapoAHrrM rracorucurvra (M21, 8 6o4ora)
Z. D. Pappas, V.N. Katsikis, I.P. Stanimirovit,, Symbolic Computation of the Aluthge
Transform, Mediterranean f. Math. (201,7) L4:45. doi:10.1007/s00009-017'0862-
5
https://link.springer.com/article/ 1 0. 10 0 7/s0 0 009-0 1 7-0862- 5
3. M. Tasii, I. Stanimirovi6, Symbolic computation of Moore-Penrose inverse using the
LDL* decomposition of the polynomial matrix, Filomat 27:B (20L3), 1393-1403'
http://www.pmf.ni.ac.rs/pmf /publikaciie/filomat/2013/27 -8/F27-B-3.pdf
4. I. Stanimirovif, M. Tasi6, Computation of generalized inverses by using the LDL*
d e c om p o s ifion, Ap p l. M ath. Lett. 25 (20 12), 52 6 -53 L.
http ://www.sciencedirect.com/science/article/pii/S089 39 65 9 1 100463 0
5. p. Stanimirovi6, D. Pappas, V. Katsikis, I. Stanimirovit, Full-rank representations
of outer inverses based on the QR decomposition, Applied Mathematics and
Computation 2 18 (20L2), 103 2 1-1033 3.
http ://www.sciencedirect.com/science/article/pii/S009 63 0 0 3 1 2 0 0 3 943
6. P. Stanimirovid, I. Stanimirovid, Implementation of polynomial multi-objective
optimization in MATHEMATICA, Structural and Multidisciplinary 0ptimization36[2008), 41,1,-428.
http://l ink.springer.com/article/10.L00 70' 2Fs00 158-007-0 180-9
Pa4onu o6iar"rr,eru y rrcraKHyrnM rvrefynapoAHnM rracoflucllva (M22,5 6o4ona)
7 . M. Lukovic, V. Lukovic, I. Belca, B. Kasalica, I. Stanimirovic, M. Vicic, LED-based Vis-
NIR spectrally tunable light source - the optimization algorithm, |ournal of the
European Optical Society-Rapid Publications [2016) LZ-1,9, DOI: 10.1186/s41,476-
01,6-002t-9.h ttns : / /l i nk. s n rin ser. com /articl e / 1 0. 1,1,86 / s 41, 47 6-0 1,6-0 02L-9
I. Stanimirovi6, Computing AQ)r,s lnverses of Hermitian Matrices via LDL*
Decomposition for a Square Matrix A,Linear and Multilinear Algebra 63:B (2015J,
L553-t567.http://www.tandfonline.com/doi/abs/10.1080/03081087.2014.952897?journalCode=glma20
f. Stefanovi6-Marinovi6, M. Petkovii, I. Stanimirovid, Application of the ELECTRE
It4ethod to Planetary Gear Train )ptimization, fournal of Mechanical Science and
Technology 29 (2) (2015), 647 -654.
htrps://link.springer.com/article/ L0. L00 7/s12 206-0 15-0 1 24-z
10. P. Stanimirovii, D. Pappas, V. Katsikis, I. Stanimirovi6, Symbolic computation ofA(2)T;S-inverses using QDRfactorization, Linear Algebra Appl. 437 (20L2),1317-1331.
http://citeseerx.ist.psu.edu/viewdoc/download?doi= l-0.1.1-.708.30 L 1&rep=rep1
&tlzpe=pdf
11. P. Stanimirovii, J. Nikolov, I. Stanimirovid, A generalization of Fibonacci and Lucas
matrices, Discrete Applied Mathematics 156 [2008), 2606-2619.http://www.sciencedirect.com/science/article/pii/S0 1 662 18X0 70 0495 7
Pa4onn o6iar.rreHr.r y nelynapoAHnM qaconucuua (M23, 3 6o4a)
1,2.1. Stefanovi6 Marinovi6, M. Petkovii, I. Stanimirovi6, M. Milovandevi6, A model ofplanetary gear multicriteria optimization, Transactions of Famena 35:4 (2017),21-34.http ://famena.fsb.unizg.hr/famena.php?lang= eng&famena= 3 B
Pa4onn o6iar,rrenu y no4ehrM rraco[ucr,rMa HaquoHaJIHor 3Harraia (M51, 2 6oga)
13. Pappas, D., Katsikis, V., Stanimirovic, L (2018). Symbolic computation of the Duggaltransform. f ournal of Linear and Topological Algebra [JLTAJ, 7(L),53-62.0 nline ISSN : 23 45 -59 3 4 http : //i lta.iauctb.ac.ir
8.
9.
L4.1. Stanimirovi6, Determining Solutions of Fuzzy Cellular Neural Networks with
Fluctuating Delays, FACTA UNIVERSITATIS (NIS), Ser. Math. Inform. Vol. 34, No 1
(20 1,9), 57 -7 2, http s : / / d o i. or g / L0.22 L9 0 / FUML1,9 0 l0 57 S
15.1. Stanimirovid, Successive computation of some efficient locations of the Weber
problem with barriers, fournal of Applied Mathematics and Computing 42 (20L3),
193-2t1.http://link.springer.com/article/10.100 7o' Fs1 2 19 0-0 1 2 -0 63 7-x
16. M. Tasi6, I. Stanimirovid, Simplifications of rational matrices by using UML, Facta
Universitatis (NiS) Ser. Math. Inform. 28, No. L (201,3),75'86.
http://facta.junis.ni.ac.rs/mai/mai2 B0 1/fumi2 B0 L 0 7'pdf
17. I. Stanimirovid, Full-rank block LDL* decomposition and the inverses of nxn block
matrices,|ournal of Applied Mathematics and Computing 40 (20L2),569-586.
http ://link.springer.com/article/10. 1 0 0 7/s1 2 19 0-0 1 2-0 5 79-3
18.1. Stanimirovid, Compendious lexicographic method for multi-obiective
optimization, Facta Universitatis (NiS) Ser. Math. Inform. 27, No. t (201,2),55-66'
h ttn : / / f a cta. i u n i s. ni. ac.r s / mai / mai27 0 1 / tarniZl I 7-05n df
19. I. Stanimirovif, M. Zlatanovi6, M. Petkovi6, 0n the linear weighted sum method formutti-objective optimization, Facta Universitatis (NiS) Ser. Math. Inform. 26(20L1),
47-62.http://facta,junis.ni.ac.rs/mai/mai26/fumi-26 49 63.pdf
20. M. Tasii, I. Stanimirovif, Implementation of partitioning method, Facta
Universitatis (NiS) Ser. Math. Inform. ZS (201,0),25-33.
http://facta.junis.ni.ac.rs/mai/mai25/fumi-25 25 33.pdf
21.1. Stanimirovif, M. Petkovi6, P. Stanimirovi6, M. Ciri6, Heuristic algorithmfor single
resource constrained project scheduling problem based on the dynamic
programming, YUf OR 1'9 (2009),2BL-298.
http://www.doiserbia.nb.rs/img/doi/0 3 5 4-0 243l 2 00 9/0 3 54-
024309022BtS.pdf
22.1. Stanimirovit, M. Tasii, Performance comparison of storage formats for sparse
motrices, Facta Universitatis (NiS) Ser. Math. Inform. 24 (?.009),39-51.
https://pdfs.semanticscholar.org/cf79/2bb9ac27ea6b65aa31c091be1745 5 55d0
db9.odf
23.M. Tasii, P. Stanimirovid, I Stanimirovid, M. Petkovi6, N. Stojkovit., Some useful
MATHEMATICA teaching examples, Facta Universitatis (NiS) Ser.: Elec. Energ.18,
No.2 (2005),329-344.http ://facta.juni s.ni.ac.rs/eae/fu 2 k5 2 /tasic.pdf
Pa4onu caoflIlrreHn Ha ruefyHapoAH[rM cKyrroBr{Ma, rrrraMrraHa y rleJr}rrru (M33, 16oa)
24.1. Stanimirovid, M. Tasi6, Fast computation of some efficient locations of theWeber problem, The 14th Conference of the ASMDA International Society, Rome,Italy, 7 - L 0 J une Z0 L1. [C D Pro ceedings) http : //www.asmda.com/
25.leteaa CreQaHonuh-MapraHonuh, Eo6aH AHtlearconuh, Mu.noru MnaosaHqenuh,Mapxo llerxoeuh, Hnau CraHuuuponuh, A"nercau4ap Mu"nreuonuh, DifferentApproaches to the Planetary Gear Trains Optimization Application, 3rdInternational Conference "Mechanical Engineering in XXI Century"-MASING 2075,Maruuucxu @arcylrer y Hulty, vol. , no. , pp.1,37 - t40, issn: ISBN 978-86-6055-072-1, udc: , doi: , Cp6u ja,17. Oct - 18. Nov, 20L5
Caonrurerra ca rvrefyHapoAHr.rx cKynoBa rrrraMraHa y r{3BoAy (N134,0.5 6o4ona)
26. I. Stanimirovid, Computing Aluthge and Duggal transform of polynomial matriceswith complex coefficients, XIX Geometrical seminar (28.08. - 04.09.20L6),Zlatibor,Serbia,7l-71,.
http://www.matf.bg.ac.rs/skup-u-zemlji/300/-lat-xix-geometrical-seminar-august-2 B---september-4-2 0 1 6-zlatibor-serbia--lat-/
27. M. Lukovi6, V. Lukovi6,I. Stanimirovid, I. Belda, B. Kasalica, Analysis of decreasingand periodically decreasing functions in order to optimize radiation of LEDs basedon GaAs, InGaAs i AlGaAs, 36opHux 59. xouQepeuquje 3a eJreKrpoHHKy,TeJreKoMyHuraqnje, paqyHapcrBo, ayroMaruxy r4 HyKJreapHy rexHr,rKy ETPAH201,5, Cpe6pHo jeeepo, B.4o 11. jyua 2015. roAHHe, ISBN 978-86-80509-72-3.
http : //etran. etf.rs/etran2 0 1 5/fajlovi/Program ETRAN 2 0 1 5.pd f
28. l. Stanimirovi6, Computation of generalized matrix inverses via full-rank LDL*decomposition, 13th Serbian Mathematical Congress, Vrnjatka banja, (May 22-25,201.4)
htto://tesla.omf.ni.ac.rs/oeonle/smak/book of abstracts.odf
29.I. Stanimirovi6, M. Petkovi6, P. Stanimirovit,, Heuristic Algorithm for singleresource constrained project scheduling problem, Proceedings of symposium onstrategic management, fuly 2006, Jagodina (SerbiaJ.
O46parreHa AoKTopcKa Aucepraquia (M7 1, 6 6o4ona)
30.1. Stanimirovi( Algoritmi za simboliika matritna izraiunavanja i optimizaciju,Univerzitet u N i5u, Prirodno-M atematidki fakultet, Z0 13.
XI I,IHAEKC HAYTIHE KOMTIETEHTHOCTH
KATEfOPI,IJABPOI
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HAKOH I,I3EOPA y 3BAtbE AOIIEHTA
M21 (B 6o4ona) L 2 8
M22 (5 6o4ona) 3 7-9 15
YKYIIHO - M21,+M22+M23 : 4 2,7-9 23
M51 (2 6o4a) L1 L3-23 22
M33 (1 6oaJ Z Z4-25 2
M34 [0.5 6o4oeaJ 4 26.29 2
YKYIIHO - M30+M50+M60: L6 L4-29 26
M7L (6 6o4onaJ 1 30 6
YKYIIHO: 30 1-30 110
XII AHA/III3A PAAOBA KAHAI,IAATA
Pesylraru AocaAarxrber r.rcrpaxuBarba KaHAHAara Mory ce cBpcrarl4 y ABeo6nactvt: H3paqyHaBarbe reHepaJracaHl4x I,IHBep3a MarpuLIa v ortepal{HoHa
Hcrpaxr,rBarba. I,laro cy paAoBI,I yrJIaBHoM v3 o6nacru paqyHapcKux Hayxa A
MareMarnKe, oHH cy rrpr4MeH hvrBkt y MHoTHM ApyrHM o6racruua HcrpaxuBarba.
Pa4onn Be3aHr4 3a H3paqyHaBarbe reHepaJIHCaHHx HHBep3a KoHcraHTHHx,
p arl H o H aJI H Hx I,I n o JI H H o M H j aa u ux M arp I4 I{a :
Y pagy [4] yne4eH je eQNxacaH anropuraM, sacHoBaH Ha LDL* 4exovlnosuqnju, sa
H3par{yHaBarbe {L,2,3}, {I,2,4} vt Moore-Penrose HHBep3a paLIuoHaJIHHx MarpHIIa.
KopuruheHh cy Marpuv.Hu nporz3BoAu A*A a AA* H oAroBapajyha LDL* Qaxtopusaqajaxaro 6u ce H3paqyHao yonureHz HHBep3 MarpHIIe A. flocuarpameru rpou3BoAa
Marplrqa [R*A)t R* n Tx[AT*)f, r4e cy R u T npousnorbHe par{HoHarrHe Marpurle ca
o4ronapajyhrana 4uiueHarajaMa H paHroM, KapaKrepu3oBaHe cy K.race {1,2,3} u {L,2,4}HHBep3a. CPU npevreHa 3a H3paqyHaBarbe raHBep3a cy ynopelnaaHa ca o4ronapajyhrauBpeMeHHMa 3a HeKo"[HKo no3Harr4x anropvraMa 3a H3paqyHaBarbe Moore-PenroseHHBep3a.
Hyuepuvxu aJrropuTaM 3a H3paqyHaBame A(2Jr;s HHBep3a H3BeAeH je y paay [5],xojra renepanr.t syje n03Hare perpe3eHrar-1nje Moore-Penrose HHBep3a. Yee4euzaJrropHraM je sacHonaH Ha ra3paqyHaBamy QR AeroMno3uquje MarpHIIe nornyHorpaHra. KaH4u4ar je 4orasao Aa go6ujeaa perpe3eHraquja croJbHux t4HBep3a vo4ronapajyha onura penpe3eHraqraja npov3BoAe I4AeHrHr{He pe3ynrare. HcrpaxuBaHaje u erccnaur{HrHa rpaH3HI{Houa Qopvryna usvrefy oBux perpeseuraquja.
Cneqr.tjanHe Qaxropusaqraje rrornyHor paHra xoje reHeprzury {2,3} v {2,4}HHBep3e 4o6ujene cy y pa1y [10]. Cnu yee4eHu aJIropI4rMH 3acHoBaHH Ha QR
AeKoMn03urluju cy BpJro eQzxacuu y nopetlemy ca ocranHM MeroAaMa 3a I,I3paqyHaBarbe
reHepa.rrHcaHr,rx HHBepsa. Pa4u recrr4parba yBeAeHHx arropHTaMa, HMrrJreueHrnpaH jefpesuron MeroA nperpafznarba, rrro je ny6turcoBaHo y paay [20].
Y paly [3] cy godujena ABa arrropHrMa sa cuu6o.nHqKo H3par{yHaBarre A(2)r;s
HHBep3a parIHoHaJrHHx Marpuqa je4He npoMeHJbHse. floclaarpaHo je cuu6oruvroH3paqyHaBarbe yonureHzx HHBep3a npHMeHoM LDL* u QDR 4exonrnoanquje Marpul1anorryHor paHra. Vnorpe6oM AoAarHe 4rajaroHaaHe MarpuIIe y o6a cr,yuaja, us6erHyroje nopnurherbe KBaAparHor KopeHa, urro je oA KJbyt{He Ba}KHocrH KoA cau6o"nuqrcorpar{yHarba noJrHHoMt4jataux u paqiloHa.IrHl,ix H3pa3a. flara cy H yrlopeAHa BpeMeHa
r.r3paqyHaBaFba aJrropvraMa us [3] ca ApyrHM no3HarvM MeroAaMa Ha cKyroBI4MaparIHoHanHHx recr Marpl,Iqa pa3ilu'urTvrx paHroBa u guvensuja.
Mero4 ea 6roxoecxy LDL* AeKoMro3vtrJtl)y nornyHor paHra KoHcraHTHe 6rorMarpur{e je onucau y pa1y [17]. Onaj MeroA je npunemeH Ha Hanaxerbe o6u.{Hor Iz
Moore-Penrose HHBepsa 2*Z 6lom uarpuqa.
Y paay [16] npeAcraBJbeH je YM/l uogeil y rlvrby peuaBarba pa3nr4.uvrurx
npo6lei*la Marpr4t{He alre6pe, a noce6Ho y llvttby Ll3paqyHaBaFba reHepalucaHnxHHBep3a. O4ronapajyhu crarvrv-Kkl, AuHaMIdqKH vr Qusvttrcu 4njarpar'tz cy xopuuheHl 3a
peaJrH3arlujy u paanoj a.nata 3a MoAenHparbe.
Pa4onu ne o6aacrn OnepaqnoHa ucrpaxl.rBarLa:
y paAy t6] HsyqaBaHa je cuM6orH.rxa HMnJleMeHraquja r.raBHHx MeroAaBV rxeKpr4Tepajyvlcme onrr4MH3aquje. VcnurvBaHw cy v yc.ItoBn llapeto orITHMaJIHocrt4,
rcopucrehu r'aoryhHocr cuw6onust<ux rpancQopr,lar-1uja naKera MATHEMATICA.I4spaf eura an ropI4TM H cy npaKruq H o n pH M erbeH H y pa1oBt4va 112,1,5,1 8, 1 9].
Paa [9] cal.p]Kt4 peanv3a\vjy r"rareruarHr{Kor MoAeJra je4uor rHna nJraHeTapHor
3yilqacror npeHocHuKa, Kao I,I Bt4lxeKputepnjynacKy ollTuMuzaquiy y crcnaqy ca 4rcpnrepujyr"rcre QyHrcqlrje (sanpevrzHa, Maca, rcoe$nqnjeHr KopzcHor 4ejcrna, Kao Lt
rporxKoBu lzspa4e). 3ynvacru flpeHocHnrc je rouuJlerHo o4pefeH ca 6 ocuoBHuxKoHcrpyxrlt4oHr4x napaMerapa.Y papy je paaerzjeH aJlropvrau xoju o4pefyje cKyn cBHx
6-ropxra KoHcrpyKrlroHux napaMerapa, raKBI4x Aa po1ujeau 3ynqaHHI-U4 uva)yo4ronapajyhe nepQopruaHce. 3a Ha"[axerbe onruMaJrHor peuerba, xopuurheHe cy
o4rosapajyhe napujaure MeroAa BHrxeKp14repujyr,rcxe onr:unauaaquje: MeroAa
TelKL.rHcKHx xoeQ u qnj eua'ra, neKcH KorpaQ cxa MeroAa, M eroAa 6-orpaH HqeFLa H MeroAapacrojama. KorrlnleraH aJrropr4TaM 3a npojextosarte u oIITHMHsaqIajy upeuocHlzKa
HMnrreMeHrHpaH je y coQrn epy PlanGears.
Pa4onn [15] ra [23] o4noce ce Ha B:a3yeilv3aqIajy ontraMu3alluoHnx npo6.neua ynporpaMcKoM naKery MATHEMATICA.llpuxa3aHa je uunreueuraquja reoue'rpujcxorMeroAa JrnHeapHor flporpaMr4parba y 2D u 3D xao u ttopuQuxaquje HeKoJIt4 Ko MeroAa
BH rxeKpHTeplajyr'lcxe onrnuuaaquje.Y pagy [21], xaH4v1ar ce 6aeuo npo6aeuoM pacnoAere pecypca. llpurcaaaHa je
je4Ha HoBa xeypucrvna 3a peuaBaFbe oBor npo6lerua 6asupaaa Ha AI4HaMI4.{KoM
nporpaMr,rpaby, a 3arHM je recrupaua aaje4uo ca HeKoJIHKo nosHarnx xeypucruKa 3a
peuaBarLe onor npo6JIeMa.
Epoj rlrarara KaHAHAata je:
- Web of Science: 64,6ee cauoqurara 58;
- Scopus: 77,6e2 caMoql4Tara 65.
04 pa4ona o6jaemeanx y qaconHCLIMa ca fCR ltr4cre, Ao caAa ie paR [5] qutupaa20 nyra,paa [11] je qrarzpau 17 ny"ra, paAoBI4 [a] u16l no I nyra, paAoBLI [10] u [12] uo 4 nyra, apaAoBH [3], [B] rz [9] no je4nor'I (uper,ra rtoAaIIHMa ca Web of Science).
XIII OIIEHE
OqeHa p e3yJrrara HafrH or, lrcrpaxuBarrKor oAHo cHo yMerH [Ir{Kor paAa
KaHAHAaTa:
[p HnaH Cr:aHrauuposuh ce 6azu aaytHo-I4crpaxl4BaqKl4M paAoM y o6nactupaqyHapcKux 14 MareMarr,rrrKr4x HayKa. O6januo je ZB Hayr{HI4x paAoBa, o4 vera 11 yqaconucnMa KareropujaMZL,MZ? u M23 (oA rora 5 y M21.,5 y M22 a ly M23), vuue je
ocrBapr.ro 68 6o4ona, oA r{era 23 naxou us6opa y 3Barbe Aot{eHra. I4uao je 6 caonurrerbaHa HayqHHM cKynoBilr'la vrefyHapoAHor r4 Har{IaoHanHor 3Har{aja. YvecrByje y pea/IH-
ea4uju HayqHo-Hcrpaxr4Baqxor npojer<ra MuHIacrapcrBa Hayl(e u npocBere Peuy6anxeCp6nje. Kan4ra4ar je 4o ca4a capa!nnao ca rpeKo L0 xoayropav3 qeJlor cBera. Marepujamojy raH4nAar r4crpaxyje je BpJro MoAepHa H HMa BeoMa suavajHe rpI4MeHe, a I-beroBH
HayqHH pe3yJlrarll cy BHcoKo IIeTLeHH y r'refyuapo4uoj HayvuojjanHocrn.
Oqena aHraxoBarLa KaHAlrAara y paseoiy HacraBe u pasnoiy Apyrllx AeJlarHocruBlrcoKoluKo"IlcKe ycraHoBe:
Cnoj 4onpnHoc pa3Bojy HacraBe r,r Apyrt4x AeJIarHocrLI ua [IpupgAHo-Mare-Marr4r{KoM Qaxynrery y Hraruy r4 Ha ApyrI4M I,IHCTI,ITyqujaua,4p HnaH CraHlauupornh je
4ao ceojur'l aKTHBHT4M yKJbyqerber',r y peQopvty ctygujay cnnaAy ca 3axreBHua Eoaomcxe
AemJraparlr4je ra arryeJrHor 3axosa o Br4coKoM o6paaonamy. Yseo je axrueHo yveulhe ypeQopr,nncarby HacTaBHr4x rrpeAMera Ha xojtzua je 6uo aHraxoBaH Kao acucreHT H
lpeAaBaq, 4ao je AonpHHoc yeotlerry HoBHx HacraBHIax cpeAcraBa, I,I Apyro.Cnoj' 4onpr4Hoc paaeojy Apyrnx AeJrarHocrn Ha [Ipnpo4Ho-MareMaruqKoM
Qarcynrery y Hnury, 4p I,lnan Crauuuuponrzh je 4ao cnojuM aKTHBHnT',r yveurhevr ycre4ehuu opraHHMa Qaxynrera:
- llpe4ce4Hnx KoMHcuje za cnponotleme npujer,,rnor HcIII,ITa sa OAC Pa.ryuapcxeHayKe, roqeBul4 oA IxKoJIcKe2017 /20L8. ro4uue
- 9,nau Anc\latJrvHcKe KoMuczje [IpupoAHo-MareMarnqKor Qaxy.nteta y uK.Z0t7 /20L8. ro4uHa
- 3aueHrarc npeAceAHuxa xouncuje aa
Pauyuapcre HayKe y uK. 20t6/2017.cnponoferre npujevrHor Hcrrl4ra Ha OAC
ToAHHH
Taxofe je npoQecop 3a npeAMere us o6aacru paqyHapcrBa y cnequjalu3oBaHoM oAe-
Jberby 3a raJreHToBaHe MareMarnvape lzuHaeraje "Cnetosap Maprconnh" y Httuty, oA
01.09.2013.
OqeHa pe3yJlTara [eAarouKor paAa KaHA[rAara:
Y cnopr AocaAaurbeM HacraBHo-reAaroluKoM paqy,4p Hnau CraHuvIzponHh je
[oKa3ao H3y3erHe pe3yJrrare. Beoua ycfleuHo je usno4uo npeAaBarba v sex6e Hs
HeKoJrHrIHHe npeAMeta y o6aacrH paqyHapcrl4x HayKa H MareMarlzre Ha ocHoBHIrM H
Macrep aKaAeMcKHrt crypn)aMa Ha {enapruaHy 3a Pavyuapcxe Hayre [Ipupo4Ho-
MareMarz.rror QaxyJrrera y Humy, Kao r4 HacraBy y cnequjalu3oBaHHM oAeJberLI4Ma 3a
TaJreHToBaHe MareMaruqape ra raHQopr*larl,Iqape, fHr'lHasuje "Cneto3ap Mapxonuh" yHraury. Tupre je crercao 3HarHo neAarouKo l4cKycrBo v cnoco6Hocr 3a paA yBHCoKoIII Kolcmoj ycraH oBI,I.
xtv MI,Im/bEIbE KOMI4CI,IJE O I,lCnyrbEHOCTH yC/IOBA 3A I,I3EOP
Ha ocHony cBera HarrpeA peqeHor, 3a KaHAI4Aara {p HeaHa CraHnuuposuha Mo}KeMo
3aKJb)^{ I4TIa ca e4eh e:
L. O46paHao je 4ortopar H3 HayqHe o1nactu sa xojy ce 6upa;
2. Vlwa rr03I4THBHy ottreHy AocaAalxrber HacraBHor paAa;
3. I,Lvra ocrBapeHe aKTr4BHocrH y qerapn eJIeMeHTa AonpuHoca aKaAeMcrcoj ra unpojzaje1uuqu;
4. O|javuoje 5 pa4ona y BpxyHcKHM qaconucHMa r,nefyHapoAHor aHavaja (xareropujaM21),5 pa4ona y HcraKHyrnrr,r rvrelyHapoAHuM r{aconl4cnMa (xareropuiaM22), u IpaA y qacorHcy r"refynapoAHof 3Haqaja [rareropuja M23), qI4Me je octnapno yKyIIHo
68 noeHa H3 KareropwjaM?la,M?1..,MZZ uM23. Op,rora je HaKoH raa6opa y 3Barbe
AorleHTa ocrBapv o yKynHo 23 noesa ca qerI,IpI4 paAa oA rcojux je je4au caMocranHn
paA;
5.OA us6opa y nperxoAHo 3Barbe rzrua je4aH caMocraJlHlapa1 o6jaerneu y qaconucy
Facta IJniversitatis, Ser. Math. Inform, xoju rzs4aje YHueepsurer y Huruy;
6. Cnoje HayqHe pe3ynrare Ha vrefynapoAHuM HayqHHM cKyroBHMa I,I3no)KI'Io je xpos
6 caonrurerba Ha HayqHHM cKynoBI'IIvIa;
7. Y ceoM AocaAaurbeM HacraBHo-neAaroilKoM paAy noKasao je 4o6pe pe3yJlrare.
CrpyvHo H ycreuHo je raaeo4uo HacraBy H3 npeAMera y o6tacru par{yHapcrcHx
Hayr(a r,r MareMaruKe Ha ocHoBHHM H Macrep cry4njar'na [Ipupo4Ho-MareMarl4t{Kor
Qaxynrera y Hnmy Kao H HacraBy y cnequjaru3oBaHnM oAeJberby 3a ra,IIeHToBaHe
MareMarHqape H nHQopr'rarHqape ruuHasuje ,,Cnero3ap Mapxonnh" y Hut:uy. Ha tajHaqHH, :raHA:zAaT je ctexao neAarorxKo I4cKycrBo A rloKa3ao cnoco6Hoct ga
HacraBHH paA;
B. Ayrop je je4He r,nonorpaQuje r"refyuapoAHor eHavaja, xoja je ny6lurconaHa HaKoH
rberoBor us6opa y 38arbe rqol-{eHTa;
9. Y.{ecHr,rr je npojer"ra:z3 o6aacru ocHoBHHx HcrpaxuBama QuHaHcupaHor oA crpaHe
MuuucrapcrBa npocBere, HayKe H TexHo,IIouIKor passoja Peny6nurce Cp6uje;
10. Epoj rIHTara KaHAHAara, 6e3 ayrorlnrara u \r4Tara Koayropa, npeMa 6asv Web of
Science v3Hocv 5B qntara, a rpeMa 6asn Scopus 65.
Kor',rracnja xoHcraryje Aa KaHAVAaT Ap l/^r,ala Craunrrnponnh HcnyrbaBa cBe ycJIoBe
npe4nrafeue 3arouou o BHcoKoM o6pasonamy, Craryrou Yuunep3l4Tera y Huruy uCraryrou [Ipupo4Ho-MareMarr,rvrcor QaxyJlrera y Hvtury, Kao I,I Eluxtztl xputepujy-Mr4Ma yreptleHuM oA crpaue Cesara YHasepsnrera y Huury aa us6op y 3Barbe BaHpeA-
Hor npoQecopa 3a yxy HayqHy o6lacr PavynapcKe HayKe ua fielaprMaHy 3a paqy-
HapcKe HayKe [Ipnpo4no-MareMarzuxor QaxyJlTera y Hutuy.
xrrr IIPEAJIOT KOMVCT4IE
Koruracraja npeA/raxe Hs6opnorur nehy [IpnpoAHo-MareMarlzt{Kor Qarylrera y
Hraruy Aa Ap Llrana Cranunuporuha npeA/rolxu eawz6op, a HayvHo-crpyt{HoM nehy sa
npr4poAHo-MareMarr4trKe HayKe Yuunepsurera y Hnury Aa ra rasa6epe y 3Barbe BaH-
peAHor npoQecopa 3a yxy HayqHy o6aacr PavynapcKe HayKe Ha !,enapMaHy 3a
paqyHap cKe HayKe IIpup o4Ho-MareMarl4'lxor Qarcynrera y H z uty.
V Huury,07.05. 201,9. roAHHe
peAo B H 14 npoQ ecop t r,ff"fJJ;ffi ffX*' Qaxynrera y Huruy, npeAceAHHK
""/4yr1'o{ *^r
^TaorhpeAoB H H npoQ ecop I p, poA""_ffiu#r;ffiT;
Ap tlpeApar PaironnhpeAoBHH npoQecop Mauuscror
Qary"nrera y Huury
-1/" t) t-' 1( /c)l/< a (,c't' '
O6pa:aq 6poj I
Ilorse rt pH po.qHo- N4areN{arH rl KHx HayKa
Ha ocuony qraHa 75. 3arcoua o BHcor(oM o6pa:oeamy (<C:ryx6eur rJracHHK PC> 6poj BBl20l1 ), u,raua
165. u 166. Craryra Yuaeep:urera y Hraruy (,,f,racuurc VHunep:urera y Hnruy" 6poj B/2017) ri unauoea 4. H 5.
llpaeu,rHuxa o [r3MeHaMa H AonyHaua [IpaanluHKa o rrocrynKy crHuarba 3BaL[,a H 3acHHBaBa paAHor oAHoca
,u.ru"nrou VHyeep:nrera y Huu,ry (,,llacuzx Ynnaep:Hrera y HraLly" 6poj 312011), I4:6opuo eehe
@arcy,rrera Ha ceAHHIru oApx<aHoj 12.06.2019. roAuue yrBpAHno je creqel]u
IIPEAnOroAnyKE o Lr3EOPy HACTABHI{I{A
L flpe4,ra;xe ce Aa ce LIeaH CraHHMHpoBr4h u:a6epe y 3Bar,e BaFIpeAHu npocfecop 3a y)Ky HayqFIy o6,racr
Pa.ryHapcrce HayKe:a u:6opult nepnoA y rpajamy oa 5 (ner) roAHHa'
Z. iexaH Qar<y,rrera he HaroH AoHo[Jerba O4,ryrce o a:6opy HacraBHuKa Ha oAroBapajyheur crpytlHoM renyyHueep:urera 3aKjbyqHru Yroeop o paAy cauza6paunM HacraBHHKoM.
3. flpe4nor oAnyKe AocraBurH Hayuuo-crpytlHoN,t nehy 3a rIpHpoAHo-MareMarHqKe HayKe, ceKperapy
Oarcy,rrera, ClyN6rz 3a orttrre [oc]'loBe H apxuBl'I @arcy,rrera.
O6pa3JIolKeIl,e
1. OIITIITIT ErrorPAocnu fIoAAul4
1.1. Jln.uru fiotrautr
1 .1 .1. Ilpe:rzMe r HMe yrlecHuKa KoHKypca I4saH CtaauHlupoeuh
1 .l .2. laryu H Mecro pollema 21 .09.1986', ,rlecroBau ..'.'.....'
l .l .3. Mecro crzl,'rHor 6opaerca Huru....'...... """"""""
1 .2.2, Hazus cnequj a,r ucruqKol PaAa ........'.
HayqHo nogpyujeroAhHa 11 Nlecro o46paHe """""""':
1.2.3. Ha:ue N{arncrapcKor/uacrep PaAa ......'..' """"""""'q"""""'HavLIHa o6,racrroAHHa H N,recro og6paHe
L2.4. Hasras AoKTopcKe Aucepraqreje Alropuruu sa cuu6o,rnqKa MarpHLIHa lz3paqyHaBarba H onruMH3aUHJy
HayqHa o6lacr PavyHapcxe HayKe.........
roAHHa r.r uecro o46paue llpupoguo-uarei\,raruLII(H cfaxylrer, YHueep:zrer y Huruy, 2013.......
ro.quHa uz6opa2014
1.3.2. 3ealbe KaHrHAara y rpeHyrKy pacnlrcuBaH,a KoHKypca H raryN,r o6jae,ruaama KoHKypca no xoue.iecreKao ro 3BaH,e Aorlenr, 05.05.2014. ...
3. IIPBrIEA O AOCAAAIIIILEM IIA)T IHOM I{ CTPyqHOM PAAy yaIECI{I,{KA I{OI{KI/PCA yfIoJIby IIPI4POAHO-MATEMATIqKIIX IIAyI{A
3.1. tr{:6gp ylBarbe AorreHr
I .3.3. Ha:He H ceAH[Ire ycrar-roBe, opraua:aunje y xojoj je yuecuurr KoHKypca 3arocrrelrIIpupo4uo-nrareMaraq KH cpaxy,rrer, YH u sep:urer y HuuypaAHo Mecro AoueHr.......1.3.21. laryHr nperxoAHor n:6opa (arco je yLrecHHK KoHKypca 3arrocJreH ua VHNeep:Hrery HnH HHCrHrvry -HaBecrr.{ aKo ce [pBH nyr 6upay:narue)
1.3.5. Ha:He yr{e HayqHe o6,racru ua xojoj je yuecuur< KoHKypca HacraBHuK, oAHocHo capaAHHKPauyuapcxe HayKe
1.3.6. Pyr<oeoAehe cpyur<rruje Ha rcare4pu/AenaprMaHy, rtlrr.{HHuH, rpaxy,rrery, Yrrusep:arery vnv HHCrnryrv-flpe4ce4ul.rr rcouucaje:a cnposo!eme npujelruor HcrrHTa ua OAC Pauyuapcrce HayKe, uoLreBrrra or rxKoJrcKe20111201 B. roanue
2. ilOAAUU O KOHr{yPCy2.1 . I . flaryu pacrHCHBalba KoHKypca 21 .02.2019. ..............2.1 .2.l4ufiopuaqrzja o roN{e rae je o6jae,rbeH KoHKypc Peny6llr.lr(H 3aBo.q 3a rp)rotxre pana, cDpuujala
2.1.3.Y:xaHayqHao6racrPauynapcreHayKe.......... ...................2.1.4. 3aarle:a rcoje je pacflHCaH KoHxypc {oqeHr }lnH BarrpeAHa nporpecop.................2.1.5. Paauu oAHoc ca nyHHM Hnr.l HenyHHM paAHHM BpeMeHoN,r PaAura oArloc ca nyl{HM paAHHr\{ BpeNreHor\,1
3.1 . I . 4orropar HayKa r43 yx<e HayLrHe o6lacru :a xojy ce 6rlpa
3.1.2. npacry[Ho rlpeAaBa]be H3 y]Ke HayLIHe o6,lacrH :a xojy ce 6upa, rro3HTHBHo ouer.beHo oI crpaHeBHCoKolrJKoJrcKe ycraHoBe rcoja je o6"iasrz,ra KoHKypc (HaBecrH 6poj n AaryM yrepfene oqeue)
3.1.3. no:uruBHa oueHa fleAatoluKor paaa, yrepleHa y cKnaAy ca q,.raHoM 13. flpaeu,rHuKa o nocrynKyCTuUaH,a 3Barba fi 3aCHHBarba paAHol olHoca HaCTaBHt'tKa Yuusep:urera y Huruy, 0CHM ano ce 6upanpBH nyr y HacraBHHqKo 3Barbe (Hanecru 6poj u AaryN,r yrnplleue oqeue)
3.1.4. ocreapeHe ar(ruBHocrr4 6ap y ABa eJ'reN,reHra AorplJHoca Lrupoj arcageucrco.j :aje4urqu u3 q,rana 4.E,rurtux xpurepujyvla:a n:6op y 3Baba HacraBHfiKa, ocHM aKo ce 6npa npsx nyl'y HacraBHHLtr(o 3Ba$e
3.1.5. y nocneArlHx ner rorHHa uajurarue je4au pa4 o6jas,reH ynln $arcy,rrer Yuzeep:rrera y HuLuy H,.rH ca SCLrucre, y
LraconHCy rco.;r.r n:gaje Yuraep:urer y HnLuyrojeu je npBonorrHCaHH ayrop
3.1 .6. y rrocJleArbux iler toAHHa ocrBapeHHx Hajrtame 6 noeua o6jan,rznart,eN{ HayLrHr4x paAoBa y Lraco[Hq..rMa
xareropuja M21 , M22 ntu M23, H cKJIaAy ca HaqHHoM 6o4osama MuHucrapcrBa npocBere, HayKe H
TexHoJIoIrIKor pa:noja Peny6,rrxe Cp6uje, npH LIeMy 6ap Ha -le4r-ronr paAy KaHAHgar uopa 6rarunpBonor[ucaHlJ ayrop (y o6,racrrz feo uayxa 6 6oaosa o6jaa,'lueameM HayLrHHx paAoBa y qacofiHcuMarcareropuje M24 r.r M5l)
3.2.l[z6o 3Balle BaH HH tI3.2.1. ucnymeHH ycnoBH
HacTaBHHKa, KaO H
05.05.2014. HCB
3a H36op y 3Bar6e AoueHr (uaaecru AaryM u 6po.jHa3HB opraHa xojuje 4oneo)6p. 8/1 7 -01 -0041 14-006, Yuaeepsurer y I{r.rury
Oa,lyrce o u:6opy y 3Bar-be
3'2'2. nozutHBHo oueBeHo [pHcrynHo [peAaBar-be rz3 yxte Havqrle o6,racru:a xojy." Orpu,'roorrno r.n,,rre.qarour(o LlcKycrBo (uasecru 6poj ra AaryM yrapfeue oqeue)
3.2.3. no:uraBHa oueHa reAarorxKor paga (axo ra je 6r.uo),flpaeu,rHltxa o nocrynKy cruuaH,a 3BaBa H 3acHhBarbaHrzury (uaaecru 6poj rz AaryM yrnpleHe orleue)
xoja ce yrapfyje y cKnaAy ca LrJraHoN,r 13.paArlor oAHoca HacraBHHKa yuuaep:urera y
ocrBapeHe aKTxBHocrH 6ap y rpfi eneNleHra AoflpuHoca runpoj arca4eucxoj :aje4uuqu nz ystaaa 4.BruNr.rx xpr.mepujyua :a u:6op y 3Barba HacraBHHKayveruhe y HacraBHHM aKTHBHocrHna r<oje He r{oce EC|IE 6oAose; yueruhe y pally re,ra dlaxylrera uyHHBep3Hrera; pyrtoeollerbe al{rHBHocruI\4a ua Qaxyrrery r.J yHHBep3Hrery: yuerulie nu roorrnrn,,pefuoHilJ'tHHM, HauHoHzl;rHHr\,1 Hr'rH HHTepHauuoHa,tHHN,r yNrerHHLrKHNj I,rauucfecraqu-janra,rcon$epenqujaMa H cKynoBuMa; rottpHHoc aKrHBHocrilMa xoje lo6oruraaajy yrneA H craryc Qaxy,rrerau Vuuaep:urera;..
3'2'5' o6jae"seu yu6er-rHK 3a yxy HayLIHy o6,racr :a rcojy ce 6upa, ruoHorpa$r.lja, npaKrrKy Nl tltlv:6npxa3aAaraKa (ca I4CEH 6pojerr,r)I. Stanirnirovic, Computation of Generalized Matrix Inverses and Applications,Apple Academic Press Incorporated, Taylor & Francis, 201 7. ISBN : 91Bl1j l886222j.2.6. yveLulre y uayuuniv npojexruuaPosaoi memoda u3poLtyHoaaLba u npoLlecupafbo uu$oprwou,uja: meopuja u npuMeHe, (6poj 17401,3,Hocilna L{ [l pr poguo-mareMarhq KH $a xylrer, H r u), racrpa]Kil BaLl
J./_.+.
).1_. t. y nocneAlbl]x fier roAr{Ha HaJMarl,e je4au pag o6jaa,.seu y qaconHcy xojn n:gaje Vuanep:Hrer y Huuvu,rrz $arcynrer vHnaep:r4reray Hraruy Llltv ca SClrucre, y xojem je npeonornr""o,-,, ay.r'p1' I' Stanirnirovii, CompLrting A(2)T,S Inverses of Hermitiai Mltrices via LDLi Decorrposition for aSquare Matrix A, Linear and MLrltilinear Argebra 63:g (2015), 1553-1567.2' I' Stanirrirovii, Determining Solutions of Fnzzy cellLrlar Neural Netrvorks with Fluctuating Delays,
3.2.8. uajuarte l2 iloeHa ocrBapeHHx o6jae,rsusarueNl Hayqr.tHx paAosa y qacoflHCHiva rcareropuja M2i , M22ustu M23, y cKnaAy ca HaqHHoM 6oAoealba MruucrapcrBa npocBere, HayKe H TexHonourcor pa:aojaPeny6'rure Cp6uje, npa LIeNIy 6ap ua je4uon po4y ,.rngrnar Nropa'6r* npuonorilH.aH, ayrop (yo6racru feo uayra 6 6oaoea o6jas,uuean eN{ HayrrHux paAoBa y Ltacorrycltra rareropuje M24 n M5l)
Pa4osrz o6jaerseHz y BpxyHCKHnr n,efyuapoAHr,N,{ Llacoruc,N,ra (M2 l, B 6o4oaa)I' D' Pappas, v.N' Katsil<is, I.P. Stanirlirovi6, syrnbolic CompLitation of' the AlLrthge Transl.orm,Mediterranean J. Marh. (201 l) 1 4: 45. doi : I 0. I 007/sb0009_0 I 7_0862_5
FACTA UNIVERSITATIS (NIS), Ser. Math. Infornr. vol. 34, No i (2019), 51_12,https://doi.orgl 1 0.221 90/FUMI I 90 I 0575.
https ://l i n k. spri n ger.com I articlel 10. 1 007/s00009-0 I 7_0 B 62_5
Y^^Iit]:;.,]_ tt-1",*'iovii,
.Syrnbo.lic_.computarion of Moore-Penrose inverse using2' M' Tasi6, I. Stanimirovii, Syrnbolic computation of Moore-Penrose inverse usirg the LDLx
decomposition of the polynomial matrix, Firomat 27:B (2013),1393_1403.
http://www.pmf.r.ri.ac.rsiprnf/publikacije/filomatl2013l21-81F27-B-3.pdf
3. [. Stanimirovi(, M. Tasi6, Compr-rtation of generalizecl ittverses by using the LDL* decomposition, Appl.
Math. Lett. 25 (2012),526-531.http://www.scienced irect.com/scienc el articlel piils0B93965 9 i 1 00463 0
4. P. Stanimirovii, D. Pappas, V. I(atsil<is, [. Stanimirovi6, Full-rank representatiotrs of outer inverses based
on the QR decomposition, Applied Mathenratics and Cornputation 21 B (201 2), 10321-1 0333.
http://www.scienced irect.com/scienc el afticlel piilS00963 003 12003943
5. P. Sta6irnirovii, I. Stanirnirovii, Implementation of polynomial mLrlti-objective optirnization irr
MATHEMATICA, Structuraland MLrltidisciplinary Optimization 36(2008), 411-428.
lrlrp;,!'-lf 1r!i,;p1 111g.sr,c-1:prl4fliq]9'i i {),I 007ilir2}:s{l{,}15S-q! 7-{)IS"0-9
paAoeu o6jae,.seuu y ucraKHyrHu trelyuapoAHHM LraconHCHN4a (M22,5 6oaoea)
6. M. Lgkovic, V. Lukovic, I. Belca, B. I(asalica, I. Stanimirovic, M. Vicic, LED-based Vis-NIR spectrally
tunable light soLrrce - the optimization algorithr-r-r, Jourrtal of the Europeart Optical Society-Rapid
Publications (201 6) 12-19,DOI: 1 0.1 1 B6/s41476'016-0021-9.
https://link.springer.com/article/ 10. 1 186/s4 1416-01 6-002 I -9
7. I. Stanir-nirovic, Computing A(2)T,S Lrverses of Hermitian Matrices via LDL* Decornposition for a
Square Matrix A, Linear and Multilinear Algebra 63:8 (2015), 1553-1567.
hrtp://rvww.tanclfonline.com/doi/abs/ 1 0. 1 080/03 08 I 0B 7.20 14.952891?iournalCode:glrra20
B. J. Stefanovi6-Marinovi6, M. Petl<ovi6, I. Stanimirovi6, Application of the ELECTRE Methodto Planetary
Gear Trail Optimization, Journal of Mechanical Science and Technology 29 (2) (2015),641-654.
https ://l ink. spri n ger.com I afiiclel 10. 1 007/s 1 220 6 -0 1 5 -0 124 -z
g. P. Stanimirovii, D. Pappas, V. I(atsil<is,l. Stanimirovi6, Synrbolic compr"rtation of A(2)T:S-itrverses using
QDR factorization, Linear Algebra Appl. 437 (2012), 131 7*133 1.
http://citeseerx.ist.psu.edu/viewdoc/dor.vnload?doi:10.1.1.708.3011&rep:repl&type:pdf
10. P. Stanimirovi6, J. Nil<olov, I. Stanirrrirovic, A generalization of Fiborracci and Lucas tratrices, Discrete
Applied Mathematics I 56 (2008), 2606-2619.http://\vww.sciencedirect.com/scienc el afticlel piilS0 1 662 1 8X0700495 7
PaAoeH o6jae,'teuu y rtaelyHapoAHuM qacorllcuMa (M23, 3 6oaa)
11. J. Stefanovii Marinovif, M. Petkovid, I. Stanimirovi6, M. Milovandevi6, A model of planetary gear
rurulticriteria optimization, Transactions of Fat'nena 35:4 (2011), 21-34.
http://famerra.fsb.Lrnizg.ltr/famena.php?lang:eng&fanlena:38....... """"''
3.2.9. aajvabe Tpn H3Jlatalba ua lrelynapoAHHi\'l u,ru Aol,rahuM HayLIHHM cKytloBHMa
l. I. Stanimirovi6, M. Tasi6, Fast con-rputation of some efficient locations of the Weber problerr, The 14th
Conference of the ASMDA Intematioual Society, Rotre, Italy. 7-10 June 2011. (CD Proceedings
http ://r.vlvw.asmda.com/2. .leleHa CrecfaHosuh-Mapuuoenh, Eo6aH AHlle,rxosul-t, Mn,toLu MHroeaH'teenh, Maprco flelrcoeHh, tr4eaH
Crauuunpoeuh, ArexcauAap Mu,rreuonxfi, Different Approaches to the Planetary Gear Traitls
Optimization Application, 3rd Intemational Conference "Mechattical E,ngineering in XXI Century"-
MASING 2015, Mauruucru @arcy,'rrery Huruy, pp. 131 - 140, issn: ISBN 978-86-6055-012-1, udc: , doi:
, Cp6uja, 17. Oct - 18. Nov, 2015
3. I. Stanirnirovii, Computing Atuthge and DLrggal transforn't of polynomial rnatrices r'vith corrrplex
coefficients. XIX Geometrical seminar(28.08.-04.09.2016),Zlatibor, Serbia,71-11.
http://www.rnatf.bg.ac.rs/sl<up-u-zeur lj i/3 00/-lat-xix-geotnetrical-senrinar-august-28---september -4-2016'
z I ati bo r- serb ia- -l at- I4. M. LLrkovi6, V. LLrkovic, I. Stanimirovi6, I. Belda, B. I(asalica, Analysis of decreasirlg and periodicalll'
clecreasing functions in order to optimize radiation of LEDs based on GaAs, InGaAs i AlGaAs, 36opuuri
59. nou$epeuqaje :a eJler(TpoHHr(y, TereKoMyHnraquje, paqyHapcrBo, ayroMaruI(y H HyKrleapHy rexHHKy
ETPAH 2015, Cpe6puoje:epo, B. ao 1 1.jyua 2015. roaune, ISBN 978-86-80509-12-3.
http : //etran.etf.rs/etran20 1 5/fa.i lov i/Program-ETRAN-2 0 1 5. pd f5. I. Stanimirovic, Computatiotr of generalized rratrix inverses via full-rank LDL* decor-r-rposition, 13th
Serbian Matlternatical Congress, Vrrrjadka bania, (May 22-25, 201 4)
http ://tesla. pmf.n i.ac.rs/peop I e/snlak/book-of abstracts. pd f6. I. Stanirnirovi6, M. Petkovi6, P. Staniurirovi6, Heuristic Algorithnr for single resource constrained project
schedLrling problenr, Proceedings of synrposiun-t ort strategic lualtagelllellt, July 2006, Jagod irla
(Serbia)..
3.2.10.y cKnaAy ca qraHoM 3. crae 4. E,ruxnx xpHreprijytra:a n:6op y 3Baba HacraBHHKa. HaBecrH pecpeperrue
xojuua ce noxa:yje Aa KaHAHAaT HcryrbaBa ycnoBe 4a 6yge Nletlrop :a eollerce AoKTopcKe gucepraqH.je
(y nperxo4u7x Aecer roAHHa uajuame ner paAoBa o6jae,'seHrzx y tlacortacllMa ca HM[axr rpaxropom ca
SCI ,rucre, oAHocHo SCIe nucre)L D. pappas, V.N. I(atsil<is, I.P. Stanimirovi6, Syurbolic Con-rpirtation of the AlLrthge Trausforrt't,
Mediteranean J. Math. (2011) 1 4: 45. doi: I 0. 1 007/s00009-0 1 7-0862-5
https ://l ink. springer.com I articlel 10. 1 007/s00009-0 I 7-0 862-5
2. M. LLrkovic, V. Lukovic, L Belca, B. I(asalica, I. Stanirnirovic, M. Vicic, LED-based Vis-NIR spectlally
tr-rnable light soLrrce - the optiurization algorithur, Jourttal of the Ettropeau Optical Society-Rapid
PLrblications (201 6) 12-19, DOI: 10.1 I B6/s41 416-016-0021-9.
https ://l ink. spri tt ger.corn I ar"iclel 10. 1 1 86/s4 1 41 6'0 1 6 -0021 -9
3. J. Stefanovic-Marinovic. M. Petkovii, I. Stanirnirovi6, Application of the ELECTRE, Method to Plarretaly
Gear Train Optirnization, Journal of Mechanical Science and Technology 29 (2) (2015),641-654.
https://doi.org/ 1 0. I 007/s I 2206-015-0124-z4. I. Stanirrirovi6, Compr-rting A(2)T,S Inverses of llermitian Matrices via LDL* Deconrposition fbr a
Square Matrix A, Linear and MLrltilinear Algebra 63:8 (2015), 1553-
I 5 67.dx.doi.org/ 1 0. 1 080/03 08 I 087.20 1 4.9 52891
5. M. Tasii, I. Stanimirovi6, Symbolic computation ol Moore-Peurose inverse ttsing the LDLx
decomposition of the polynomial rnatrix, Filomat 27:B (2013), 1393-1403. DOI: 10.22981F1L13083937
6. I. Stanirnirovic, M. Tasi6, Cornpr"rtation of generalized inverses by Lrsirrg the LDL* decomposition, Appl.
Math. Letr. 25 (2012),526-531. https://doi.org/10.1016/j.am1.2011.09.051
1. P. Staninirovi6, D. Pappas, V. Katsihis, L Stanimirovi6, Full-raltk representations of outer illverses based
on the QR decomposition, Applied Matherratics and Computatiort 218 (2012),10321-10333.
https ://do i.org/ 1 0. 1 0 | 6 I j.anc.20 1 2.04.0 1 1
8. P. Stanirnirovi6, I. Stanin-rirovi6, Irnplernentation of polynornial rrLrlti-ob.jective optirrization irr
MATHEMATICA, Structural and MLr ltid iscipl inary Optim ization 3 6(2008), 4 1 1 -428.''https://doi.org/ I 0. I 007i s00l 5 8-007-01 B0-9g. P. Stanirrirovi6, D. Pappas, V. I(atsikis, l. Stanirnirovi6, Symbolic cornputation of A(2)T;S-inverses usitrg
QDR factorizatiot.t, Linear Algebra Appl. 437 (2012), 131 7-133 1 .
http://dx.doi.org/ I 0. 10 1 6/j.1aa.2012.04.02610. J. Stefanovi6 Marinovid, M. Petkovii, I. Stanimirovi6, M. Milovarldevi6, A nlodel of planetary tear'
multicriteria optirn ization, Transactions of Fat.netr a 3 5 :4 (20 1 1 ), 21 -3 4.
3.3.1. Hcnymeg7 ycloBu:a:6op y 3Bar$e BaHpeAHh npoipecop (uaeecrn AaryN{ u 6poj Og,'lyKe o rrs6opy y
3Barbe HacraBHHKa, Kao H Ha3ttB opraHa rcojuje aoueo)
:.:.2. no.rrruru ou"ru;;;r;;r,.". o"^., ,:;j;;r"onrr" , t-'"o, "] "'"'o* i; np^;';;nno o not'vnnv
cr,ua*,a 3Ba*,a H 3acHHBaH,a paAHor oinoau ,u"rounnnu Ynuaep:nrera y HriLly (uaeecru 6po-j , 'qaryN,
yrep!eue oqeue)
3.3.3. ocreapeHe aKTI4BHocru 6ap y LIerHpH erreMeHra ronpuHoca urupoj arca4ellcxoj sajeAuruu Hs q'raua 4'
B,rlottax xplrrepujyrua ea u:6op y 3Barl'a HacraBHuKa
i.3.4. n,tenropcrBo HJIH KoMeHTopcrBo 6ap je4ue Aol(ropcKe AncepraurJe'
3aMeHt'lru jegunm HayqHHM pa4oM y qacorrcy xareropuje M21 ntnc THN4 IIITO Ce oBaJ ycnoB Mo)l(e
M22. ntvtjeaHrrt'r yu6eHHxotu nlu
je4uou n'lonorPaiPuj ou
3.3.5. ocrsapeHl4 pe3ynraru y pa:eojy H21yt111o-'u"raBHor rlo'4MJ'larKa' u ro 6apev y jeauonr o! c'reaehux
eJreMeHara: yr".he* y"nonrrarjuva:a o46paHy /loKropcKe A,CepratInje, raarucrapcKe re3e un14 N{acrep
pa,qa, ApxaH,eM HacraBe Ha AOKTOpSKHM CryAu.ian',ra, .Ap)l(aE'eN4
1tpnnpeMa cryAeHara 3a cryAeHrcKa
TaKMr.tLrepba, yueurheu y 3aBplxH14M paAoBr'lN'la Ha cneuuja'qHCTI'ILIK!{M 14 Nlacrep cryArjartra H cJ'lHLIllo
3.3.6. oa ns6opa y nperxoAHo 3Batbe o6jaerueu yu6er'rur< HnH Mol{orpaQuja n: y)l(e HayqFIe o6racru :]a rojy'ce
6upa
3.3.7. yueruhe y naelynapoAHl''lM u,ru AouafiuM HayLIHHM npoJel(rHMa
;;'; nar o6iae"beH'\ je YunneP:urer Y3.3.8. y nocJIeArbHX ner roAHHa Hajvarse jeaau paa o6jaa"ueH'y qacortncy Ko'lH H3Aa
unu cf arcy,rrer YHUsep:HTeTa y HrzLly HJIH Ca SCI ,rucre. y KoJeM.le rpBotlornvcaHn ayrop
:.:.0. ,,i*";; i;;;;,, ;;;;p;';; "o:""*'"'*" ;;;;;'; p;o;;; v ;;"";';;-"'-"'",-"p'.r'a'M2t' M22'
M23, y cKnaAt ;; nuruno* 6oaoua*u MuuncrapcrBa npocBere, Hayl(e u rexHonolurcor pa:noia
peny6,rnxe Cp6uje, c rHM ulro ceJeAaH paA Mox{e 3aMeHrlrl.l ocrBapeHuM pe3ynraroM xareropHJe M9 l'
flpu rone 6ap Ha je4uorr/l paAy KaHAHAaT N{opa 6uru npaonornl'lcaHH ayrop (y o6racru I-eo Hayra 9
6oAoea o6jae,wrsameM HayLIHl'lx paAoBa y LlacorlHcHMa rcareroprl'ie M24 u M5l)
3.3.10. ua.juame uecr H3Jratarba Ha vefyr-rapoguHM Hr'lH AOmafiuvt HayqHHM cl(ynoBHMa
3.3.11. ,":."*. ,..., urruro ,uy'n'* n","'i ii'{4T1 ; ;p;;;; ;;;;;'-' p;o";;t;; o6i"**tn" v
HayqHHN,l LracorHcHMa nareiopuja M21 , M22, M23 (usy:uH'rajyhu ayrou,rare 11 u,rare capa^HHKa'
oAHOCHO xOUUrare)
3.3.n.;"*rov.u'rruro*', .;";:. srrr-r. np,.r.pr.;yru rr rr6op y 3Barba HacraBHHKa, HaBecru perfepeuue
rojurrna ce norasyje Aa KaHAHAaT HcnyllaBa yarou" ga.6ylr- N{eHrop:a eole*e AoKTopcKe guceprarlnje
(y nperxoAHr..rx Aecer roAHlla uajrvra,+e r", pu4ouu o6jae,neurax y qacoflHc[Nra ca HMrlarcr rfaxropo| ca
SCI ,rucre, oAHocHo SCIe nucre)
HuLuy
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6. II3BEIIITAJ KOMI4CI'IJE O I{3EOPI/ IIACTABI'II{I{A (yuern 3aKJ.byqaK KouHcuje H o6pa3no)Ker-beH3Herof 3aKJbyqKa H: a:aeiuraja Koruucaje)
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Cacrae xorrurcuje:
I4we u [pe3uMe 3saH,e Vrrta HavqHa o6,racr Oprauu:auuia y xoioi ie :anoc,resr) Mrapocraa lrapr.rh peAoBHr/ npooecop Pauyuapcrce frayKe llpHpoguo-Na areMaru LrKH rpany,rrer
y Haruy2) MrraH Tao,rh peAoBHh rpooecop PavyHapcrce HayKe [Ipnpo4uo-n,tareMaruqKH (lary,rrer
y I-luLuyi) IpeApar Paixoahh peAoBHr/ npooecop Mareuaruqrie HayKe Mauruucrin $anynrer y Huuy4)
5)
s. troAAur{ o r,r3BErrITAJy noMrrcuJE
5.1 . Bpoj npz jaa,'t,enux yLrecHHKa KoHKypcaI (jegau).5.2. Iloaauu o ocra!.rnM nprzjaa,'reHzM yqecHauaMa KoHKypca (uue H npe3aN.re yLrecHHKa KoHKypca, Ha3HB 14
ceArzure ycraHoBe, oprauu:aquje y xojoj je yuecuun KoHxypca 3a[ocJreH z paAr-ro nrecro)
5.3. laryu AocraBJ.barba a:seurraja rouacHje08.05.20195.4. /{a,rn.je 6u,ro u:gsojeuax MurxJ'beba rlrar-roBa rcouucrjeHu.je
5.5. laryrvr craBJbarL,a u:eeuraja ua ynrz4 jasuocrrl08.05.2019.5.6. Haqrau (uecro) o6jae-rsnaarsaJlucr .,fIoc,rosn"5.7. flpraroaop Ha H3Beuraj (aaryiu no.qHouerla npnroBopa, roAauH o flonHocnouy npuroeopa)
5.8. flaryu AocraBJbarba oAroBopa xovrrlcr.je Ha nputoBopLIeua.
KattauAar, Ap I4ean CraHuuupoaah, ce 6aex uayugHM HCTpalKUBarbur\ra y o6:racru palryHapcKrix HayKa(cunr6o,rauxo H HyMepHqKo u3paqyHaBaH,e Marpr.rrlHHx AeKoNrno-3uuvja H reHepzllHCaHHx tlHBep3a uarpuua) uMareNlarilqKnx uayra (onepaquoua HCTpa)r(HBarba; NrareNrarr]qKo fipolpaMHparoe). Teopuja xo.jolr ce KaHIHAaT5aar.r npegcraBJba caBpeMeHy H BeoNla:uauajr'ry o6,tacr paqyHapcKHx HayKa H N.{areNrarHxe. Fberoe}l Hiiyrlsnpe3ynrarH cy rro3Harlr uupoj uelyHapoguoj uayvHoj jaeuocrn.
Ha ocuoey cBera HanpeA peqeHor, ivro)KeMo ucrahu ra KaHnr.JAar 4p tr4nau Crauuiurponufi:LO46pauuo je Aorcropar r.r3 HayLrHe o6racru :a xo.iy ce 6upa;2.L4va tt03HTHBHy oqeHy Aoca/xau]ler HacraBHor paAa;
3.hHra ocrBapeHe aKTlrBHocrH y rpn ener\{eHra AonpuHoca unpo.j arcaAeutcrcoj :aje4unuH;
4.O6jae[o je 5 paaoea y BpxyHcr(HM qaconHcuua uefyHapoAHor- :uauaja (rarero-puja "1]l' f^:ll::i,l
HcraKHyrHM uefyHapoaHHM qacon7cnua (rcareropuja M21t. u I paA y LlacoflHcy n'lefyHapoauor :nauaja
(xareropuja M23), uaue je ocrBapuo yKynHo 68 noena H3 Karefopu.ja M21a, M21, M22 u M23' oa rora -ie
HaKoH ,r6opu y 3BaBe AoUeHTa ocTBapHo yl(ynHo 23 noeua ca qerHph paAa oA rtojux je jelaH caMocraJII-lH pal;
5.Oa us6opa y rperxoAHo 3BaE,e uma jeAau caN,locraJIHH pag o6jae,ueH y qacorHcy Facta Universitatis, Ser'
Math. Inforrr, xoju u:Aaje Yuueep:arer y HuLuy;
6.Ceoje HayLrHe paayrrur" Ha nrelyHapoAHHN,r HayqHHNI cKyrloBlll\{a ti3r'Io)l(Ho je xpo:6 caonrurerue Ha HaytlHHNI
cr() tloBHMa:
7.y csoNl nocaAauH,eM HacraBHo-[eAatouKoNr paAy noKa3ao.ie ao6pe pe3ynrare. Crpyquo rl ycreuHo Je
H3BoAHo HacraBy H3 flpeAMeray o6nacru paqyHapcK,x HayKa H NrareMarHKe Haoct-toBt'tL1MV Macrep cryAN.ianla
flpnpo4uo-uaTeMaTHLrKor $any,rrera y Hnury l(ao H HaCTaey y cneLILIja,
Ha ocuoey q,'laHa 75. 3axoHa o BrIcoKoM o6pa:oeamy ("C,ryxr6eun rracHr.{K peny6,rnxecp6nje", 6p.88120L7), uraHa 165. u 166. craryra yHusep3r4rera y Huruy (,,f,racuurrVunnep:urera y Hrzruy" 6p. Bl20l7)n utaaa 4.'n 5, [pasalHurca o rz3MeHaMa H AofiyHaMaflpaen,rHnrca o nocryflKy crr4uarba 3BaH,a 14 3acHHBarba paAHor oAHoca HacraBHHKaYuusepsnrera y Huruy (,,fracuurc Yuunep:nrera y Huuy" 6p. 312017), tr4z6opuo eehellprz po4Ho- MareM arr,rrr Kor $axy,rrera y H lr ruy AocraBJr,a
tr{:nerura.i
O u:6opy Apl4saua Crauurauponuha y 3Barre BaHpeAHH npocfecop
I
OqeHa pe3y!,rrara HayqHor, ucrpaxr{tsaq Kor,oAHOCHO, yMeTHHLTKOT- paAa r{aHAUAaTa :
ffp l/tear' CraHnurpoahh ce 6aarz uayryo-r.4crpaxzBaLi KkM paAoM y o6nactupaqyHapCKilx r,1 MareMarne{Vtx HayHa. O6jaeno je 2B HayLlHt4x paAoBa, 04 qera II yqaconhczMa xareropzja M2L, M22 u M23 (o4 rora 5 y M2r, 5 y M22 n 1. y M23),,rrne jeocrBapL4o 68 6o4oaa, oA qera 23 HaxoH r,tz6opa y 3BaFbe AolleHra. t4t.tao je 6 caonurert,a raHayqHtlM cKynoBZMa rrzrefyrapo4t'or A HaqhoHanHor:ravaja. Vvecroyje y peartneaqujuHayqHo-14crpaxzBaLiKor npojexra MNHrcrapcraa Hayxe z npocBere Peny6nuxe Cp|uje.KaH4r4ar je 4o ca4a capafrzoao ca npeKo 10 xoayropa h3 qenor cBera. Mareprzja xojyKaHAZAaT zcrpaNyje je eplo Mo4epHa vt uMa BeoMa :uavajte npzMeHe, a FberoBz HayqHr,4pe3ynrarr4 cy BrcoKo L{eFbeHZ y rvrefynapo4Hoj HayvHoj jaer_rocrrz.
II
tr4:aeuraj Beha rprapoAHo-MareMaruqKor Qarcyrrera je cacraau6 Aeo o4,ryrens6op lpVleaaa CraHuunposuha y 3Barbe BaHpeAHr4 npo$ecop.
flpegce4uarc I4s6opuor aehaflpn po4uo-MareM arHq Kor $arcylrera
ll pocb. Ip B,,raAr4 1\4 t4 p PaHfe,roauh
Ha ocuoay qJraHa 75.3axoua o Br4coKoM o6pa:osarsy ("C,ryrx6euu rJracHHK Peny6,rraxe
Cp6uje",6p.88/2017), u,raHa 165. u 166. Craryra VHraeep3nrera y Huuy (,,I_,racHrlrc
VHuaep:urera y Hrzuy" 6p. Bl20l7)u umaa 4. u 5. flpaeurul.rr<a o H3MeHaMa fi AorryHal4aflpaauruurca o nocrynKy crr4qa$a 3Bar-ba r{ 3acHr.rBalba paAHor- oAHoca HacraBHHKa
Yuuaep:nrera y Huruy (,,fracHurc YHueep:urera y Huruy" 6p, 312017), I4:6opHo aehe
flpupoano-MareMaruLrKor rlarcynrera y Huuy AocraBJba
tr'I:neurraj
O u:5opy,up I4eana Craur.nu.tpoeuha y 3Balle BaHpeAHH npocfecop
I
Ouena arrralmoBalba KaHAuAara y pa:nojy HacraBe H Apyrrrx aeJ]arHocruBIICOKOIII KO!'ICKe VCTa IIOBe:
Caoj 4onprHoc pa:eojy HacraBe v Apyrvtx AenarHocrh Ha [1prpo4Ho-rvrareMar/L]KoM
Qaxynrery y HrLuy v Ha ApytuM uuctwyqnjaMa, Ap ly'aaHfraHra^ rapoarah je 4ao caojrrvr aKrhBHr4M
yK/byqeFbeM y peQopnny cry4rja y cKnaAy ca 3axreBhMa Sororucxe p,exnapaqr,rje h aHryerHoT 3axoHa
o Br4coKoM o6pa:oaaruy. V:eo je aKrhBHo yveLuhe y peQoprurcaFby HacraBHhx npeAMera na xojrnnaje 6no aHraxoBaH Kao achcreHT il npeAaBaq, Aao je 4onpr,troc yaoferuy HoB14x HacraBHt,tx
cpeAcraBa, r Apyro.Caoj 4onprHoc pa:eojy Apyrhx AenarHocrh Ha [1prpo4Ho-MareMarh\.{xona $aNynrery y
HrLuy,4p 14saH CraHilrurapoarh je 4ao caojurvr aKrilBHr.4M yveLrhenn y cne4ehram opraHilMa
$a xynrera :
- llpe4ce4Hrx xonnrcNje aa cnpoaoferue nprajervrHor vicntra Ha OAC ParyHapcxe HayKe,
noqeBu14 oA rJHoncKe 2017 /2078. roAilHe- 9naH Aaofnnnvlcxe xorvrracraje [lprapo4Ho-nrareMarhqKor $axynrera y wx. 2017 1201-8.
toAVlH14
- 3auerrx npeACeAHhKa xorur.ro,rje sa cnpoooferue npr.rjerrnHor- ilcnhra Ha OAC PavyHapcxe
HayHe y wx.20L61201.7. rogunvt- I-lpoQecop 3a npeAMer uz o6nactvt paqyHapcrBa y cneqrajanraaoBaHoM oAe.rbeFby 3a
Ta.neHToBaHe MareMaruqape, [rruHaerja "Caeroaap Mapxoarh" y HrauLy, o4 01.09.2013.
II
tr4:neuraj Beha flpupoAHo-MareMaruqKor $arcy,rrera je cacraeHr4 Aeo Ogryrce :ar.r36op Ap I4naHa Crauuuuposuha y 3BaE,e BaHpeAHII nporpecop
fIpe4ce4u nrc 14:6opuor nehaflp r.r poauo-N{ areN4 arH rr Kor (rarcy,rrera
tlpo(l. Ap BnaAHMHp Paulle,ronnh
Ha ocHoey qJIaHa 75" 3arcona o BHcor(oM o6pa:oaamy ("C,ryx6enu r-JracHHK peny6,rurcecp6uje", 6p.8812017), unaua I65. u 166. craryra yuuaep3urera y HpuLy (,,l,racHnrcYunrepsnrera y HlrLry" 6p.812017)u utaaa 4. n 5. llpaen,runrca o il3MeHaMa H AorryHaMaflpanuluurca o nocrynKy cr,ua,oa 3Barba H 3acHHBa,oa paAHor oAHoca HacraBHHKaYHusep:nrera y Hr.rLuy (,,f,racuux YHusep:urera y Hr.rLry" 6p" 3lz0l7), vlz1opHo eetreflpupo4uo-MareM aru q Kor $arynrera y Hu uy locraBr,ba
I{:neruraj
O u:5opy Ap Zear-ra CraHuvapoauha y 3Barre BaHperHr4 npoipecop
I
Ouena pe3yJrrara rreAar-ouKor pana KaHAuAara:
Y ceoM AocaAaLllFbeM HacraBHo-neAarorxKoM pahy ap ly'eaH CraHhrvrrzpoer.rh je noxa:aoil3y3erHe pe3ynrare. Beoma ycneuJHo ie usaopuo npeAaBaFba ra aex6e v3Helonu\t4He npeAMera yo6nacrn paqyHapcKLlx HayKa h MareMarl4Ke Ha ocHoBH14M h Macrep aKaAeMcK14M cry4rajanra HaAenaprruaHy aa PavyHapcHe HayKe l-1pNpo4Ho-nareMarhLrHor Qaxynrera y Hnwy, Kao h HacraBy ycnequianuzoBaHrM oAe,rbeFbilMa 3a Ta.rreHroBaHe MareMarfiqape r raH$oprvrarhvape, lraguaaraje"CBeto3ap Mapxoarh" y HraLuy. Trarvre je creKao 3HarHo neAaroluHo l4cKycrBo r cnoco6uocr 3a paA yBhcoKotuKo.fl cxoj ycrauoo r.
II
I4:eeural Beha flprapoAHo-MareMarllLrKor $ar<y,rrera .ie cacranur,1 Aeo O4,ryxe :au:6op o u:6opy Apl4saua CraHuur.rpoenha y 3Barbe BaHpeAHlJ npo$ecop
flpe4ceguux 14:6opuor eeha[I p n po4Ho-M are ]\,r aru Lr Kor cltary,rrera
flpo$. Ap BnaAHMrlp PaHf e,rosuh
Ha ocHoay qJ'taHa 75. 3arroua o BHcoKoM o6pa:oaamy ("C,ryx6eHu rJracHr4r Peny6nurecp6uje",6p. 88/2017), u,raHa 165. n 166" craryra vnunep3r.rrera y Huury (,,f,racHurrYuunepsurera y Hnuy" 6p.812017)r,r utana 4" n 5. [IpaeurHnxa o ]l3N{eHaMa H ronyHaMaflpantl,ruura o flocryIKy crfiuarsa 3Barsa fi 3acHuBarba paAHor oAHoca HacraBHHr(aYHueepsurera y Huruy (,,l,racHnn YHueepsurera y Huuy" 6p. 312017), H:6opHo sehe[pu pogH o-rvr are M arr4 rr no r $axylrera y H ra uy AocraBJ.ba
tr{:neruraj
O usSopy Ap I4aana Crauunuposuha y 3BaH,e BaHpeAHr.r upo$ecop
I
Oqeua pe3yJlTara moje je KaHAIIAaT trocrrrrao y o6e:6e!uBarby HayqHo-rracrlBHor,oA HOC rrO yMeTH Il rt Ko- Ha cTa BH OI- IIOAIU,.IaTKa :
Y csoMl AocaAatxFbeM paAy y o6e:6efraaaruy Hayr.{Ho-HacraBHor noAMnarxa, Ap IABaHCraHrannrpoarh je noxaeao 4o6pe pe3ynrare. Srao je q.flaH KoM14oaje sa o46paHy Macrep paAa HaI-lprpo4Ho-tvlareMarr4L{KoM $axyrrery VHraeepsrrera y HraLuy. Srao je h npeACeAHzx xol,rrcrje eacnpoaoferue nprajemHor vcnvlra Ha OAC PavyHapcxe HayKe, noqeBtut4 oA r.gKoncKe 201,7 l1otg.roAilHe/ qnaH Ahct-ll4nrhHCKe xom[crje llprpo4uo-mareMarr4r]Kor Qaxyrrera y wx. 201,7/Z}tg.roAVHt4 h 3aMeHilK npeAceAHhHa xomrcrje aa cnpoaof erue nprajervl-ror ncnvra Ha OAC PavyuapcxeHayKe y wx.201-6/201.7. roguan.
II
tr4:aeruraj Beha flpupoAHo-r\,{areMaruLrKor $arcy,rrera .je cacranHu 4eo O4rryrce :au:6op Ap VIeaHa CraHuuupoenha y 3Balbe BaHpeAHH npo$ecop
flpelcelna rc tr4:6opnor eeha[I p n po4Ho-M areM arr.J rr Ko r cf arcy,rrera
flpo$. Ap B,laAuMtrp PaHleronuh
llrdlllill''U ' lil,tTi:llel fittitl tllAKyJl-thT . tJit[;
Iff.',0 rr *_. C.5 3 2019*,:.:-'-' : .-:-r-r: [.] :-) .l j I ,.,:l i,, r i Lpe:r.ccl
o4 48ol:Ha ocnony qrlaHa l2l Craryta IIM@-a o4pelenu cMo oAnyKoM AeKaHa 6p.20212-01 saqJraHoBe xouzcuje 3a Kareropvsaqujy pa.qoBa M2lA,}d2l,}d22 uM23 npujaereuuxRat4z,4ara sa us6op HacraBHI4Ka. Ha ocHoBy npl4noxeHe AoKlMeHTarIzje no.4Hocrarrro
cneAehr,t rasneruraj
)a:.4:.4:a::a:a::.;iat 1, :' :
;Eit:'it!1Vr21.,. -.
klsattCranuN,ruoosuh
0 3 6 3 63
Y npurory ce HaJra3e 6oAonanra paAoBr{.
YHutuy, 15. rraapr 2019.
?i :.1
ffifu*D*-" sr I
IIpo^Q., ap.I4sau MaHTen
\4. 3\^rkqy\,r3.r^LI i po$.{}. f op 4ylg Croj anbnuh
,*q4(@ffi^
Padoeu o6jaeneHu y epxyHcKurvr mefiynapoduuu qaconucuMa
(M21)
1. l. Stanimirovi6, M. Tasi(., Computotion of generolized inverses by using the LDL*
decomposition, Appl. Math. Lett. 25 (2012),526-53L.
http : //www.scie nced i rect.co m /scie ncela rticle/pi!1-50893 9659 1 1004630
2. P. Stanimirovii, D. Pappas, V. Katsikis, l. Stanimirovii, Full-rank representations of outer
inverses bosed on the QR decomposition, Applied Mathematics and Computation 21"8
(201.2),10321-10333.
http://www.sciencedire-c!.com/scieJce/a rtic-lelpii/S0096300312003943
3. P. Stanimirovii, l. Stanimirovi6, lmplementation of polynomiol multi-objective
optimization in MATHEMAIICA, Structural and Multidisciplinary Optimization 36(2008),
41,1-428.
htt p : /1 I i n k. s p ri n ge r. c-o m/a rt ic I e I 10. 1 007 %2 Fs00 1 5 8-00 7 -q1 80-9
Padoeu o6jaerueHu y ucmaKHymuM MebyHapoduurvrqaconucuMa (M22)
4. t. Stanimirovie, Computing At2)r,r lnverses of Hermitian Matrices via LDL* Decomposition
for o Square Motrix A, Linear and Multilinear Algebra 63:8 (2015), 1553-L567.
http://www.ta ndfo-n line.com/doi1a bs/10.1,080/03081087.2014.952897 ?io u rna lCode=el
ma2O
5. M. Tasii, l. Stanimirovii, Symbolic computation of Moore-Penrose inverse using the LDL*
decom position of the polynomiol matrix, Filomat 27 :8 (201'3), 1393-1403.
http://www-pm[.ni.ac.rslpmf/publikaciie/filomat/2013/27-8lF27-8-3.pdf 'l':
6. D. Pappas, V.N. Katsikis, l.P. Stanimirovii, Symbolic Computation of the Aluthge .
Tronsform, Mediteranean J. Math. (2017) L4:45. doi:10.1007/s00009-017-0862-5 l
https://link.springe r.coq /article/l-0.1007/s00009:01"7-0862-5 ,lfi;
7. M. Lukovic, V. Lukovic, l. Belca, B. Kasallca, l. Stanimirovic, M. Yicic, LED-bas€d Vis-NlR ',1,i;
spectrollytunablelightsource-theoptimizationolgorithm,JournaloftheEuropeanOptical Society-Rapid Publications (2016) 12-L9, DOI: 10.1186/s41.476-01.6-0021-9. :
https:/llin k.spri neer.com/a rticle/L0. 1 1861s41476-016-002 1"-9
8. J. Stefanovi6-Marinovii, M. Petkovii, l. Stanimirovi', Application of the ELECTRE Method
to Plonetory Gear Troin Aptimization, Journal of Mechanical Science and Technology 29
(2) (201s),647-6s4.
h tt n s : // I i n k. s p ri nse r. co m /a rti c I e110. 1007/s 1 2 206 -0 1 5 *Q!7 4 -z
.,t.',ii
':'i
i:.i'4
9. P. Stanimirovi6, D. Pappas, V. Katsikis, l. Stanimirovi{ Symbolic computotion of A(2)T;S-
inverses using QDR foctorizotion, Linear algibra Appl. 437 (2012), !317-133t.htto://citeseerx"ist. psu.ed u/viewdoc/doWn load ?doi=10. L.1.708.3011&rep=rep1&tvpe=
pdj
Padoeu o6jaeneHu y Me\yHapoduuu qaconucuMa (M23)
L0. Pappas, D., Katsikis, V., & Stanimirovic, l. (2018). Symbolic computation of the Duggal
transform. Journal of Linear and Topological Algebra (JLTA), 7(L),53-62.Online ISSN: 2345-5934 http://ilta.iauctb.ac.ir
11. J. Stefanovii Marinovii, M. Petkovii, I. Stanimirovi6, M. Milovandevi{ A model ofplanetory gear multicriteria optimization, Transactions of Famena 35:4 (2011), 21,-34.
h tt p : //f a m e n a. f s b. u n i zq. l]l. /f a m e n AJl h p ? I a n g = e n g&f a r.n e n a = 3 8
12. P. Stanimirovii, J. Nikolov, l. Stanimirovie, A generalizotion of Fibonacci ond Lucas
motrices, Discrete Applied Mathematics 156 (2008) ,2606-261,9.http://www.scie nced i rect.comlscie nce/a rticle/pii/S01662 18X07004957
fl P H P {.!r H rJ " I'J,qT E,T gT i4''i I ii CIA li y ilT ET' tt !1 Ui
IPrrPOAHO-MATEMATI{[IKI4 OAKyJITET v Hr{IIrv
II3EOPHOM BEh.Y
[aTa 29.05.2019. pacrucaH je ronnypc sa us6op je4nor HacTaBHHKa y
sBal5e AorIeHTa IIJIu BaHpegnor upoQecopa 3a yxy HayqHy o6lacr PAr{yHAPCKE
HAYKE.
Behe flenaprnlaHa ie, Ha ceAHI'Iqu o4pxanoj 04.06.2019. ro.4l{He,
.ie4nouacuo yrBpArrno cacraB Kouucuje 3a rlp[rpeMy lr3Belrrraja uo pacurcaHoM
KoHKypcy:a ur6op HacraBHIrKa, Ir ro: ,
1. np llpe4par Crauuuuponuh, pe4oauu npoSecop fIM@-a y Hrauy, 3a yxyHayqHy o6.nacr PAqyHAPCKE HAyKE.
2. Ap Mupoclae hmpuh, peAoBHI'I upo$ecop IIM@-a y Huuy, 3a yxy HayqHy
OSIACT PAI{YHAPCKE HAYKE,
3. gp lparau CreeaHoezh, HayqHt4 caBerHIrK Marel{aru.{Kot HHcrlrryra
CAHy, 3a yxy HayrIHy o6lacr MATEMATI4KA,
VnpanHur< .{enaprtraHa sa
parlyHapcKe HayKe
ld OF*"*l+4p Arercau4ap CrarueHKoeuh
V Huury 06.06.2019. roAI4He
,[enapruwan sa tPusuxY'
ilpup odu o'uameMamuuKtt Q arcynmem
Ytuoepsumem Y Huu,tY
Buure)padcxa 33, 18000 Huw, CPduja
http :i/www.fi zika.Pmf.ni.ac'rs
fi z i kainfo @P mf. ni. a c. r s
Ilpllpogno-MareMarlrqrcI'I OaxyJrrer y Hlruylls6opuoru nehY
flourroeanu,
DePartment of PhYsics
Faculty of Sciences and MathematicsUniversitY of Nii
Viiegradska 33, i,8000 Nii, Serbia
http:/iwww.fizika.Pmfi zi kainfo @Pmf. ni' a c' r s
Ha ceAuraq}r Beha fienapruaua 3a oI43I4Ky, oApxaHoj 2l'05'20L9' foAl4He', AoHera je ognyra
Aa ce npeArrox,r Kor,rracraja 3a rlucarLe ra:n#raja 3a I4;6op ABa acucreHra 3a VHO Teopajcxa
Susuxa I4 rIPI4MeHe, Y cacraBy:
l.ApHeHaAMurrojenuh,AoIIeHTflpr,rpo4rro-MaTeMaTplqKoroaKynTeTayHI4IIIy(yHoTiopuj cra $uaura I'I npI4MeHe), up e4ce4uI'IK KoMI'IoI4J e ;
2. Ap BJraAaH llarnonuh, AoUeHr [prpog,o-MareMarut{Kor OaKynrera y Huury (yHO
Gopujcxa (pueuxa I4 rplrMeHe), ulau;
3. Ap AneKcaH4pa ManyuKOB, Hayr{HI,l CaB9THI4K l4uctutyta3a HyKneapHe HayKe "BklHluAo'
(YHO TeoPnjcra tfusur<a), rulau'
Y Huruy, 04.06.2019. roAI'IHe yrrpaBHHK fienap'rntana 3a sll3]rKy
C"r* 6h**rpo$. AP Cama foqzh