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LIST DE IXCR1\lU PCBLICATE ;,)

Anexa 2

Candidatul ~i institutia Ia care lucreaza: Juliana Florentina latan, lector dr. mat Ia Departamentul de Matematica ~i Informatica, Universitatea Tehnica de Construqii Bucure~ti

Lista celor maximum 10 lucrari relevante pentru realizarilc profcsionalc ale candidatului:

1. V. Neagoe, I. Iatan: Face Recognition Using a Fuzzy-Gaussian Neural Network, Proceedings of First IEEE International Conference on Cognitin: Informatics, ICC! 2002, Calgary. Alberta. Canada. 361-368. DOl 10.11 09/COGINF.2002.1 039318.

2. V. Neagoe, I. Iatan: A Neuro-Fuzzy Approach to Face Recognition. Proceedings of 6th World Multiconference on Systemics. Cybernetics and lnf(Hmatics (SCI 2002). 14-18 July 2002. Orlando. Florida. vol. XIV. ISBN 9!W-07-8147-L 120-125.

3. V. Neagoe. I. Iatan. S. Grunwald. A Neuro- Fuzzy Approach to LCCi Signal Classification for Ischemic !!cart Disease Diagnosis. the American l'vlcdical Informatics Association Symposium (AM lA 2003 ). Nov. 8- 12 2003. Washington DC, ISBN 1-56053-640-3. 494-498. DOl: 14728222.

4. I. latan. Bayesian Classifier Based on the Multivariate Normal Distribution. Journal of Computational Analysis and Applications. I 0(2 ). 197-204. 2008.

5. I. Iatan. A Sequential Probability Ratio Test. Journal of Computational Analysis and Applications. 10(2). 139-146.2008.

6. I. Iatan, S. GiebeL A New Representation for the Fuzzy Systems. Operations Research Proceedings 2010. Springer. 207-212. 201 L DOl 10.1007/Y78-3-642-20009-0 33.

7. I. Iatan. A New Representation for the Fuzzy Systems in 1\.:rms of Some Additive and Multiplicative Subsystem Inferences. Journal of Computational Analysis and Applications. 2012. 14(1 ). 143- 164.

8. G. Anastassiou, I. Iatan. Modern Algorithms of Simulation for C1ctting Some Random Numbers. Journal of Computational Analysis and Applications. 15(7). 1211-1222.2013.

9. I. Iatan. A Concurrent Fuzzy Neural Net\vork Approach for a Fuzzy Gaussian Neural Network. 1Oth World Congress on Computational Mechanics (WCCJ\1 20 12), Blucher Mechanical Engineering Proceedings. Sao Paulo. 1 ( 1 ). 30 I~-3025. 2014, DOl: http:.-~dx.dL)i.orl'./1 tl515I /meceng-wccm '_()_L~_L~LLL~-

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1 0. G. Anastassiou, I. Iatan, A Recurrent Neural Fuzzy Net\vork, Journal of Computational Analysis and Applications, 20(2), 213-225, 2016.

!\. Teza sau tezele de doctorat:

A 1. I. Iatan, Sisteme neuro-fuzzy pentru recunoa~terea forme lor, prima teza de doctoral, Facultatea de Electronica. Telecomunicatii ~i Tehnologia lnformatiei­UPB, :2003, conducator ~tiintific: Prof. dr. ing.Yictor Neagoe.

A2. I. Iatan, Metode stat1st1ce pentru recunoa~terea fonnelnr. a doua tcza de doctoral, Facultatea de Matematica ~i Informatica. Universitatea Bucure~ti. 2008. conducator ~tiintific: Prof. dr. mat. Jon Vaduva.

C. Carti si capitole din carti:

Ca. uirj_i_jlfhiritc dt! t!dillll"i Ct!l?ll"<.dc:

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Cl.

C2.

C., J.

C4.

I. Iatan. Statistical Methods for Pattern Recognition. Lambert Academic Publishing AG& Co. KG. Saarbrlicken, Germany, 20 I 0, 168p. ISBN 97X-3-

8383-5147-6.

G. Anastassiou, I. Iatan. Intelligent Routines: Solving Mathematical Analysis with Matlab. Mathcad. Mathematica and Maple, Springer, 2012, 590p. ISBN

978-3-642-284 74-8.

I. Iatan. Advances Lectures on Linear Algebra with Applications, Lambert Academic Publishing AG& Co. KG, Saarbrlicken. Germany 2011. 346p. ISBN

978-3-8443-:2410-5.

G. Anastassiou, I. latan. Intelligent Routines II: Solving Linear Algebra and Differential Geometry with Sage. Springer, 2013. 318p. ISBN 97S-3-319-

01966-6.

I. latan, Issues in the use of Neural Networks in Information Retrieval. Springer, Studies in Computational Intelligence. in curs de puhlicare. 2016.

Cb. Lili1i lithtrilL' de lir)()gmfii !ucaLc (de instilu{ii):

C6.

C7.

C8.

. C9.

I. Toma. I. latan, Analiza numerica. Curs. aplicatii. algoritmi In pscudocod ~i programe de calcul. Ed. Matrix Rom, Bucure~ti. :2005. 40:2p. ISBN 971-685-

987-8.

I. latan. Curs de Algebra liniara. geometric analitid1 ~i diferentiala. Ed. Conspress. Bucurqti. 2009, 334p, ISBN 978-973-100-063-3.

I. latan, Jndrumator de laborator In Matlab 7.0. Ed. Consprcss, Bucure~ti.

:2009. 170p, ISBN 978-973-100-089-3.

I. latan, Curs de Access 20 I 0 cu aplicatii. Ed. Matrix Rom. Bucure~ti. 2010 .

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128p, ISBN 978-973-755-637-0.

C I 0. R. Trandafir. I. Iatan, Modelare- Simulare. Notiuni teoretice ~i Aplicatii", Ed. Conspress, Bucure~ti, 2013, 230p, ISBN 978-973-100-297-2.

C II. I. Ia tan, Comparatie lntre rnetodele statistice ~i sisternele neuro- fuzz~. din punct de vedere a! perforrnantelor acestora pentru aplicatii practice moderne de recunoa~tere a forme lor. Pror;ram postdoctoral pentru j(mnare cercetiitori in ,~tiinte Rapoarte ~tiint if ice finale. vo !urn curnulativ POSDR U/89/ I. 5/S/5885.2. 2013. pp. 72- 79. Ed. Universitatii Bucurqti, ISBN 978-606-16-0254-4.

C 12. I. latan, R. Trandafir. Validating in Matlab of some Algorithms to Simulate some Continuous and Discrete Random Variables. Proceedings of Mathematics and Educational Symposium of Department of Mathematics and Computer Science. Technical University of Civil Engineering Bucharest ed. MatrixRorn. 67-72, 2014.

C 13. I. latan. B. Sebacher. Aplicatii de laborator In Mathematica ~i Mathcad. ed. Conspress. Bucure~ti, .20 14. ISBN 978-973-100-323-8.

C 14. I. Iatan. Predicting the Earthquake Magnitude from Seismicity Indicators using a Probabi listie Neural Network. The 13th Workshop of Scientific Communications. Department of Mathematics and Computer Science. Technical University of Civil Engineering Bucharest. ed. MatrixRom, 79-83. 2015.

D. Articolc/studii in extenso, publicate in reviste din tluxul ~tiintitic international principal:

D 1. I. Iatan, Bayesian Learning Approach: Gaussian Case. Analele llniversitajii Bucurqti, 55-64. 2005.

D2. I. latan, A Statistical Supervised Classification using a Perceptron Criterion Function. Acta l Jniversitatis Apulensis. Mathematics- Informatics. 11. I Ol-1 09, 2006.

D3. I. latan, An Unsupervised Sequential Algorithm for Pattern Recog_nition. Journal of Concrete and Applicable Mathematics. 5(3). 203-211. 2007.

D4. I. Iatan, On the Test Likelihood Ratio for Multivariate Normal Distribution Applied to Classification. Mathematical Modelling in Civil Engineering_. -t. 18-28. 2008.

05. I. Iatan, On the Generalized Test Likelihood Ratio for Multivariate Normal Distribution Applied to Classification. Journal of Concrete and Applicable Mathematics, 6(2), 145-152, 2008.

D6. I. latan, Sequential Decision Model tor Exponential Patkrns Recognition, Journal of Concrete and Applicable Mathematics, 8(2). 261-269. 2010.

~~

D7. I. Iatan, A New Approach of Statistical Hypothesis Verification. Journal of Concrete and Applicable Mathematics, 10(3-4), 151-158,2012.

DS. I. Iatan, J. K. Arora, Use and application of the External Databases for data organization and storage, International Journal of Mathematics Trends and Technology, 4(2), 16-20,2013.

E. Publicatii in extenso, aparute in lucrari ale principalelor conferinte internationale de specialitate: E I. V. Neagoe, I. Iatan: Face Recognition Using Fuzzy Neural Networks.

Proceedings of the IEEE International Conference COMMUNICATIONS 2002, 5-7 December 2002, Edited by Technical Military Academy, Bucharc-;t. 282-287, 2002.

E2. V. Neagoe, R. Ia tan, I. Iatan. A Fuzzy Gaussian Neural Approach to Prediction of Foreign Exchange Rates, Proceedings of the 30-th International Conference of the Military Tehnical Academy of Romania '·Modern Technologies in the 21-st Century'', 146- 152, Bucharest 6-7 November 2003.

E3. V. Neagoe. R. latan. I. Iatan, A Nonlinear Neuro-Fuzzy Model for Prediction of Daily Exchange Rates. Proceedings of World Automation Congress WAC'04 Seville, Spain, 17, 573-578, 2004.

E4. V. Neagoe, I. Iatan, Concurrent Fuzzy Nonlinear Perccptron Modules for Face Recognition. Proceedings of the IEEE International ( 'onfcrencc COMMUNICATIONS 2004, June 03- 05, 2004, Edited b) Technical Militar) Academy, Bucharest. 269-274, 2004.

E5. I. latan, Descent Procedures for Obtaining Linear Discriminant !·unctions. International Conference on Mathematics and Informatics, ICMI 45, Bac[nL September 18-20. 2006, 459-466.

E6. I. Iatan, The Pseudo- Code Algorithm Used for the Cubic Spline Interpolation. Proceedings of the Numerical Analysis and Approximation Theory, Cluj­Napoca, July 5-8, 2006, 229-237.

E7. I. Iatan, I. Popescu, A New Approach for Multiple Classifier Fusion, International Conference "Trends and Challenges in Applied Mathematics··. J unc 20-23. 2007, Bucharest, 224-227.

ES. I. Iatan, Iris Recognition by Non- Parametric Techniques, International Conference Trends and Challenges in Applied Mathematics. June 20-23. 2007. Bucharest 220-223.

E9. I. Iatan, The Expectation-Maximization Algorithm: Gaussian Case. Proceedings of 20 I 0 International Conference on Networking and Information Technology (ICNIT 20 I 0), Manila (Philippines), June 11-12, 20 I 0. lEE F. 590-593, DOl I 0.11 09/JCNIT.201 0.5508443.

F 10. I. Iatan, The Fisher's Linear Discriminant, 5th lntcrnaliPn:ll ( 'pn!\:rcncc 011

SGrt Mdhud:-: in ProbabilitY and Stati~tics. Spain. sep 2X- oct Ol. 20 I (L

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Advances in Intelligent and Soft Computing, Vol. 77, 345-352. Springer­Verlag, 2010, DOl 10.1 007/978-3-642-14746-3_ 43.

E 11. I. Iatan, A Fuzzy Non- Linear Perceptron based on Alpha Level Sets. Proceedings of The 14th Applied Stochastic Models and Data Analysis Conference, Ed. Edizioni ETS, 605- 612, 2011.

E 12. I. Iatan, Discriminant Functions for Multidimensional Normal Distribution, Lecture Notes in Engineering and Computer Science, IAENG. Vol. I. 281-284. 2011.

E 13. I. Iatan, Computational Intelligence Techniques with Modern Applications of Fuzzy Pattern Classification, Proceedings of the 11tJ International Conference on Applications of Statistics and Probability in Civil Engineering. 7iirich. Switzerland, 1-4 August, 20 I L CRC Press, Taylor & Francis Group. 2940-2946, 2011.

F 14. G. Anastassiou, I. Iatan. A new approach of a possibility function based neural network, Proceedings of the 3rJ International Conference on Applied Mathematics & Approximation Theory- AMAT 2015, May 28-31. 2015. Ankara- Turkey, Intelligent Mathematics II: Applied Mathcmatics and Approximation Theory, Vol. 441, seria Advances in lntclligcnt Systems and Computing, 139-150, Springcr, 2016.

F. Contracte:

F I. Program postdoctoral pentru form are cercetatori in ~tiintc. I D: POSDRU/89/1.5/S/58852 (201 0-2013). Titlul proicctului: ( 'omearu(ic intrc mctodc:/c statistice .)·i sistemcle neuro~fic::y din eunct de rcderc u/ performan(c!or accstora pentru ap!ica(ii practice rnodemc de rcczuwu.ytcrc u jormi:'lor.

F2. Stagiul postdoctoral nr. 1886/2012, dcrulat in perioada 01.04.2012-31.07.2012.

F3.

F4.

F5.

(Data)

1_9.05.2016

Ia Universitatea din Amsterdam. Olanda.

Stagiul postdoctoral nr. I 041 I /2012, derulat in 30.11.2012, Ia Universitatea din Amsterdam. Olanda.

Participarc conferinta internationala. ordin nr. cfectuiindu-se in perioada 06.07.20 I 1-08.07.20 I I, Engineering 2011 (WCE 2011 ), London. U.K.

perioada 0 I. I 0.2012-

2846/20 I I. dcplasarea Ia World Congress un

Participare confcrinta internationala, ordin nr. 284 7/201 I. dcplasan:a efectuandu-se In perioada 01.08.20 I 1-04.08.20 II. Ia I I th International Conference on Applications of Statistics and Probability in Civil Engineering (IC ASP 20 II), ETI-1 Zurich, Switzerland.

(Semnatura candidatului) I. ' ~)}'~· ' j, J

\J~. . <:

\~~ v

) Se considera categoriile de lucrari C. D ~i E dupa cum urm.:~va

C. CARTI SI CAPITOL£ DIN CARTI- scrieri puhlicate cuo anumitf11ematicC1

de intindere relativ mare. de tip : - ctllcgere si indrumare (cokqii de probkrnc -;au mctodologii pcntru al·tiv1latc:t <k bbnr:t!or

proiL·L·tarc de J.

-manual ( lucrare care cuprinde elementc de haza ale unci discipline de invflFlln[ml).

- monografic (studiu tehnicu- ~tiintific amplu asupra unui subicct) sau

- tratat (lucrare cu caracter deosebit in care sunt expuse melodic problemck fundurncntalc ale

unci discipline) care sc grupcad1 ?i rcspcctiv. se prczintti in ordinca:

(Ca)- dirti tiparite de edituri centrale (EDP. ET. EAR. etc.)

(Ch)- dtr\i tiparite de tipografii locale (de institutii).

D. ARTICOLE- expuneri scrisc cu caracter ~tiintific. de intindere relati\ n.:dusit.

pubiicate in revistc din tluxul international principal.

'

F. PCBUCATII - expuneri scrisc cu caractcr ~tiintific. de intindcre relati\

rL·dusft. puhlicate in \nlumelc unor manili:stari :;;tiintificc intcrnationak de

speeialitatc (congresc. conferin(e, simpozioane).

F. CONTRACTF - lueriiri tehnico-~tiin(ilicc. cfccluatc pcntru n allll!lli1fl

inc;titutic de catre institu(ia Ia care cste sa lariat candidatul ( se \ Pr ~peclllc:t

contractelc Ia care candidatul cste responsahil).

Ohsuvatii:

l11 llST:\ Dl LLCRARI PlJBI.ICi\TI ;.,e includ numai lun:lrik puhl1,:aie he

e'.rlud lucrttrilc :1tb1e in pnlCl'sarc Ia cditmi, in manuscns '><HI aile l11cn\n de lip

comunicCtri. rdl:rate tcmatice .. dc.L

l.a ficcare lucrare, dupa indicativul (DI. D2. etc.) se scriu in ordine:

- autorii (cu sublinicrea candidatului): - tirlul lucr[1rii respectiv editura ~i /sau alte clemente de localizarc trevi'itct ISSN r - paginilc. anul publidtrii

; in cadrul liec[Jrei grupe lucrarile se prezint[t cronolog1c.

4. Lucrarile reeditate care nu au adus contribu(ii lllli ale candidatului ~i lucrarea de

ban\ (iniliala) se inregistr.:a~:a sub acela~i indicativ. preci;fmdu-se Ia liecare

numarul de pagin i.

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