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1 MODEL Curriculum vitae Informaţii personale Nume/Prenume Iclănzan, David Andrei Cetăţenia Română Data şi locul naşterii Funcţia şi locul de muncă (universitatea, facultatea, catedra) Asistent universitar Universitatea Sapientia, Facultatea de Ştiinţe Tehnice şi Umaniste Târgu Mureş, Catedra de Inginerie Electrică Tg-Mureş, România Educaţie şi formare. Diploma obținute Doctorat în informatică conducător ştiinţific prof. univ. dr. Dumitru Dumitrescu, Universitatea Babeş-Bolyai, Facultatea de Matematică - Informatică. Cluj Napoca, România Certificat de absolvire a Departamentului pentru Pregătirea Personalului Didactic, Universitatea Tehnică din Cluj Napoca, România Diplomă de Master, Sisteme Inteligente, Universitatea Babeş-Bolyai, Facultatea de Matematică - Informatică. Cluj Napoca, România Licențiat în Informatică, Universitatea Sapientia, Facultatea de Ştiinţe Tehnice şi Umaniste Târgu Mureş, secţia Informatică. Tg-Mureş, România Experienţa profesională 2010 prezent Asistent universitar, Universitatea Sapientia, Facultatea de Ştiinţe Tehnice şi Umaniste Târgu Mureş, Catedra de Inginerie Electrică, Tg-Mureş, România Preparator, Universitatea Sapientia, Facultatea de Ştiinţe Tehnice şi Umaniste Târgu Mureş, Catedra de Inginerie Electrică, Tg-Mureş, România

2 Membru în cadrul proiectului Problems of efficient skeletonization using variable shaped spatial objects, finanțat de Sapientia KPI, Cluj-Napoca, Director de proiect: Dr. Ing. Szilágyi Sándor Miklós Membru în cadrul proiectului 3D Modelling of the Geometry and Dynamics of the Right Ventricle, finanțat de Sapientia KPI, Cluj-Napoca, Director de proiect: Dr. Ing. Szilágyi Sándor Miklós Membru în cadrul proiectului New Computational Paradigms for Dynamic Complex Problems, grant CNCSIS IDEI-508, Director de proiect: prof. Dr. D. Dumitrescu Membru în cadrul proiectului Natural Computation in the Study of Complexity and the Solving of Complex Systems Related Problems, grant CNMP PC-2120, Director de proiect: prof. Dr. D. Dumitrescu Membru în cadrul proiectului Developing Robust Heart Modells, finanțat de Sapientia KPI, Cluj-Napoca, Director de proiect: prof. Dr. Ing. Dávid László Membru în cadrul proiectului New Models of Nature Inspired Computation. New Paradigms and Metaheuristics. Real-world Applications, grant CNCSIS A-1477, Director de proiect: prof. Dr. D. Dumitrescu Membru în cadrul proiectului Real-time Heart Modeling and Quick DNS Processing via Modern Parallel Computing Methods, finanțat de Sapientia KPI, Cluj-Napoca, Director de proiect: Dr. Attila Frigy Membru în cadrul proiectului Study of Some Elliptic Problems via Critical Points Theory, grant CNCSIS AT- 8/70, Director de proiect: Dr. Alexandru Kristály Membru în cadrul proiectului Solving Variational Calculus Problems Using Non-Linear Analysis Techniques, finanțat de Sapientia KPI, Cluj-Napoca, Director de proiect: prof. Dr. Csaba Varga. Alte funcţii deţinute (nedidactice) mai 2005 mai 2006, programator BIT FACTORY S.R.L Limbi străine cunoscute Nivel vorbit/scris Engleză avansat/avansat Franceză mediu/mediu

3 Activitatea didactică (cursuri, seminarii, lucrări practice conduse) Laboratoare la materiile: Programare în limbaj de asamblare, Baze de date, Tehnici de căutare şi optimizare I, Cercetări operaţionale, Grafică asistată de calculator, Modelare şi simulare, Grafică asistată de calculator, Algoritmi Paraleli și Distribuiți, Probabilități și Statistică. Activitatea de cercetare Postoctorand POSDRU/89/1.5/s/60189, RON Director de proiect: Parallel, Distributed, Model Based Simulated Annealing, finanțat de Sapientia KPI, 8000 EUR Grant CNCSIS TD-61, titlu proiect: New Techniques in Competent Search and Optimization, RON Bursă de cercetare BCAN, University of Fribourg, Pervasive Artificial Intelligence Group, Elveția, titlu proiect: Automatic Model Building for Competent Optimization, CHF Bursă CNCSIS BD-173, RON 2011 Best Paper Award, Estimation of Distribution Algorithms track at Genetic and Evolutionary Computation Conference (GECCO 2011) Membru în organizaţii ştiinţifice şi profesionale IEEE Computational Intelligence Society (din 2007) ACM - Special group for Genetic and Evolutionary Computation (din 2007) Membru în colective de redacţie Nu este cazul.

4 MODEL Lista de lucrări în domeniul de ştiinţă definit de disciplinele din postul scos la concurs NUMELE ŞI PRENUMELE: Iclănzan David Andrei I. LISTA PUBLICAȚIILOR RELEVANTE D. Iclanzan, Hierarchical allelic pairwise independent functions, Proceedings of the Genetic and evolutionary computation (GECCO 2011), Dublin, Ireland, ACM, 2011, pp Best paper award. D. Iclanzan and D. Dumitrescu. Graph clustering based model building. In Robert Schaefer, Carlos Cotta, Joanna Kolodziej, and Günter Rudolph, editors, Parallel Problem Solving from Nature PPSN XI, volume 6238 of Lecture Notes in Computer Science, pages Springer Berlin / Heidelberg, D. Iclanzan, D. Dumitrescu, and B. Hirsbrunner. Pairwise Interactions Induced Probabilistic Model Building. Exploitation of Linkage Learning in Evolutionary Algorithms, pages , D. Iclanzan, D. Dumitrescu, and B. Hirsbrunner. Correlation guided model building. In GECCO 09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages , New York, NY, USA, 8-12 July ACM. D. Iclanzan, B. Hirsbrunner, M. Courant, and D. Dumitrescu. Cooperation in the context of sustainable search. In IEEE Congress on Evolutionary Computation (IEEE CEC 2009), pages , Trondheim, Norway, May D. Iclanzan and D. Dumitrescu. Large-scale optimization of non-separable buildingblock problems. In Günter Rudolph, Thomas Jansen, Simon M. Lucas, Carlo Poloni, and Nicola Beume, editors, PPSN, volume 5199 of Lecture Notes in Computer Science, pages Springer, D. Iclanzan and D. Dumitrescu. Overcoming hierarchical difficulty by hill-climbing the building block structure. In Dirk Thierens et al., editor, GECCO 07: Proceedings of the 9th annual conference on Genetic and Evolutionary Computation, volume 2, pages , London, 7-11 July ACM Press. II. LISTA COMPLETĂ DE PUBLICAȚII, CREAȚII, INVENȚII A. Teza de doctorat. Titlul tezei: New Techniques in Competent Search and Optimization, conducător Prof. Dr. Dumitru Dumitrescu, Universitatea Babeș-Bolyai din Cluj-Napoca, 2010 B. Cărti publicate

5 B1. Cărţi (manuale, monografii, tratate, îndrumare etc.) publicate la edituri recunoscute în străinătate. B2. Cărţi (manuale, monografii, tratate, îndrumare etc.) publicate în ţară, la edituri recunoscute CNCSIS. D. Iclanzan, New Techniques in Competent Search and Optimization, Editura Didactică şi Pedagogică, București, 160 pagini, 2010, ISBN: B3. Cărţi (manuale, monografii, tratate, îndrumare etc.) publicate la alte edituri sau pe plan local. B4. Cărţi (manuale, monografii, tratate, îndrumare etc.) publicate pe web. B5. Capitole de cărţi publicate în străinătate D. Iclanzan, D. Dumitrescu, and B. Hirsbrunner. Pairwise Interactions Induced Probabilistic Model Building. Exploitation of Linkage Learning in Evolutionary Algorithms, Springer, pages , B6. Capitole de cărţi publicate în ţară C. Lucrări ştiinţifice publicate C1. Lucrări ştiinţifice publicate în reviste cotate ISI S. M. Szilágyi, L. Szilágyi, D. Iclanzan L. Dávid, A. Frigy, Z. Benyó: Intensity inhomogeneity correction and segmentation of magnetic resonance images using a multi-stage fuzzy clustering approach. Neural Network World 19(5): , 2009, ISSN , IF: C2. Lucrări ştiinţifice publicate în reviste indexate în baze de date internaţionale (indicaţi şi baza de date). D. Iclanzan, R. I. Lung, A. Gog, and C. Chira. Evolutionary Computing in the Study of Complex Systems. Studia Informatica series, LVI(1):80 94, (Indexat de MathSciNet (American Mathematical Society), Zentralblatt MATH (European Mathematical Society), EBSCO Publishing, Ulrichs). C Chira, A. Gog, R. I. Lung, and D. Iclanzan. Complex Systems and Cellular Automata Models in the Study of Complexity. Studia Informatica series, LV(4):33 49, (Indexat de MathSciNet (American Mathematical Society), Zentralblatt MATH (European Mathematical Society), EBSCO Publishing, Ulrichs). C3. Lucrări ştiinţifice publicate în reviste din străinătate (altele decât cele menţionate anterior). C4. Lucrări ştiinţifice publicate în reviste din ţară, recunoscute CNCSIS (altele decât cele din baze de date internaţionale). S. M. Szilágyi, L. Szilágyi, D. Iclanzan and Z. Benyó. Unified neural network-based adaptive ECG signal analysis and compression, SB-UPT TACCS, 56(65)(4):27 36, C5. Lucrări ştiinţifice publicate în reviste, altele decât cele menţionate anterior C6. Lucrări ştiinţifice publicate în volumele manifestărilor ştiinţifice

6 D. Iclanzan, Higher-Order Linkage Learning in the ECGA. In GECCO 12: Proceedings of the 14th Annual conference on Genetic and evolutionary computation, Philadelphia, USA, July ACM. (accepted) D. Iclanzan, N. Gaskó, and D. Dumitrescu, Evolving Mixed Nash Equilibria for Bimatrix Games. In GECCO 12: Proceedings of the 14th Annual conference on Genetic and evolutionary computation, Philadelphia, USA, July ACM. (accepted) D. Iclanzan, C. Chira. Cooperation in the context of sustainable search. In 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI 2012), Brisbane, Australia, June 2012 (accepted). D. Iclanzan, A. Gog, and C. Chira. Enhancing the computational mechanics of cellular automata. In David Alejandro Pelta, Natalio Krasnogor, Dan Dumitrescu, C. Chira, and Rodica Ioana Lung, editors, NICSO, volume 387 of Studies in Computational Intelligence, pages Springer, L. Szilágyi, S. M. Szilágyi, D. Iclanzan, and Lehel Szabó. Efficient 3d curve skeleton extraction from large objects. In César San Martín and Sang-Woon Kim, editors. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, Proceedings, volume 7042 of Lecture Notes in Computer Science, pages , Springer, L. Szilágyi, D. Iclanzan, L. Craciun, and S. M. Szilágyi. An efficient approach to intensity inhomogeneity compensation using c-means clustering models. In César San Martín and Sang-Woon Kim, editors. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 16th Iberoamerican Congress, CIARP 2011, Pucón, Chile, November 15-18, Proceedings, volume 7042 of Lecture Notes in Computer Science, pages , Springer, D. Iclanzan, P. I. Fülöp, C. Chira, and A. Gog. Towards the efficient evolution of particle-based computation in cellular automata. In GECCO 11: Proceedings of the 13th Annual conference on Genetic and evolutionary computation, pages , New York, NY, USA, July ACM. D. Iclanzan. Hierarchical allelic pairwise independent functions. In GECCO 11: Proceedings of the 13th Annual conference on Genetic and evolutionary computation, pages , New York, NY, USA, July ACM. D. Iclanzan, R. I. Lung, A. Gog, and C. Chira. Evolutionary Computing in the Study of Complex Systems. Studia Informatica series, LVI(1):80 94, D. Iclanzan and Dumitru Dumitrescu. Graph clustering based model building. In Robert Schaefer, Carlos Cotta, Joanna Kolodziej, and Gьnter Rudolph, editors, Parallel Problem Solving from Nature PPSN XI, volume 6238 of Lecture Notes in Computer Science, pages Springer Berlin / Heidelberg, Sandor M. Szilagyi, Laszlo Szilagyi, D. Iclanzan, and Z. Benyo. A weighted patient specific electromechanical model of the heart. In Proc. 5th International Symposium on Applied Computational Intelligence and Informatics (SACI 2009), pages , Timisoara, Romania, May 2009.

7 L. Szilágyi, D. Iclanzan, S. M. Szilágyi, D. Dumitrescu, and B. Hirsbrunner. A generalized c-means clustering model optimized via evolutionary computation. In IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 09, Jeju Island, Korea), pages , D. Iclanzan, D. Dumitrescu, and Béat Hirsbrunner. Correlation guided model building. In GECCO 09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages , New York, NY, USA, 8-12 July ACM. D. Iclanzan, B. Hirsbrunner, M. Courant, and D. Dumitrescu. Cooperation in the context of sustainable search. In IEEE Congress on Evolutionary Computation (IEEE CEC 2009), pages , Trondheim, Norway, May L. Szilágyi, D. Iclanzan, S. M. Szilágyi, and D. Dumitrescu. Gecim: A novel generalized approach to c-means clustering. In José Ruiz-Shulcloper and Walter G. Kropatsch, editors, CIARP, volume 5197 of Lecture Notes in Computer Science, pages Springer, D. Iclanzan and D. Dumitrescu. Large-scale optimization of non-separable buildingblock problems. In Günter Rudolph, Thomas Jansen, Simon M. Lucas, Carlo Poloni, and Nicola Beume, editors, PPSN, volume 5199 of Lecture Notes in Computer Science, pages Springer, D. Iclanzan and D. Dumitrescu. Going for the big fishes: Discovering and combining large neutral and massively multimodal building-blocks with model based macro-mutation. In GECCO 08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages , Atlanta, GA, USA, ACM. D. Iclanzan and D. Dumitrescu. Towards memoryless model building. In GECCO 08: Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation, pages , Atlanta, GA, USA, ACM. D. Iclanzan and D. Dumitrescu. How can artificial neural networks help making the intractable search spaces tractable. In 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), pages , Hong-Kong, June D. Iclanzan and D. Dumitrescu. Overrepresentation in neutral genotype-phenotype mappings and their applications. In Symbolic and Numeric Algorithms for Scientific Computing, SYNASC. International Symposium on, pages , Timisoara, Romania, September IEEE Computer Society. D. Iclanzan, P.I. Fulop, and D. Dumitrescu. Neuro-Hill-Climber: A new approach towards more intelligent search and optimization. In Symbolic and Numeric Algorithms for Scientific Computing, SYNASC. International Symposium on, pages , Timisoara, Romania, September IEEE Computer Society. D. Iclanzan. The creativity potential within Evolutionary Algorithms. In Fernando Almeida e Costa et al., editor, Advances in Artificial Life, 9th European Conference, ECAL 2007, Lisbon, Portugal, September 10-14, 2007, Proceedings, volume 4648 of Lecture Notes in Computer Science, pages Springer, 2007.

8 D. Iclanzan. Crossover: the divine afflatus in search. In Peter A. N. Bosman, editor, Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO 2007), pages , London, United Kingdom, 7-11 July ACM Press. D. Iclanzan and D. Dumitrescu. Overcoming hierarchical difficulty by hill-climbing the building block structure. In Dirk Thierens et al., editor, GECCO 07: Proceedings of the 9th annual conference on Genetic and Evolutionary Computation, volume 2, pages , London, 7-11 July ACM Press. D. Iclanzan and D. Dumitrescu. Exact model building in Hierarchical Complex Systems. In Studia Universitatis Babes-Bolyai, Informatica Series, volume Special Issue: KEPT Knowledge Engineering: Principles and Techniques, Proceedings, pages , Cluj-Napoca, Romania, 6-8 June Universitas Napocensis, Presa Universitara. D. Iclanzan, Sandor M. Szilagyi, Laszlo Szilagyi, and Z. Benyo. Advanced heuristic methods for ECG parameter estimation. In CONTI 2006: Proceedings of the 7th International Conference on Technical Informatics, pages , Timisoara, Romania, 8-9 June Universitatea Politechica. Sandor M. Szilagyi, Laszlo Szilagyi, D. Iclanzan, and Z. Benyo. Adaptive ECG signal analysis for enhanced state recognition and diagnosis. In CONTI 2006: Proceedings of the 7th International Conference on Technical Informatics, pages , Timisoara, Romania, 8-9 June Universitatea Politechica. L. Szilagyi, S. M. Szilagyi, D. Iclanzan, and Z. Benyo. Quick ECG signal processing methods for on-line holter monitoring systems. In CONTI 2006: Proceedings of the 7th International Conference on Technical Informatics, pages , Timisoara, Romania, 8-9 June Universitatea Politechica. D. Iclanzan and D. Dumitrescu. ECG parameter estimation using advanced stochastic search methods. In Dorin Isoc and Eugen Stancel, editors, 2006 IEEE-TTTC International Conference on Automation, Quality and tesing, Robotics. Digest of Junior Section, pages 17 22, Cluj-Napoca, Romania, May Universitatea Technica Cluj. D. Traduceri de cărţi, capitole de cărţi, alte lucrări ştiinţifice E. Editare, coordonare de volume F. Brevete de invenții și alte titluri de proprietate G. Contracte de cercetare (menţionaţi calitatea de director sau membru) Postoctorand POSDRU/89/1.5/s/60189, RON Director de proiect: Parallel, Distributed, Model Based Simulated Annealing, finanțat de Sapientia KPI, 8000 EUR Director de proiect grant CNCSIS TD-61, titlu proiect: New Techniques in Competent Search and Optimization, RON

9 Beneficiar bursă de cercetare BCAN, University of Fribourg, Pervasive Artificial Intelligence Group, Elveția, titlu proiect: Automatic Model Building for Competent Optimization, CHF Beneficiar bursă CNCSIS BD-173, RON Membru în cadrul proiectului Problems of efficient skeletonization using variable shaped spatial objects, finanțat de Sapientia KPI, Cluj-Napoca, Director de proiect: Dr. Ing. Szilágyi Sándor Miklós Membru în cadrul proiectului 3D Modelling of the Geometry and Dynamics of the Right Ventricle, finanțat de Sapientia KPI, Cluj-Napoca, Director de proiect: Dr. Ing. Szilágyi Sándor Miklós Membru în cadrul proiectului New Computational Paradigms for Dynamic Complex Problems, grant CNCSIS IDEI-508, Director de proiect: prof. Dr. D. Dumitrescu Membru în cadrul proiectului Natural Computation in the Study of Complexity and the Solving of Complex Systems Related Problems, grant CNMP PC-2120, Director de proiect: prof. Dr. D. Dumitrescu Membru în cadrul proiectului Developing Robust Heart Modells, finanțat de Sapientia KPI, Cluj-Napoca, Director de proiect: prof. Dr. Ing. Dávid László Membru în cadrul proiectului New Models of Nature Inspired Computation. New Paradigms and Metaheuristics. Real-world Applications, grant CNCSIS A-1477, Director de proiect: prof. Dr. D. Dumitrescu Membru în cadrul proiectului Real-time Heart Modeling and Quick DNS Processing via Modern Parallel Computing Methods, finanțat de Sapientia KPI, Cluj- Napoca, Director de proiect: Dr. Attila Frigy Membru în cadrul proiectului Study of Some Elliptic Problems via Critical Points Theory, grant CNCSIS AT-8/70, Director de proiect: Dr. Alexandru Kristály Membru în cadrul proiectului Solving Variational Calculus Problems Using Non-Linear Analysis Techniques, finanțat de Sapientia KPI, Cluj-Napoca, Director de proiect: prof. Dr. Csaba Varga. H. Creaţia artistică H1 Participări la manifestaţii artistice internaţionale H2. Participări la manifestaţii artistice naţionale H3. Expoziţii, filme, spectacole, concerte, discuri de autor, opere internaţionale H4. Expoziţii, filme, spectacole, concerte, discuri de autor, opere naţionale

10 H5. Produse cu drept de proprietate intelectuală în domeniul artistic III. RECUNOAȘTEREA I. Premii, distincţii. Best Paper Award, Estimation of Distribution Algorithms track at Genetic and Evolutionary Computation Conference (GECCO 2011, Dublin, Ireland) J. Citări D. Iclanzan and D. Dumitrescu. Overcoming hierarchical difficulty by hill-climbing the building block structure. In Dirk Thierens et al., editor, GECCO 07: Proceedings of the 9th annual conference on Genetic and Evolutionary Computation, volume 2, pages , London, 7-11 July ACM Press. Watson, R.A., Mills, R., Buckley, C.L. Transformations in the scale of behavior and the global optimization of constraints in adaptive networks, (2011) Adaptive Behavior, 19 (4), pp Watson, R.A., Mills, R., Buckley, C.L. Global adaptation in networks of selfish components: Emergent associative memory at the system scale (2011) Artificial Life, 17 (3), pp Watson, R.A., Buckley, C.L., Mills, R. Optimization in "self-modeling" complex adaptive systems (2011) Complexity, 16 (5), pp Yu, T.-L., Goldberg, D.E., Sastry, K., Lima, C.F., Pelikan, M. Dependency structure matrix, genetic algorithms, and effective recombination (2009) Evolutionary Computation, 17 (4), pp Cited 9 times. D. Iclanzan and D. Dumitrescu. How can artificial neural networks help making the intractable search spaces tractable. In 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), pages , Hong-Kong, June Watson, R.A., Mills, R., Buckley, C.L. Global adaptation in networks of selfish components: Emergent associative memory at the system scale (2011) Artificial Life, 17 (3), pp K. Alte realizări semnificative. Data, Semnătura,

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