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FullName:
Assoc. Prof.Petia Koprinkova-Hristova
Nationality:
Bulgarian
Office Address:
Acad. G.Bonchev Str., bl.25 A, 1113 Sofia, Bulgaria
Phone:
(+359 2) 979 66 22
Fax:
(+359 2) 870 72 73
E-mail:
pkoprinkova@bas.bg

EDUCATION

  • University Degree: MSc in Biotechnics, Technical University, Sofia, Bulgaria, 1989
  • PhD: Process Automation (“Training and Stability of the Intelligent Control Systems with Application to Biotechnological Processes”), Bulgarian Academy of Sciences, 2001
  • Languages: English, Russian
  • Computer Skills: C++, Fortran, Basic, Matlab

    • PROFESSIONAL RECORDS

  • Associate Professor in Process Automation at the Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 2012 - present
  • Associate Professor in Process Automation at the Institute of System Engineering and Robotics, Bulgarian Academy of Sciences, 2010 - 2011
  • Associate Professor in Process Automation at the Institute of Control and System Research, Bulgarian Academy of Sciences, 2003 - 2010
  • Research Fellow in Process Automation at the Institute of Control and System Research, Bulgarian Academy of Sciences, 1995 - 2003
  • Engineer in Biotechnics at the Institute of Control and System Research, Bulgarian Academy of Sciences, 1994 - 1995
  • Engineer in Biotechnics at the Central Laboratory of Bioinstrumentation and Automation, Bulgarian Academy of Sciences, 1989 - 1994

    • FIELDS OF RESEARCH

  • Neural Networks
  • Fuzzy Sets
  • Intelligent Control and Optimization
  • Automatic Control Theory
  • Nonlinear Processes Control (Biotechnological Processes Control)

    • Editorial Boards

  • Automatica and Informatics, Official publication of the Bulgarian John Atanasoff Society of Automatic and Informatics
  • Frontiers in Computational Neuroscience – review editor

    • Membership in Scientific Organizations

  • European Neural Network Society (ENNS), executive committee elected member for 2011-2016
  • IFAC CC 3 - Computers, Cognition and Communication, TC 3.2. Computational Intelligence in Control
  • Union of Matematitians in Bulgaria
  • Bulgarian Union of Automatic and Informatics

    • Teaching

  • Invited lecturer on “Process Control and Production Automation”, Technical University of Sofia, branch Plovdiv

    • RESEARCH PROJECTS

  • AComIn: Advanced Computing for Innovation, FP7 Capacity Programme, Research Potential of Convergence Regions, 2012-2015
  • “Algorithms for preliminary processing of spectral data and images obtained via distance measurements”, joint research project with partners IICT – BAS and Inst. of Space Research - BAS, Bulgarian Science Fund, grant No DFNI – I01/8, 2012 - 2014.
  • “Predictive support of technological equipment aimed at diagnostics and risk analysis”, joint research project with partners IICT – BAS and UCMT, Bulgarian Science Fund, grant No DVU-10-0267/10, 2010 - 2014.
  • “Characteristics Modelling and Composition Optimization of Iron-based Alloys used in Machine-Building Industry”, Bulgarian Science Fund, grant No DDVU 02/11, 2011 – work package leader.
  • “Advanced Intelligent Control in Chemical and Bio-chemical Industries”, joint research project with partners ISER – BAS and Petroleum – Gas University of Ploiesti, 2010 – 2012 – project leader.
  • “Increasing the Efficiency of Bio-fuel Purpose Ethanol Production”, Bulgarian Science Fund, grant No DVU 02/27 from 2009.
  • “Biologically Inspired Reinforcement Learning in Artificial Neural Networks for the Control of Complex Systems”, project funded by DFG No PA 268/24-1, 2009 – project leader.
  • “Control of Mixed Culture Fermentations in Biochemical and Food Industries”, Bulgarian Science Fund, grant No TN 1509/2005 – project co-leader.
  • “Modelling and Control of Fermentation Processes Taking the Memory Effect into Account”, Bulgarian Science Fund, grant No SRTS 428/1994.
  • “Modelling and Optimization of Biotechnological Processes in Food Industry”, Bulgarian Science Fund, grant No CC338/1993.
  • “Control Theory Development aimed at Microbial Synthesis Control”, Bulgarian Science Fund, grant No TN149/1991.
  • “New Methods for Control of Fermentation Processes”, Bulgarian Science Fund, grant No 512/1987.

    • LIST OF SELECTED PUBLICATIONS

    (For full list click here )

    Edited books and special journal issues

  • Springer Series in Bio-/Neuroinformatics, Volume 4, 2015, Artificial Neural Networks, Methods and Applications in Bio-/Neuroinformatics, Editors: Petia Koprinkova-Hristova, Valeri Mladenov, Nikola K. Kasabov, ISBN 978-3-319-09902-6 (Print), 978-3-319-09903-3 (Online); DOI 10.1007/978-3-319-09903-3
  • Studies in Computational Intelligence, Volume 561, 2014, Innovations in Intelligent Machines-5, Computational Intelligence in Control Systems Engineering, Editors: Valentina Emilia Balas, Petia Koprinkova-Hristova, Lakhmi C. Jain, ISBN 978-3-662-43369-0 (Print), 978-3-662-43370-6 (Online); DOI 10.1007/978-3-662-43370-6
  • Artificial Neural Networks and Machine Learning - ICANN 2014, 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings, Series: Lecture Notes in Computer Science, Vol. 8681, Subseries: Theoretical Computer Science and General Issues, Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P., Magg, S., Palm, G., Villa, A.E.P. (Eds.), 2014, XXVI; ISBN 978-3-319-11179-7; DOI 10.1007/978-3-319-11179-7
  • Int. J. Reasoning-based Intelligent Systems, Vol. 6, Nos. 3/4, 2014, SPECIAL ISSUE: INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS, Guest Editors: Assoc. Professor Petia Koprinkova-Hristova, Assoc. Professor Kiril Alexiev and Professor Tulay Yildirim; ISSN online 1755-0564, ISSN print 1755-0556; DOI 10.1504/IJRIS.2014.066***
  • Artificial Neural Networks and Machine Learning - ICANN 2013, 23th International Conference on Artificial Neural Networks, September 10-13, Sofia, Bulgaria, Proceedings, Series: Lecture Notes in Computer Science, Subseries: Theoretical Computer Science and General Issues, Vol. 8131, Mladenov, V., Koprinkova-Hristova, P., Palm, G., Villa, A.E.P., Apoloni, B., Kasanov, N. (Eds.), ISBN: 978-3-642-40727-7, DOI 10.1007/987-3-40728-4
  • 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), Proceedings, ISBN: 978-1-4799-0661-1, IEEE Catalog Number: CFP1372N-ART, Support: P. Koprinkova-Hristova and K. Alexiev

    • Papers in impact factor journals:

  • Bozhkov, L., Koprinkova-Hristova, P., Georgieva P., Learning to decode human emotions with Echo State Networks, Neural Networks, 2015 Special Issue, Available online 7 September 2015; DOI:10.1016/j.neunet.2015.07.005
  • Oubbati, M., Kord, B., Koprinkova-Hristova, P., Palm, G., Learning of embodied interaction dynamics with recurrent neural networks: Some exploratory experiments, Journal of Neural Engineering, vol.11, issue 2, April 2014, Article number 026019; DOI 10.1088/1741-2560/11/2/026019; IF 2013: 3.415
  • Koprinkova-Hristova, P., Oubbati, M., Palm, G. , Heuristic dynamic programming using echo state network as online trainable adaptive critic, International Journal of Adaptive Control and Signal Processing, vol.27, Issue 10, pp.902–914, October 2013.
  • Kostov, G., Popova, S., Gochev, V., Koprinkova-Hristova, P., Angelov, M., Georgieva, A., Modeling of batch alcohol fermentation with free and immobilized yeasts Sacharomyces cerevisiae 46 EDV, Biotechnology and Biotechnological Equipment, 2012, vol.26(3), pp.3021-3030.
  • Koprinkova-Hristova, P., Backpropagation through time training of a neuro-fuzzy controller, International Journal of Neural Systems, vol.20, No5, 2010, pp.421-428.
  • Koprinkova-Hristova, P., Knowledge-based Approach to Control of Mixed Culture Cultivation for PHB Production Process, Biotechnology and Biotechnological Equipment vol.22(4), 2008, pp.964-967.
  • Koprinkova-Hristova, P., Patarinska, T., Neural Network Software Sensors Design for Lysine Fermentation Process, Applied Artificial Intelligence, vol.22, No3, March 2008, pp.235-253.
  • Koprinkova-Hristova, P., Patarinska, T., Neural Network Modelling of Continuous Microbial Cultivation Accounting for the Memory Effects, Int. J. of Systems Science, vol.37, No15, 2006, pp.271-277.
  • Koprinkova, P., Patarinska, T., Petrova, M., 2004, Memory Effects Description by Neural Networks with Delayed Feedback Connections, International Journal of Intelligent Systems, Special Issue: Recent Developments in Intelligent Systems, Vol. 19, Issue 4, April 2004, pp. 341-351 (presented also at the First Int. IEEE Symp. Intelligent Systems, Sept. 10-12, 2002, Varna, Bulgaria, vol. I, pp.277-282).
  • Popova, S., Koprinkova, P., Patarinska, T., Neural Network Based Biomass and Growth Rate Estimation Aimed to Control of a Chemostat Microbial Culture, Applied Artificial Intelligence: An International Journal, vol.17, No 4, 2003, pp.345-360.
  • Koprinkova, P., Membership Functions Shape and Its Influence on the Stability of Fuzzy Control Systems, Cybernetics and Systems: An International Journal, vol.31, No4, 2000, pp.353-372.
  • Koprinkova, P., Membership Functions Shape and Its Influence on the Dynamical Behaviour of Fuzzy Logic Controller, Cybernetics and Systems: An International Journal, vol.31, No 2, March 2000, pp.161-173.
  • Koprinkova, P., Petrova, M., Data-Scaling Problems in Neural-Network Training, Eng. Appl. of Artificial Intelligence, vol.12, 1999, pp.281-296.
  • Koprinkova, P., Petrova, M., Patarinska, T., Bliznakova, M., Neural Network Modelling of Fermentation Processes. Specific Kinetic Rates Models, Cybernetics and Systems: An International Journal, vol.29, No3, 1998, pp.303-317.
  • Petrova, M., Koprinkova, P., Patarinsaka, T., Bliznakova, M., Neural Network Modelling of Fermentation Processes. Specific Growth Rate Model, Bioprocess Engineering, vol.18, No4, April 1998, pp.281-287.
  • Petrova, M., Koprinkova, P., Patarinska, T., Neural Network Model of Fermentation Processes. Microorganisms Cultivation Model, Bioprocess Engineering, vol.16, No3, Febr. 1997, pp.145-149.
  • Tzonkov, S., Koprinkova, P., Neural Network Models of Saharomyces carlsbergensis Batch Cultivation, Biotechnology and Biotechnological Equipment, No 2, 1994, pp.64-67.
  • Petrova, M., Koprinkova, P., Patarinska, T., Fermentation Process Models Taking into Account "Culture Memory", Biotechnology and Biotechnological Equipment, No1, 1994, pp.88-92.

    • Papers in journals and conferences with SJR:

  • Popova, N., Shishkov, G., Koprinkova-Hristova, P., Alexiev, K., 3D Visualization of Sound Fields Perceived by Acoustic Camera, Cybernetics and Information Technologies, Special Issue on Information Fusion, vol.15, No7, 2015, pp.45-57; DOI:10.1515/cait-2015-0088
  • Koprinkova-Hristova, P., Bozhkov, L., Georgieva, P., Echo state networks for feature selection in affective computing, Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, Lecture Notes in Artificial Intelligence, vol.9086, 2015, pp. 131-141; DOI: 10.1007/978-3-319-18944-4_11
  • Koprinkova-Hristova, P., Alexiev, K., ACD with ESN for Tuning of MEMS Kalman Filter, The 10th International Conference on Large-Scale Scientific Computations LSSC'15, June 8 - 12, 2015, Sozopol, Bulgaria, in: I. Lirkov et al. (Eds.): LSSC 2015, Lecture Notes in Computer Science, vol.9374, 2015, pp. 226-233; DOI: 10.1007/978-3-319-26520-9
  • Bartczuk, Ł., Przybył, A., Koprinkova-Hristova, P., New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming, Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 9120, 2015, pp 318-329; DOI 10.1007/978-3-319-19369-4_29
  • Koprinkova-Hristova, P., On effects of IP improvement of ESN reservoirs for reflecting of data structure, Proc. of the International Joint Conference on Neural Networks (IJCNN), 2015, July 12-17, 2015, Killarney, Ireland; Art. number 7280703; DOI: 10.1109/IJCNN.2015.7280703
  • Koprinkova-Hristova, P., Kostov, G., Popova, S., Intelligent Optimization of a Mixed Culture Cultivation Process, Int. J. Bioautomation, 2015, 19(1), Suppl. 1, pp.S113-S124
  • Koprinkova-Hristova, P., Hebbian versus gradient training of ESN actors in closed-loop ACD, 8th International Conference on Numerical Methods and Applications, NMA 2014, August 20-24, 2014, Borovets, Bulgaria; Lecture Notes in Computer Science, vol.8962, 2015, pp.95-102; DOI: 10.1007/978-3-319-15585-2_11
  • Koprinkova-Hristova, P., On-line training of ESN and IP tuning effect, 24th International Conference on Artificial Neural Networks, September 15-19, 2014, Hamburg, Germany, Lecture Notes in Computer Science, vol.8681 LNCS, 2014, pp.25-32; DOI 10.1007/978-3-319-11179-7-4
  • Koprinkova-Hristova, P., Alexiev, K., Dynamic sound fields clusterization using neuro-fuzzy approach, 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014, Artificial Intelligence: Methodology, Systems, and Applications, Lecture Notes in Computer Science, vol.8722, 201, pp.194-205; DOI 10.1007/978-3-319-10554-3_19. SJR (2013) 0.310
  • Bartczuk, Ł., Przybył, A., Koprinkova-Hristova, P., New method for nonlinear fuzzy correction modelling of dynamic objects, 13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014, June 1-5, 2014, Zakopane, Poland, Lecture Notes in Computer Science, vol.8467 LNAI, Issue PART 1, pp.169-180; DOI 10.1007/978-3-319-07173-2_16
  • Borisova, D., Jelev, G., Atanassov, V., Koprinkova-Hristova, P., Alexiev, K., Algorithms for lineaments detection in processing of multispectral images, Proceedings of SPIE - The International Society for Optical Engineering, Vol.9245, 2014, Article number 92451L, Earth Resources and Environmental Remote Sensing/GIS Applications V; Amsterdam; Netherlands; September 23-24, 2014; DOI: 10.1117/12.2067245
  • Koprinkova-Hristova, P., Adaptive critic design and heuristic search for optimization, 9th International Conference on Large-Scale Scientific Computations, LSSC 2013, Sozopol; Bulgaria, June, 3-7, 2013, Lecture Notes in Computer Science, vol.8353 LNCS, 2014, pp.248-255; DOI 10.1007/978-3-662-43880-0_27
  • Koprinkova-Hristova, P., Tontchev, N., Popova, S., Two approaches to multi-criteria optimization of steel alloys for crankshafts production, International Journal of Reasoning-based Intelligent Systems, Special Issue on: "Innovations of intelligent systems and engineering", vol.5, No2, 2013, pp.96-103; DOI: 10.1504/IJRIS.2013.057271
  • Koprinkova-Hristova, P., Alexiev, K., Borisova, D., Jelev, G., Atanassov, V., Recurrent neural networks for automatic clustering of multispectral satellite images, SPIE Remote sensing, Sept. 23-26, 2013, Dresden, Germany, Proceedings of SPIE, vol. 8892, Image and Signal Processing for Remote Sensing XIX, Editor(s): Lorenzo Bruzzone, 88920X (October 17, 2013); DOI: 10.1117/12
  • Koprinkova-Hristova, P., Alexiev, K., Echo State Networks in Dynamic Data Clustering, Artificial Neural Networks and Machine Learning – ICANN 2013, Lecture Notes in Computer Science, Eds.: Mladenov, V., Koprinkova-Hristova, P., Palm, G, Villa, A.E.P., Appollini, B., Kasabov, N., vol.8131, 2013, pp. 343-350, DOI: 10.1007/978-3-642-40728-4.
  • Koprinkova-Hristova, P., Tontchev, N., Echo state networks for multi-dimensional data clustering, ICANN 2012, Lecture Notes in Computer Science, vol. 7552 LNCS (PART 1), pp. 571-578, 2012. DOI: 10.1007/978-3-642-33269-2_72
  • Koprinkova-Hristova, P., Tontchev, N., Popova, S., Neural Networks Approach to Optimization of Steel Alloys Composition, EANN’2011, Sept. 15-18, Corfu, Greece, IFIP Advances in Information and Communication Technology, vol.363, 2011, pp.315-234; DOI: 10.1007/978-3-642-23957-1_36
  • Koprinkova-Hristova, P., Palm, G., ESN Intrinsic Plasticity versus Reservoir Stability, 21th International Conference on Artificial Neural Networks ICANN’2011, Espoo, Finland, June 14-17, 2011, Lecture Notes in Computer Science, 2011, vol.6791, pp.69-76; DOI: 10.1007/978-3-642-21735-7_9
  • Koprinkova-Hristova, P., Hadjiski, M., Doukovska, L., Beloreshki, S., Recurrent neural networks for predictive maintenance of mill fan systems, Int. J. of Electronics and Telecommunications, vol.57, No3, 2011, pp.401-406; DOI: 10.2478/v10177-011-0055-2
  • Koprinkova-Hristova, P., Palm, G., Adaptive Critic Design with ESN Critic for Bioprocess Optimization, 20th International Conference on Artificial Neural Networks ICANN’2010, September 15-18, 2010, Thessaloniki, Greece, Book Series Computer Science, Artificial Neural Networks – ICANN 2010, Lecture Notes in Computer Science, 2010, vol. 6353/2010, pp.438-447; DOI: 10.1007/978-3-642-15822-3_54
  • Koprinkova-Hristova, P., Fuzzy Operations' Parameters versus Membership Functions' Parameters Influence on Fuzzy Control Systems Properties, 2004 2nd IEEE International Conference Intelligent Systems "Methodology, Models, Applications in Emerging Technologies", Varna, Bulgaria, June 22-24, 2004, pp.219-224

    • Papers indexed in SCOPUS

  • Shishkov, G., Popova, N., Alexiev, K., Koprinkova-Hristova, P., Investigation of some parameters of a neuro-fuzzy approach for dynamic sound fields visualization, 2015 IEEE International Symposium on Innovations in Intelligent Systems and Applications, Sept. 2-4, 2015, Madrid, Spain, DOI: 10.1109/INISTA.2015.7276769.
  • Koprinkova-Hristova, P., Alexiev, K., Sound fields clusterization via neural networks, 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, INISTA 2014; June 23- 25, 2014, Alberobello, Italy, pp.368-374; DOI 10.1109/INISTA.2014.6873646.
  • Naydenova, V., Iliev, V., Kaneva, M., Kostov, G., Koprinkova-Hristova, P., Popova, S., Modeling of alcohol fermentation in brewing - Carbonyl compounds synthesis and reduction, Proceedings - 28th European Conference on Modelling and Simulation, ECMS 2014, Brescia, Italy, May 27-30, 2014, pp.279-284
  • Koprinkova-Hristova, P., Reinforcement Learning for Predictive Maintenance of Industrial Plants, Information Technologies and Control, vol. 11, issue 1, March 2013, pp.21-28, Published Online: 2014-06-17; DOI 10.2478/itc-2013-0004
  • Koprinkova-Hristova, P., Angelova, D., Borisova, D., Jelev, G., Clustering of spectral images using Echo state networks, 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013, June 19-21, Albena, Bulgaria, DOI: 10.1109/INISTA.2013.6577633
  • Koprinkova-Hristova, P., Doukovska, L., Kostov, P., Working regimes classification for predictive maintenance of mill fan systems, 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications, IEEE INISTA 2013, June 19-21, Albena, Bulgaria, DOI: 10.1109/INISTA.2013.6577632
  • Hadjiski, M., Doukovska, L., Koprinkova-Hristova, P., Intelligent diagnostic on mill fan system, Proceedings of the 6th IEEE International Conference Intelligent Systems IS'2012, art.no. 6335158, pp.341-346. DOI: 10.1109/IS.2012.6335158
  • Koprinkova-Hristova, P., Tontchev, N., Popova, S., Multi-criteria optimization of steel alloys for crankshafts production, International Symposium on INnovations in Intelligent SysTems and Applications INISTA 2012, DOI: 10.1109/INISTA.2012.6246988
  • Balabanov, T., Koprinkova-Hristova, P., Doukovska, L., Hadjiski, M., Beloreshki, S., Neural network model of mill-fan system elements vibration for predictive maintenance, 2011 Int. Symp. on Innovations in Intelligent SysTems and Applications (INISTA), June 15-18, 2011, Istanbul, Turkey, pp.410-414. DOI: 10.1109/INISTA.2011.5946102
  • Iliev, V., Stoycheva, J., Kostov, G., Angelov, M., Koprinkova-Hristova, P., Popova, S., Bio-ethanol production optimization using ACD with ESN critic, 2011 Int. Symp. on Innovations in Intelligent SysTems and Applications (INISTA), June 15-18, 2011, Istanbul, Turkey, pp.606-609; DOI: 10.1109/INISTA.2011.5946167
  • Koprinkova-Hristova, P., Oubbati, M., Palm, G.: Adaptive critic design with echo state network, 2010 IEEE Int. Conf. on Systems, Man and Cybernetics SMC’2010, Oct. 10-13, 2010, Istanbul, Turkey, pp.1010-1015
  • Kostov, G., Angelov, M., Koprinkova-Hristova, P., Ignatova, M., Orsoni, A., Modeling of Oxygen Effect on Kinetics of Batch Fermentation Process for Yogurt Starter Culture Formation, Conference on Modelling and Simulation ECMS’2009, June 9-12, 2009, Madrid, Spain, pp.46-51
  • Koprinkova-Hristova, P., ACD Approach to Optimal Control of Mixed Culture Cultivation for PHB Production Process – Sugar’s Time Profile Synthesis, Proc. of the IEEE Intelligent Systems IS’08 Methodolgy, Models, Applications and Emerging Technologies, Sept. 6-8, 2008, Varna, Bulgaria, vol. II, pp.12-29 – 12-3; DOI: 10.1109/IS.2008.4670516

    • SCIENTIFIC ORGANIZATION ACTIVITIES

    Program Co-Chair:

  • 24rd International Conference on Artificial Neural Networks ICANN 2014, Hamburg, Germany, September 15-19, 2014
  • 2013 IEEE International Symposium on Innovations in Intelligent SysTems Applications 2013 IEEE INISTA, 9-21 June 2013, Albena, Bulgaria
  • 23rd International Conference on Artificial Neural Networks ICANN 2013, Sofia, Bulgaria, September 10-13, 2013

    • International Program Committees:

  • 29th European Conference on Modelling and Simulation ECMS 2015, May 26-29, 2015, Albena (Varna), Bulgaria
  • 7th Int. Conf. on Comp. Int., Communication Systems and Networks, June, 3-5, 2015, Riga, Latvia
  • KES Int. Conf. on Intelligent Decision Technologies, June, 17-19, 2015, Sorento, Italy
  • 5th Int. Conf. on Simulation and Modeling Methodologies, Technologies and Applications SUMULTECH 2015, July, 21-23, 2015, Colmar, Alsace,France
  • IEEE 2015 Int. Symp. оn Innovations in Intelligent Systems and Applications, INISTA 2015, September, 2-4, 2015, Madrid, Spain
  • 16th International Conference on Engineering Applications of Neural Networks, EANN 2015, September, 25-28, 2015, Island of Rhodhes, Greece
  • International Conference "Automatics and Informatics", October, 4-7, 2015,Sofia, Bulgaria
  • International Conference on Man-Machine Interaction, October, 6-9, 2015, The Beskids, Poland
  • 3rd Int. Congress on Neurotechnology, Electronics and Informatics, NEUROTECNIX 2015, November, 16-17, 2015, Lisbon, Portugal
  • 4h International Conference on Simulation and Modeling Methodologies, Technologies and Applications SIMULTECH 2014, August, 28-30, 2014, Vienna, Austria
  • 28th European Conference on Modelling and Simulation ECMS 2014, May 27-30, 2014, Brescia, Italy
  • The 16th International Conference on Artificial Intelligence: Methodology, Systems, Applications AIMSA 2014, September 11-13, 2014, Varna, Bulgaria
  • 15th International Conference on Engineering Applications of Neural Networks, EANN 2014, September 5-7, 2014, Sofia, Bulgaria
  • 3rd International Symposium on Intelligent Informatics (ISI’14), September 24-27, 2014, Delhi, India
  • 2014 IEEE International Symposium on Innovations in Intelligent SysTems Applications 2014 IEEE INISTA, June 23- 25, 2014, Alberobello, Italy
  • International Conference on Automatic and Informatics, Sofia, Bulgaria, October, 2014
  • 5th International Conference on Intelligent Decision Technologies, KES IDT 2013, Sesimbra, Portugal, 26-28 June 2013
  • 2013 UKSim 15th International Conference on Computer Modelling and Simulation (UKSim), 10-12 April 2013, Cambridge, United Kingdom
  • 11th International Conference on Adaptive and Natural Computing Algorithms ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013
  • 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications SIMULTECH 2013, Reykjavik, Iceland, 29-31 July, 2013
  • 14th International Conference on Engineering Applications of Neural Networks EANN 2013, Halkidiki, Greece, September 13-16, 2013
  • 27th EUROPEAN Conference on Modelling and Simulation ECMS 2013, May 27th - 30th, 2013, Еlesund, Norway
  • 2013 Fifth International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN), Madrid, Spain, 5-7 June 2013
  • International Conference "Automatics and Informatics'2013", Sofia, Bulgaria, 3-8 October 2013
  • 2012 Sixth UKSim/AMSS European Symposium on Computer Modeling and Simulation (EMS), Malta, Malta, 14-16 Nov. 2012
  • 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES’2012, 10-12 September 2012, San Sebastian, Spain
  • 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications SIMULTECH 2012, Rome, Italy, 28-31 July, 2012
  • 22nd International Conference on Artificial Neural Networks: Artificial Neural Networks and Machine Learning – ICANN 2012, , Lausanne, Switzerland, September 11-14, 2012
  • 26th EUROPEAN Conference on Modelling and Simulation ECMS 2012, May 29th - June 1st, 2012, Koblenz, Germany
  • 2012 International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 2-4 July 2012, Trabzon, Turkey
  • International Conference Automatic and Informatic’2011, Oct. 3-7, 2011, Sofia, Bulgaria
  • ECMS’2011 - 25th European Conference on Modelling and Simulation, Krakow, Poland, June 7-10, 2011
  • INISTA’2011 - International Symposium on Innovations in Intelligent SysTems and Applications, Istanbul, Turkey, June 15-18, 2011
  • International Conference on Simulation and Modeling Methodologies, Technologies and Applications SIMULTECH 2011, Noordwijkerhout, The Netherlands, July 29-31, 2011
  • The 19th IASTED International Conference on Applied Simulation and Modelling ASM’2011, Crete, Grece, June 22-24, 2011
  • International Conference Automatic and Informatic’2010, Oct. 3-7, 2010, Sofia, Bulgaria
  • INISTA’2010 – International Symposium on Innovations in Intelligent SysTems and Applications, Kayseri, Turkey, June 21-24, 2010
  • ECMS’2010 - 24th Europaen Conference on Modelling and Simulation, Kuala Lumpur, Malaysia, June 1-4, 2010
  • The 21st IASTED International Conference on Modelling and Simulation, Banff, Alberta, Canada, July 15-17, 2010
  • 7th EUROSIM Congress on Modelling and Simulation EUROSIM’2010, Sept. 6-10, 2010, Prague, Czech Republic
  • Int. Symposium on Inovations in Itelligent Systems and Applications INISTA, June 29 –July 1, 2009, Trabzon, Turkey
  • 23rd European Conference on Modelling and Simulation ECMS, June 9-12, 2009, Madrid, Spain
  • 6th Int. Symposium on Process Control SPC’09, June 1-3, 2009, Ploiesti, Romania
  • National Conference with International Participation Automatic and Informatics’2009, Sept. 29 – Oct. 4, 2009, Sofia, Bulgaria
  • The 17th IASTED Int. Conf. on Applied Simulation and Modelling ASM’2008, June 23-25, 2008, Corfu, Greece
  • 22nd European Conference on Modelling and Simulation ECMS, June 3-6, 2008, Nicosia, Cyprus
  • AMS’2008 Asia Modelling Symposium 2008, May 13-15, 2008, Kuala Lumpur, Malaysia
  • Int. Symposium on Inovations in Itelligent Systems and Applications INISTA, June 2007, Istanbul, Turkey
  • Third International BioInfo’2007 Workshop, October 5, 2007, Sofia, Bulgaria
  • 21st European Conference on Modelling and Simulation ECSMS, June 4-6, 2007, Prague, Czech Republic
  • Asia Modelling Symposium AMS’2007, March 27-30, 2007, Phuket, Thailand
  • 20th European Conference on Modelling and Simulation ECSMS, May 28-31, 2006, Bonn, Germany
  • 19th European Conference on Modelling and Simulation ECSMS, June 1-4, 2005, Riga, Latvia
  • Int. Symposium on Inovations in Itelligent Systems and Applications INISTA, June 15-18, 2005, Istanbul, Turkey

    • Organizing Committees:

  • International Joint Conference on Neural Networks IJCNN 2013, Dallas, TX, August 4-9, 2013
  • IEEE Intelligent Systems, Sept. 6-8, 2012, Sofia, Bulgaria
  • IEEE Intelligent Systems “Methodology, Models, Applications and Emerging Technologies”, Sept. 6-8, 2008, Varna, Bulgaria
  • IEEE International Conference Intelligent Systems "Methodology, Models, Applications in Emerging Technologies", June 22-24, 2004, Varna, Bulgaria