Committee:
Prof. Leon Chua, IEEE Fellow,University of Berkeley, USA
Prof. Aggelos Katsaggelos, IEEE Fellow, Northwestern University, USA
Prof. Narsingh Deo, IEEE Fellow, University of Central Florida, Orlando, FL, USA
Prof. Wasfy B Mikhael, IEEE Fellow, University of Central Florida Orlando, USA
Prof. Georgios B. Giannakis, IEEE Fellow, University of Minnesota, USA
Prof. Panos Pardalos, IEEE Fellow, University of Florida, USA
Prof. Jim Austin, Computer Science, University of York, York, UK
Prof. Bruno Apolloni, University of Milan, Milan, Italy
Prof. Alessandro Di Nuovo, IEEE Senior Member, Sheffield Hallam University, Sheffield, UK
Prof. Dominic Palmer-Brown, London Metropolitan University, London, UK
Prof. Yi Ming Zou, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
Prof. Sebastian Pannasch, Technische Universitaet Dresden, Dresden, Germany
Prof. Yutaka Maeda, Faculty of Engineering Science, Kansai University, Japan
Prof. Andreas Koenig, Technische Univ. Kaiserslautern, D-67663 Kaiserslautern, Germany
Prof. Jiann-Ming Wu, National Dong Hwa University, Hualien, Taiwan
Prof. Paolo Gastaldo, University of Genova, Genova, Italy
Prof. Friedhelm Schwenker, Universitat Ulm, 89069 Ulm, Germany
Prof. Juan Ignacio Arribas, Universidad de Valladolid, Valladolid, Spain
Prof. Tienfuan Kerh, National Pingtung Univ.of Science and Technology, Pingtung, Taiwan
Prof. Imre J. Rudas, Obuda University, Budapest, Hungary
Prof. Francesco Camastra, University of Naples - Parthenope, Naples, Italy
Prof. Kyong Joo Oh, Yonsei University, Korea
Prof. Francesco Marcelloni, University of Pisa, Pisa, Italy
Prof. Giorgio Valentini, University of Milan (Milano), Italy
Prof. Zhiyuan Luo, Royal Holloway, University of London, Egham, Surrey, UK
Prof. Alessio Micheli, Universita di Pisa, Pisa, Italy
Prof. Ping-Feng Pai, National Chi Nan University, Puli, Nantou, Taiwan
Prof. Manwai Mak, Hong Kong Polytechnic University, Hung Hom, Hong Kong
Prof. Alexander Gegov, University of Portsmouth, Portsmouth, UK
Prof. Hazem M. El-Bakry, Mansoura University, Mansoura, Egypt
Prof. Alessandro Rozza, University of Naples - Parthenope, Naples, Italy
Prof. Ryszard S. Choras, University of Technology & Life Sciences, Bydgoszcz, Poland
Prof. Dietrich Klakow, Saarland University, Saarbrucken, Germany
Prof. George Mengov, Sofia University St. Kliment Ohridski, Sofia, Bulgaria



Topics: 
Mathematical Foundation of Neural Networks (NN), Neural Networks Theory & Models, Neuronal Automata, Learning Algorithms, Real-life Applications, Neural Networks and Neuroscience, Brain Machine Interfaces, Neurodynamics, Cellular Neural Networks, Complex Systems, Hybrid Systems, Implementation of Neural Networks, Self-Orgnization of NN, Machine Learning, Fuzzy Systems and Neural Networks, Evolutionary Algorithms and Neural Networks, Bionspired Computations and Neural Networks, Implementation of Neural Networks with Hardware and Embedded Systems, Neural Control and Robotics, Cognitive Models, Computational Neuroscience, Neurobiology and Neurosciences, Prediction, Estimation and Statistics. Mathematical foundation of Fuzzy Logic, Fuzzy Logic, Fuzzy Sets, Fuzzy Algebra, Fuzzy Analysis, Fuzzy Geometry, Fuzzy Differential Equation, Interval Analysis, Approximate Reasoning, Computing With Words, Fuzzy Optimization, Fuzzy Algorithms, Fuzziness and Probabilities, Fuzziness and Statistics, Fuzzy Control, Fuzzy Languages, Fuzzy Automata, Fuzzy Differential Equations, Fuzzy Discrete Event Systems, Fuzzy Expert Systems, Fuzzy Forecasting, Fuzzy Functions, Fuzzy Genetic Algorithms, Fuzzy Geometry, Fuzzy Granular Computing, Fuzzy Hardware and Architectures, Fuzzy Human – Computer Interaction, Fuzzy Information Theory, Fuzzy Expert systems, Fuzzy Operational Research, Fuzzy Data Mining, Forecasting and information retrieval, Fuzzy Internet Computing, Fuzzy Discrete Event Systems, Neural-Fuzzy Systems, Fuzzy Genetic Algorithms, Takagi-Sugeno Methodologies, Universal Approximators' Theory, Hybrid and Fuzzy Knowledge Based Networks, Software Engineering for Fuzzy Systems, Prediction, Estimation and Statistics, Simulation, Time series analysis, Non-linear Systems' study via Takagi-Sugeno Methodologies and other Fuzzy Techniques, Complex Systems' and Very Large Scale Systems' study, Fuzzy Systems in Robotics and Mechatronics, Fuzzy Systems applications in Signal Processing, Fuzzy Systems applications in Patern Recognition, Fuzzy Systems applications in Communications, Fuzzy Systems applications in Networking, Fuzzy Systems applications in Power Systems, Fuzzy Systems applications in Production Systems, Biological, Environmental, Space Science, Health Science, Financial Science Applications of Fuzzy Systems, Fuzzy Systems applications in Mechanical, Chemical, Civil, Naval, Agricultural, Environmental Engineering. Mathematical foundation of Genetic Algorithms and Evolutionary Computing, Evolution Strategies, Evolutionary Programming, Probabilistic and Statistical problems in EC, Metaheuristic optimization algorithms, Learning classifier systems, Co evolution and collective behavior, Multiobjective evolutionary algorithms, Evolvable hardware, Fuzzy Evolutionary Methods, Neural Networks' training via GA, Neuro-Fuzzy-Evolutionary Systems, Self-organizing maps, Growing neural gas,, Differential evolution, Artificial life, Digital organisms, Cultural algorithms, Harmony search algorithm, Artificial immune systems, Learnable Evolution Model, Ant colonies, Immune systems, Molecular computing, DNA computing,Particle swarm and differential evolution, Clustering, Hybrid and Knowledge Based Networks' study via EC, Software based of EC concepts, EC in Neurobiology and neurosciences, Prediction, Estimation and Statistics via EC, Simulation with EC, EC (Evolutionary Computing) for Function approximation, EC for Regression analysis, EC for Time series prediction and modelling, EC for Classification, EC for Pattern and sequence recognition, EC for Novelty detection, EC for Sequential decision making, EC for Data processing, EC for Filtering, EC for clustering, EC for blind signal separation, EC for Compression, EC software, EC and Chaos, Fuzzy-Neurodynamics and Attractor Networks with EC, Supervised learning with EC, Unsupervised learning with EC, Reinforcement learning with EC, Neural Networks training with EC, Evolutionary Computing with EC, Modern Learning algorithms with EC, Time series analysis with EC, Non-linear Systems' study via EC, Complex Systems' and Very Large Scale Systems' study via EC, EC Control (Genetic Control), EC in Robotics and Mechatronics, EC applications in Signal Processing, EC applications in Pattern Recognition, EC applications in Communications, EC applications in Networking, EC applications in Power Systems, EC applications in Production Systems, Biological, Environmental, Space Science, Health Science, Financial Science Applications of EC, EC applications in Mechanical, Chemical, Civil, Naval, Agricultural Engineering

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