IEEE Senior Member, Assistant Professor, Benha University
Domain of Research: Intelligent Systems>
Dr. Ahmad Azar has received the M.Sc. degree (2006) in System Dynamics and Ph.D degree (2009) in Adaptive Neuro-Fuzzy Systems from Faculty of Engineering, Cairo University (Egypt). He is currently assistant professor, Faculty of computers and information, Benha University, Egypt. Dr. Azar is the Editor in Chief of two journals published by IGI Global, USA entitled ''International journal of system dynamics Applications (IJSDA)'' and ''International Journal of Rough Sets and Data Analysis (IJRSDA)''. He is associate editor of IEEE Trans. Neural Networks and Learning Systems. Dr Azar is a reserach member of Scientific Research Group in Egypt (SRGE). Dr. Ahmad Azar has worked in the areas of System Dynamics, Intelligent Control, soft computing and Modelling in Biomedicine and has authored/coauthored over 80 research publications in peer-reviewed reputed journals, book chapters and conference proceedings. He is an editor of four Books in the field of Fuzzy logic systems and biomedical Engineering. Dr. Ahmad Azar is closely associated with several international journals as a reviewer. He serves as international programme committee member in many international and peer-reviewed conferences. His biography was selected to appear in the 27th, 29th and 31th Editions of Who's Who in the World, Marquis Who's Who, USA, 2010, 2012 and 2014 respectively. Recently, his biography was selected to appear in the 67th and 68th Editions Who's Who in America, Marquis Who's Who, USA, 2013 and 2014, respectively. Dr Ahmad Azar is currently the Vice chair of IEEE Computational Intelligence Society (CIS) Egypt Chapter and Vice President Of Egypt System Dynamics Chapter. He is an Academic Member of IEEE Systems, Man, and Cybernetics Society Technical Committee on Computational Collective Intelligence and also a member in KES Focus Group on Agent and Multi-agent Systems. Dr. Ahmad Azar's reserach interests include: Soft computing, Data mining, Machine learning, Rough set, Mathematical Modeling and Computer Simulation, Scientific Computing, Modeling of Biomedical Systems, Bioinformatics, Automatic Control Systems, Systems Engineering, System Dynamics, Process Control, Robotics and Systems, Intelligent control systems, Computational intelligence like artificial neural network, fuzzy logic and Genetic algorithms, Hybrid Intelligent Systems like Neuro-Fuzzy systems, and Genetic-Fuzzy systems, Signals and Systems, Digital Signal Processing, System thinking, Probability and Statistical Analysis, Decision Support systems, Computer Aided Diagnosis, Urea Kinetic Modeling, Biofeedback systems.