The current literature on dynamic systems is quite comprehensive, and system theory's mathematical jargon can remain quite complicated. Thus, there is a need for a compendium of accessible research that involves the broad range of fields that dynamic systems can cover, including engineering, life sciences, and the environment, and which can connect researchers in these fields. The Handbook of Research on Modeling, Analysis, and Control of Complex Systems is a comprehensive reference book that describes the recent developments in a wide range of areas including the modeling, analysis, and control of dynamic systems, as well as explores related applications. The book acts as a forum for researchers seeking to understand the latest theory findings and software problem experiments. Covering topics that include chaotic maps, predictive modeling, random bit generation, and software bug prediction, this book is ideal for professionals, academicians, researchers, and students in the fields of electrical engineering, computer science, control engineering, robotics, power systems, and biomedical engineering.
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Ahmad Taher Azar received the M.Sc. degree in 2006, and Ph.D. degree in 2009 from the Faculty of Engineering, Cairo University, Egypt, and he got his post-doctoral from the USA in 2015. He is a Research Professor at Prince Sultan University, Riyadh, Kingdom Saudi Arabia. He is also a professor at the Faculty of Computers and Artificial intelligence, Benha University, Egypt. Prof. Azar is the Editor in Chief of the International Journal of System Dynamics Applications (IJSDA) and International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) published by IGI Global, USA. He is also the Editor in Chief of International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience Publishers, Olney, UK. Prof. Azar has worked as associate editor of IEEE Trans. Neural Networks and Learning Systems from 2013 to 2017 and Associate Editor of ISA Transactions, Elsevier from 2018 to 2020. He is currently associate editor of IEEE systems journal and Human-centric Computing and Information Sciences, Springer. Dr. Ahmad Azar has worked in Control Theory & Applications, Robotics, Process Control, Artificial Intelligence, and machine learning. He has authored/co-authored over 350 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings. He is an editor of many books in Fuzzy logic systems, modeling techniques, control systems, Robotics, computational intelligence, Chaos Modeling, and Machine learning published by Springer and Elsevier. Dr. Ahmad Azar is closely associated with several international journals as a reviewer. He serves as an international program committee member in many international and peer-reviewed conferences. Dr. Ahmad Azar is a Senior Member of IEEE since Dec. 2013 due to his significant contributions to the profession. Dr. Ahmad Azar is the recipient of several awards, including the Benha University Prize for Scientific Excellence (2015, 2016, 2017, and 2018) and the Highest Citation Award from Benha University (2015, 2016, 2017, and 2018). In June 2018, Prof. Azar was awarded the Egyptian State Encouragement Award in Engineering Sciences, the Academy of Scientific Research and Technology of Egypt, 2017. In July 2018, he was selected as an Energy and Electricity Research council member, Academy of Scientific Research, Ministry of Higher Education. In Aug. 2018, he was selected as a senior Member of the International Rough Set Society (IRSS). In February 2020, Prof. Azar has been awarded the Distinguished Egyptian Order of the first class from the Egyptian President. In October 2020, Prof. Azar has been awarded Abdul Hameed Shoman Arab Researchers Award in Machine learning and Big data analytics. In October 2020, Prof. Azar has been selected as a Distinguished researcher at Prince Sultan University, Riyadh, Saudi Arabia. In November 2020, Prof. Azar has been selected from Stanford university among the top 2% scientists in the world in Artificial Intelligence. These statistics were published by Stanford University in PLOS journal and based on SCOPUS Database. Prof. Ahmad Azar is the Chair of IEEE Computational Intelligence Society (CIS) Egypt Chapter, Vice chair of IEEE Computational Intelligence Society Interdisciplinary Emergent Technologies Task Force, vice-Chair Research Activities of IEEE Robotics and Automation Society Egypt Chapter, Committee member of IEEE CIS Task Force on Fuzzy Logic in Medical Sciences Also, he is the Vice-president (North) of System dynamics Africa Regional Chapter and an Academic Member of IEEE Systems, Man, and Cybernetics Society Technical Committee on Computational Collective Intelligence.
Nashwa Kamal is the managing editor of some international journals like International Journal of System Dynamics Applications (IJSDA), International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) and International Journal of Sociotechnology and Knowledge Development (IJSKD) published by IGI Global, USA. Also, she is the managing editor of International Journal of Intelligent Engineering Informatics (IJIEI), Inderscience Publishers, Olney, UK. Dr. Nashwa Ahmad Kamal has worked in the areas of Control Theory & Applications, Process Control, Nonlinear control, Robotics and Renewable Energy and has authored/coauthored some research publications in peer-reviewed reputed journals book chapters and conference proceedings. She is a member of international group of control systems and International Society of Automation (ISA), USA.
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The current literature on dynamic systems is quite comprehensive, and system theory's mathematical jargon can remain quite complicated. Thus, there is a need for a compendium of accessible research that involves the broad range of fields that dynamic systems can cover, including engineering, life sciences, and the environment, and which can connect researchers in these fields. The Handbook of Research on Modeling, Analysis, and Control of Complex Systems is a comprehensive reference book that describes the recent developments in a wide range of areas including the modeling, analysis, and control of dynamic systems, as well as explores related applications. The book acts as a forum for researchers seeking to understand the latest theory findings and software problem experiments. Covering topics that include chaotic maps, predictive modeling, random bit generation, and software bug prediction, this book is ideal for professionals, academicians, researchers, and students in the fields of electrical engineering, computer science, control engineering, robotics, power systems, and biomedical engineering. Nº de ref. del artículo: 9781799857884
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