Mahmoud Elsisi
Mahmoud Elsisi
(Senior Member, IEEE) received the B.Sc., M.Sc., and Ph.D. degrees from the Electrical Engineering Department, Faculty of Engineering (Shoubra), Benha University, Cairo, Egypt, in 2011, 2014, and 2017, respectively.,He worked as an Assistant Professor at the Electrical Engineering Department, Faculty of Engineering (Shoubra), Benha University. From August 2019 to July 2022, he worked as an Assistant Professor with the Industry 4.0 Implementation Center, Center for Cyber-Physical System Innovation, National Taiwan University of Science and Technology, Taipei, Taiwan. He is currently an Associate Professor with the Electrical Engineering Department, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan. His research interests include studying the machine learning, deep learning, the Internet of Things (IoT), cybersecurity, model predictive control, neural networks, fuzzy logic, Kalman filter, observers, decentralized control of largescale systems, robotic control, autonomous vehicle control, renewable energy, power system dynamics: stability and control, nuclear power plant control, and wind energy conversion systems, faults diagnosis, power transformers.
Publications
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K. Vijay, S. Gnanavel, K. R Sowmia, R. Vijayakumar, Mahmoud Elsisi.
© 2024. 27 pages.
As the present, fourth generation of production, “Industry 4.0” describes the state of the art. Under this general term, you'll find a number of manufacturing, data-sharing...
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