Détails
Marque
Collection
n.c
Parution
2024-11-02
Pages
171 pages
EAN papier
9789819757176
Langue
Anglais
Informations ebook
EAN PDF
9789819757183
Prix
199,99 €
En savoir plus
Nb pages copiables 1
Nb pages imprimables 17
Taille du fichier 21432 Ko
EAN EPUB
9789819757183
Prix
199,99 €
En savoir plus
Nb pages copiables 1
Nb pages imprimables 17
Taille du fichier 37120 Ko
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Chetan B. Khadse holds a PhD in "AI applications in Electrical Engineering" from Visvesvaraya National Institute of Technology Nagpur, India,  an MTech in Power Systems from Shivaji University, India, and a Bachelors from Amravati University, India. He is currently working as an Assistant Professor in the School of Electrical Engineering at the MITWPU, Pune, India. His research interests include artificial intelligence, power systems, power quality, optimization algorithms, and intelligent systems. He has published over  18 research papers in peer-reviewed reputed journals, chapters, and conferences. He is actively involved in the Center of Excellence of Electric vehicle at MITWPU where his research is mainly focused on AI techniques for the betterment of EVs. 

Ishaan R. Kale holds a Ph.D. in Nature-Inspired Optimization Techniques from the faculty of Mechanical Engineering at Symbiosis International University. He received his Master of Engineering in Mechanical Design Engineering from Maharashtra Institute of Technology, Pune University, and his Bachelor of Engineering from North Maharashtra University. Ishaan worked as an Assistant Professor at Symbiosis Institute of Technology for six years. Currently, he is working as a Research Assistant Professor at the Institute of Artificial Intelligence, MIT World Peace University. His research interests include Design Engineering, Structural Optimization, Computational Intelligence, Constraint Handling, Probability Collectives, Socio Inspired Optimization Methods, Physics-Based Optimization Methods, Cohort Intelligence, Particle Swarm Optimization, Genetic Algorithms, Hybrid Metaheuristics, Game Theory, Operation Research, and Numerical Methods.  He has published 10 research papers in peer-reviewed journals, conferences, and chapters along with one authored and one edited book. He is also involved as an active research member of the Optimization and Agent Technology Research Lab.

Apoorva S. Shastri holds a PhD in Optimization Algorithms and Applications from Symbiosis International (Deemed University), a Master of Technology (M. Tech) in VLSI Design, and a Bachelor of Engineering in Electronics & Product Design Technology from R.T.M.N.U, Nagpur. She has also earned a Diploma from the Govt. Polytechnic, Nagpur. She worked as a guest faculty at the Centre for Development of Advanced Computing (C-DAC), Pune. Currently, she is a Research Assistant Professor at the Institute of Artificial Intelligence at the MITWPU, Pune, India. Her research interests include optimization algorithms, VLSI design, multi-objective optimization, continuous, discrete, and combinatorial optimization, complex systems, manufacturing, and self-organizing systems. Apoorva developed socio-inspired optimization methodologies such as Multi-Cohort Intelligence Algorithm and Expectation Algorithm. Apoorva has published several research papers in peer-reviewed journals, chapters, and conferences along with one Springer authored book. She is a regular reviewer of different journals Elsevier and Springer. She has also served as session chair for a few international conferences.

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