R Elakkiya Editor

Dr. V. Indragandhi obtained a PhD from Anna University, Chennai, and is currently employed by VIT as an Associate Professor at the School of Electrical Engineering. She has engaged in teaching and research work for the past 15 years, with a focus on power electronics and renewable energy systems. She has published articles in high-impact factor journals, holds 4 patents to her name, and is a prolific book author/editor for Wiley, Elsevier, and MDPI. She has successfully organized many international conferences and workshops, partnering with leading universities around the world. Recently, she has been engaged as co-PI on a joint research project with Teesside University, funded by the UK Royal Academy of Engineering. R. Elakkiya is an Assistant Professor in the Department of Computer Science, at Birla Institute of Technology and Science, Dubai. She has acted as a machine learning and data analytics consultant, delivering many solutions to a variety of industries. During the COVID-19 pandemic, she developed an Artificial Intelligence-based screening tool for preliminary screening and deployed it as an open-source tool in three Government Hospitals in Tamilnadu, India. She holds three patents, has published two books, and has authored more than 50 research articles in reputable international journals on topics including AI enhancement of conductor reliability and optimization algorithms for machine learning. V. Subramaniyaswamy is currently working as a Professor in the School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. In total, he has 18 years of experience in academia. He has published more than 120 papers in reputed international journals and conferences, and filed 5 patents. His technical competencies lie in recommender systems, Artificial Intelligence, the Internet of Things, reinforcement learning, big data analytics, and cognitive analytics. He has edited two books, including Electric Motor Drives and their Applications, with Simulation Practice (Elsevier: 2022, ISBN: 9780323911627).