Vasundhara Mahajan is an associate professor in the Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, India. She obtained her doctoral (Ph.D.) in 2014 and master's degree (M. Tech.) in 2005 from IIT Roorkee and graduated in electrical engineering from NIT Raipur (formerly GEC) in 1999. She worked as a lecturer at Christian College of Engineering and Technology, Bhilai, Chhattisgarh, from Sept. 2000 to Oct. 2007. Then joined Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, Gujarat. Since October 2007, she is at SVNIT. Dr. Mahajan has 20+ years of teaching and research experience. She has published around 70 papers in international/national journals and conferences. She has guided many Ph.D., M.Tech., and B.Tech. projects. Under her guidance, two students have completed their doctoral program in 2020. Presently, she is guiding three doctoral candidates. Her research areas are power system reliability, cybersecurity, restructuring/deregulation, energy market, congestion management, power quality improvement, active power filters, FACTS, artificial intelligence, and machine/deep learning. Anandita Chowdhury is a professor of Electrical Engineering in Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, India. She did her Bachelors and Master's degree from Bengal Engineering College, currently Indian Institute of Engineering, Science and Technology, Shibpur, West Bengal, and Ph.D. from Indian Institute of Technology, Kharagpur. Anandita is a passionate teacher, she has more than twenty-five years of teaching experience. Apart from teaching she has guided significant number of Ph.D. and M.Tech. theses. Her areas of research interest are Electrical Machines, Drives, Power system and Renewable Energy. She has appreciable number of publications in reputed journals and conferences. Anandita has organized several workshop and short term training programme on recent trends and development in Electrical Engineering for teachers and students. She is reviewer of many reputed international journals. Narayana Prasad Padhy is a professor in the Department of Electrical Engineering at the Indian Institute of Technology, Roorkee, India. He completed his Ph.D. from Anna University, Chennai, India. Prof. Padhy has over decades of academic and research experience. He is currently guiding 27 out of 42 research scholars. Most of the scholars have settled down as faculties in various reputed universities worldwide and working as Post-Doc in the USA. He has 194 papers, 04 textbooks, and 3 Indian patents published to his credit. He is aggressively involved in the Mission Innovation Activities, which includes 22 international counties, participated in the international discussion forums and smart grid conclaves. He also heads the responsibilities of the Mission Innovation Resource Center (MIRC) at IIT Roorkee. His areas of specialization are power system engineering and AC-DC smart grid. Fernando Lezama received a Ph.D. in ICTs, in 2014 and an M.Sc. in Electronic Engineering-Telecommunications, in 2011, from the Monterrey Institute of Technology and Higher Education (ITESM). He also has a Bachelor in Electronic Engineering from the Minatitlan Technological Institute (ITM), in 2008. Since August 2017, Dr. Lezama is a researcher at GECAD-Polytechnic of Porto, where he contributes to the application of CI in the energy domain under the scope of diverse projects such as SIMOCE (ANI P2020 17690), COLORS (FCT P2020 28967), MAS-Society (FCT P2020 28954), and H2020 DOMINOES (GA 771066). Dr. Lezama has published over 60 articles in prestigious journals and conferences, and over the last five years, he has been the author/co-author of over 40 articles published in intelligent system and energy conferences and SCI journals. He has been involved in the supervision of more than 10 Bachelor's and M.Sc. works in Computer Science and Electrical Engineering-Energy Systems courses. His research areas are computational intelligence, evolutionary computation, power systems, smart grids, network planning, and optimization.
