Sivaji Chakravorti did his BEE, MEE and PhD from Jadavpur University, Kolkata, in 1983, 1985 and 1993, respectively. From 1985 he is a full-time faculty member of Electrical Engineering Department of Jadavpur University, where he is currently Professor in Electrical Engineering. From August 2015 to August 2020, he was the Director of National Institute of Technology Calicut on lien from Jadavpur University. He worked at the Technical University Munich as Humboldt Research Fellow in 1995-96, 1999 and 2007, respectively. He served as Development Engineer in Siemens AG in Berlin in 1998. He has also worked as Humboldt Research Fellow in ABB Corporate Research at Ladenburg, Germany, in 2002. He worked as US-NSF guest scientist at the Virginia Tech, USA, in 2003 and as guest scientist at Technical University Hamburg-Harburg, Germany, in 2005. He is the recipient of Technical University Munich Ambassador Award in 2013 and AICTE Technology Day Award in 2003. He is Fellow of Indian National Academy of Engineering, Fellow of National Academy of Sciences India and Distinguished Lecturer of IEEE Power and Energy Society. He is presently Vice-President of the Indian National Academy of Engineering. He was an Associate Editor of IEEE Transactions on Dielectrics & Electrical Insulation and Chairman of IEEE India Council during 2017-2018. He has published more than 250 research papers including 68 papers in IEEE Transactions, authored three books, edited three books, developed three online courses and owns one US patent, three Indian patents and two software copyrights. His current fields of interest are condition monitoring of power equipment, numerical field computation and optimization of insulation system.

 

 

Goutam Chakraborty received his Ph.D. in 1993 from Tohoku University, Japan. Before joining Tohoku University, he worked in Telecommunication Industry in India. Presently he is a Distinguished Professor, Department of the Software and Information Science, Iwate Prefectural University, Japan. His research interests are Machine Learning, Data Analysis, Soft Computing algorithms including deep-neural networks and their applications to solve pattern recognition, prediction, scheduling and optimization problems, including applications in wired and wireless Networks. He is interested in the analysis of various time-series signals like ECG, EEG, and other bio-signals, for health/medical applications. He also works in the area of text-mining. Graduate School of Software and Information Science Iwate Prefectural University, Japan
E-mail: goutam@iwate-pu.ac.jp || g236q203@s.iwate-pu.ac.jp