Dr. Biplab Sikdar received the B. Tech degree in electronics and communication engineering from North Eastern Hill University, Shillong, India, M. Tech degree in electrical engineering from Indian Institute of Technology, Kanpur and Ph.D in electrical engineering from Rensselaer Polytechnic Institute, Troy, NY, USA in 1996, 1998 and 2001, respectively.
His research interests include wireless MAC protocols, transport protocols, network security and queuing theory. His research has been funded by the National Science Foundation, DARPA, Intel Corporation and WiMAX Forum.
Dr. Sikdar is a member of Eta Kappa Nu and Tau Beta Pi and served as an Associate Editor of the IEEE Transactions on Communications from 2007-2012.
Dr. Sanjoy Das received the B.S degree in Electrical Engineering from Sambalpur University, India in 1987, M.S. degree in Electrical and Computer Engineering from Louisiana State University, Baton Rouge in 1994 and Ph.D in Electrical and Computer Engineering from Louisiana State University, Baton Rouge in 1994.
Sanjoy Das received postdoctoral training from the University of California, Berkeley between 1994–97. He worked as a research scientist in the industry until 2001.
Das's research interests include machine learning and data analysis, multi-agent systems, algorithmic game theory, quantum computing, modeling and optimization, applications to energy grid, and natural resource sustainability.
Dr. Math Bollen received MSc degree in Electrical Engineering from Eindhoven University of Technology in 1985 and Ph.D in Electric Power Engineering from Eindhoven University of Technology, Netherlands, in 1989. He has total 17 years experience including industry and academia.
Bollen’s research interests include electric power systems; voltage dips, power quality, and distributed generation
Dr. Irene Gu has received the PhD degree in electrical engineering from Eindhoven University of Technology, The Netherlands, in 1992. From 1992 to 1994, she was a Research Fellow at the Philips Research Institute IPO, The Netherlands, and a Post-Doctoral Fellow at Staffordshire University, U.K. She was a University Lecturer at the University of Birmingham, U.K, 1995-1996 before joining Chalmers. Since Sept. 1996, she has been with the Department of Signals and Systems (current name: Dept. of Electrical Engineering), Chalmers University of Technology, where she has been a Professor since 2004. She has coauthored over 200 journal and conference articles, and coauthored the book on Signal Processing of Power Quality Disturbances.
Irene Gu’s main research areas include statistical image analysis and video processing, machine learning and deep learning, visual object tracking and recognition, signal analysis and processing with applications to electric power systems, and biomedical image analysis for AI-assisted brain disease diagnosis.
Her current main research activities include: Biomedical image analysis for diagnosis of brain tumors and Alzheimers' disease; Privacy-protected machine learning for vehicle/traffic safety and transportation systems; Signal processing and machine learning with applications to big data analytics in power systems (finding underlying causes and patterns from disturbance and variation measurement data).