Professor Bidyadhar SubudhiBased in Ponda Goa, India
Prof. Bidyadhar Subudhi is working as a Professor at the Indian Institute of Technology (IIT) Goa. Prof. Subudhi received the Bachelor of Electrical Engineering from the National Institute of Technology (NIT), Rourkela (formerly REC Rourkela) in 1988, the Master of Technology degree in Control and Instrumentation from IIT Delhi in 1994 and PhD degree in Control System Engg. from the University of Sheffield, United Kingdom in 2002. He served as a Post- Doctoral Research Fellow in the NUS Singapore in 2005.
Currently he serves as Professor, School of Electrical Sciences and Dean (Research & Development) in Indian Institute of Technology Goa. Prior to this, he was working as a Professor in the Dept. of Electrical Engg. in NIT Rourkela. He served as the Head of the Department, Electrical Engineering and Dean (Alumni Relation & Resource Generation); Chairman, Curriculum & Accreditation Committee; Head, Computer Centre at NIT Rourkela. He also served as a Visiting Professor at the Univ. of Saskatchewan, Canada and in Asian Institute of Technology, Bangkok in 2011 and 2013 respectively.
Prof. Subudhi has been appointed as Distinguished Speaker by ACM for next three years (2020-2023). He was a recipient of the Prestigious Newton Fellowship of the Royal Academy of UK in the year 2015, and Samanta Chandra Sekhar Award of the Odisha Bigyan Academy, Govt. of Odisha for his contribution to science and technology in the year 2013. He was awarded NITRAA Research Excellence Award in Electrical Sciences in 2019.
He has been elected as a Fellow of the Indian National Academy of Engineering for his distinguished contribution in Electrical Engineering. He is a Fellow of IET (UK), Institution of Engineers (India), Institution of Electronics & Telecommunication Engineers (India) and senior Member, IEEE. He serves as a Technical Committee Member of the IEEE Intelligent Control Group. He serves as an Associate Editor, IEEE Access and IEEE Technology Conference Editorial Board.
He collaborates with several foreign universities through international research grants. He has supervised 34 PhD students. He has published his research work in 130 reputed international journals and 70 conference papers. He has edited 3 books and contributed 13 book chapters. His research interests include Machine Learning and Adaptive Systems, Marine Robotics and Microgrid Systems.
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A Muti-agent Distributed Control of a Microgrid
A microgrid is a small-scale power system that facilitates integration of Distributed Generations (solar photovoltaic, and wind turbine etc.), local loads and energy storage units. This lecture...
Adaptive Filtering Approaches to Control Maximum Power Extraction and Grid Synchronization of PV systems
In the recent years more research and development activities are directed on generating power from renewable sources such as solar photovoltaic (PV) and wind energy systems to meet the...
- Machine Learning Approach to Control an AutonomousResearch on Autonomous Underwater Vehicle (AUV) has attracted increased attention of control and robotics engineering community in the recent years due to its many interesting applications...
- Reinforcement Leaning Adaptive Control of a Flexible ManipulatorManipulators with thin and light weight arms or links are called as Flexible-Link Manipulators (FLMs). These manipulators offer several advantages over their rigid-link counter parts including...
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- Machine Learning Approach to Control an Autonomous