Panagiotis Papadopoulos

Panagiotis (Panos) Papadopoulos is a Reader (Associate Prof.) in the Department of Electrical and Electronic Engineering at the University of Manchester and a UK Research and Innovation Future Leaders Fellow working on “Addressing the complexity of future power system dynamic behaviour”. He received the Dipl. Eng. and Ph.D. degrees from the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki, in 2007 and 2014, respectively. From 2014-2017, he was a post-doctoral Research Associate at the University of Manchester and from 2017-2023, he was a Lecturer, and later Senior Lecturer and Reader at the University of Strathclyde. 

He has authored/co-authored more than 80 papers in international journals and conferences. He is the Technical Committee Program Chair of the Power System Dynamic Performance Committee of IEEE Power and Energy Society and has also been the chair of the IEEE UK and Ireland, PES chapter and a member of the IET Engineering Policy Group Scotland. He is active in both IEEE and CIGRE working groups related to power system dynamics and applications of machine learning. He has also been part of the DESNZ funded Artificial Intelligence for Decarbonisation’s Virtual Centre of Excellence (ADViCE) in collaboration with the Alan Turing Institute. He currently holds a UKRI Future Leaders Fellowship, supported by various industrial partners and the Alan Turing Institute.

His research interests are in the area of power system stability and dynamics under increasing complexity and uncertainty, introduced due to the integration of new technologies. He is also working on power system applications of machine learning to tackle complex problems related to power system stability.