Ersan Kabalci

Om P. Malik

Om P. Malik (IEEE Life Fellow&IET Fellow) is Professor Emeritus at the University of Calgary, Canada. Over a 60‑year career, he pioneered adaptive controllers for electric power systems and wind generation—now deployed on large generating units. He has published more than 800 papers with over 410 in journals and co‑authored four books on power systems. A graduate of London University with a Ph.D. in 1965, he has supervised more than 110 graduate students including 59 Ph.D. graduates. He is also a Fellow of EIC, CAE, and Engineers Canada.

Fengji Luo

Fengji Luo (IEEE Senior Member) is a Senior Lecturer with the School of Civil Engineering at The University of Sydney, Australia. His research interests include smart grid energy management, demand response, renewable energy integration, microgrid control and optimization, electric vehicles and infrastructure, building energy optimization, and computational intelligence applications in power systems. He has published over 150 papers in leading journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, IEEE Transactions on Industrial Informatics, and Applied Energy. His work has accumulated over 11,000 citations with an h-index of 51.

Xueqian Fu

Xueqian Fu (IEEE Senior Member) is an Associate Professor at the College of Information and Electrical Engineering, China Agricultural University, China. His research interests include agricultural energy internet, power system planning, renewable energy integration, and integrated energy systems. He has published more than 50 SCI papers as first/corresponding author, including multiple ESI Highly Cited Papers. He was consecutively named a World's Top 2% Scientist for 2023, 2024, and 2025. He is a recipient of the “Shennong” China Agricultural Science and Technology Award (First Prize).

Jiashen Teh

Jiashen Teh (IEEE Senior Member) is an Associate Professor at University Science Malaysia, Malaysia. His research interests include dynamic line rating, renewable energy integration, and power system optimization. He has published over 80 SCIE papers with more than 5,000 citations and has been recognized as a World's Top 2% most-cited researcher for five consecutive years (2020–2025). He holds 3 intellectual properties. He received the IEEE PES Outstanding Engineer Award (2021) and the IET Malaysia Outstanding Young Professional Award (2022).

Fang Liu

Fang Liu (IEEE Senior Member) is a Professor in Automation Science and Technology at Central South University, China. Her research interests include power system stability, renewable energy generation technologies, smart grids, information fusion, deep learning, and robust control of time-delay systems. She has led 30 research projects and published over 100 papers in high-impact international journals and conferences. She holds over 20 patents/software copyrights, has published 4 books, and has received numerous honors such as National High-Level Young Talent, Hunan Provincial Leading Talent in Science.

Siqi Bu

Siqi Bu (IET Fellow, IEEE Senior Member) is a Professor in Power and Energy Systems at The Hong Kong Polytechnic University, China. His research interests include power system stability, renewable energy integration, smart grid applications, and transport electrification. He has been ranked among the World’s Top 2% Most-cited Scientists. He holds multiple Gold Awards from the Geneva International Exhibition of Inventions and has received Outstanding Editor/Reviewer Awards from IEEE Transactions on Power Systems (7 consecutive times), IEEE Transactions on Sustainable Energy, and other flagship journals.

Paolo Mercorelli

Paolo Mercorelli is a Distinguished Full Professor and Chair of Control Systems at Leuphana University, Germany. He is a former Marie Curie Fellow, and during his time at ABB, was awarded 3 patents. Recognized as a global top 2% scientist by Elsevier/Stanford from 2019 to 2025, he has delivered 13 plenary lectures and received over 10 Best Paper Awards. He has authored more than 180 papers and serves as Editor-in-Chief of two international journals. His research integrates control theories such as Kalman filtering, sliding mode control, and model predictive control with wavelets and geometric control, applying them to sensorless control, robotics, and key tasks like battery SOC estimation, engine valve control, and DC-DC converter fault detection.