with PhD in Electrical Engineering from the Politecnico di Milano, in 2002. She joined the Department of Electrical Engineering, University of South Carolina, as an Assistant Professor in 2003 and became Associate Professor in 2008. In 2009, she joined the Institute for Automation of Complex Power Systems, RWTH Aachen University, where she is currently Professor for “Monitoring and distributed control for power systems.”
She is Senior Member of IEEE and of the AdCom of the IEEE Instrumentation and Measurement Society.
Md. Ashfaqur Rahman is a PhD candidate in the Department of Electrical and Computer Engineering in Clemson University, Clemson, SC, USA. He received his BS from Bangladesh University of Engineering and Technology in 2009 and MS from Texas Tech University in 2012. He has a total of 7 technical papers with 98 citations with h‐index and i‐index be 3. His current research interests include the development of a distributed dynamic state estimator. He also worked on false data injection attack, parallel and distributed computation, state prediction, contingency analysis, optimal power flow, etc. He has served as a reviewer of IEEE journals and conference papers.
Sara Sulis received the MS degree in Electrical Engineering and the PhD degree in Industrial Engineering from the University of Cagliari, Cagliari, Italy, in 2002 and 2006, respectively. She is currently Associate Professor of Instrumentation and Measurements with the University of Cagliari. Dr. Sulis is a Senior Member of the IEEE, member of the Instrumentation and Measurement Society, of the IEEE TC 39 “Measurements in Power Systems,” and of the CENELEC TC 38 “Instrument Transformers.” She has authored or coauthored more than 100 scientific papers. Her current research interests include distributed measurement systems designed to perform state estimation and harmonic sources estimation of distribution networks.
Hongbin Sun is a Professor in the Department of Electrical Engineering, Tsinghua University, Beijing, China, the Changjiang Chair Professor of Education Ministry of China, and an IEEE Fellow. He received double BS degrees in 1992 and PhD in 1997, respectively, both from Electrical Engineering, Tsinghua University. His research interests include automatic voltage control (AVC), smart grid, renewable energy and electrical vehicle integration, and power system operation and control.
Lang Tong is the Irwin and Joan Jacobs Professor of Engineering at Cornell University and the Cornell site Director of Power Systems Engineering Research Center (PSERC). He received a BE degree from Tsinghua University and a PhD degree in Electrical Engineering from the University of Notre Dame. He held visiting positions at Stanford University, the University of California at Berkeley, the Delft University of Technology, and the Chalmers University of Technology in Sweden.
Lang Tong’s current research focuses on data analytics, optimization, and economic problems in energy and power systems. A Fellow of IEEE and the 2018 Fulbright Distinguished Chair in Alternative Energy, he received paper awards from the IEEE Circuit and Systems, Signal Processing, Communications, and Power and Energy Systems societies.
Ganesh Kumar Venayagamoorthy is the Duke Energy Distinguished Professor of Power Engineering and Professor of Electrical and Computer Engineering at Clemson University. Dr. Venayagamoorthy is the Founder (2004) and Director of the Real-Time Power and Intelligent Systems Laboratory (http://rtpis.org). He holds an Honorary Professor position in the School of Engineering at the University of Kwazulu-Natal, Durban, South Africa. Dr. Venayagamoorthy received his PhD and MSc (Eng.) degrees in Electrical Engineering from the University of Natal, Durban, South Africa, in February 2002 and April 1999, respectively. He received his B.Eng. (Honors) degree with a First Class from Abubakar Tafawa Balewa University, Bauchi, Nigeria, in March 1994. He holds a MBA degree in Entrepreneurship and Innovation from Clemson University, SC (2016). Dr. Venayagamoorthy’s interests are in the research, development, and innovation of smart grid technologies and operations, including computational intelligence, intelligent sensing and monitoring, intelligent systems, integration of renewable energy sources, power system optimization, stability and control, and signal processing. He is an inventor of technologies for scalable computational intelligence for complex systems and dynamic stochastic optimal power flow. He led the brain2grid project funded by US NSF. He has published over 500 refereed technical articles. His publications are cited >18,000 times with a h-index of 64. Dr. Venayagamoorthy has been involved in over 75 sponsored projects in excess of US $12 million. Dr. Venayagamoorthy has given over 500 invited keynotes, plenaries, presentations, tutorials, and lectures in over 40 countries to date. He has several international educational and research collaborations. Dr. Venayagamoorthy is a Senior Member of the IEEE, and a Fellow of the IET, UK, and the SAIEE.
Gang Wang received the BEng. degree in Automatic Control from the Beijing Institute of Technology, Beijing, China, in 2011, and the PhD degree in Electrical Engineering from the University of Minnesota, Minneapolis, USA, in 2018, where he stayed as a postdoctoral researcher until 2020. Since August 2020, he has been a professor with the School of Automation, Beijing Institute of Technology. His research interests focus on the areas of signal processing, deep learning, and reinforcement learning with applications to cyber-physical systems and data science. He was the recipient of the Excellent Doctoral Dissertation Award from the Chinese Association of Automation in 2019, the Best Student Paper Award from the 2017 European Signal Processing Conference, and the Best Conference Paper at the 2019 IEEE Power & Energy Society General Meeting.
Wenchuan Wu is a Professor in the Department of Electrical Engineering, Tsinghua University, Beijing, China. He received his BS in 1996, MS in 1999, and PhD degrees in 2003 all from the Electrical Engineering Department, Tsinghua University. His research interests include Energy Management System, active distribution system operation and control, and EMTP‐TSA hybrid real‐time simulation. He is an Associate Editor of IEE Proceedings – Generation, Transmission and Distribution and Journal of Electric Power Components and Systems.
Yuanhai Xia is an Electrical Engineer with China State Construction Engineering Corporation (Middle East). He has one and half years’ experience in building electric and half year in high voltage power transmission. He got his MSc from KFUPM, Saudi Arabia, in electrical and power system in 2014. He is familiar with international and domestic codes/standards, AutoCAD drawing, master excel skills with VB programming, and other programming language such as Matlab, python, and Linux shell.
Boming Zhang is a Professor in the Department of Electrical Engineering, Tsinghua University, Beijing, China. He received MEng. from Harbin Institute of Technology in 1982 and PhD from Tsinghua University in 1985, both in Electrical Engineering. He has been serving for Tsinghua University since 1985. His research area includes power system analysis, computer application in power system control center, etc. He won IEEE PES/CSEE Yu‐Hsiu Ku Electrical Engineering Award in 2015.
Junbo Zhao (SM’19) received the PhD degree from the Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA, in 2018. He was an Assistant Professor (Research) with Virginia Tech from May 2018 to August 2019. He did the summer internship at the Pacific Northwest National Laboratory from May 2017 to August 2017. He is currently an Assistant Professor with Mississippi State University, Starkville, MS, USA. He has written three book chapters and published more than 70 peer‐reviewed journal and conference papers, among which there are three ESI papers. His research interests are power system modeling, state estimation, dynamics and cybersecurity, synchrophasor applications, renewable energy integration and control, and robust statistical signal processing and machine learning.
Dr. Zhao is a co‐recipient of the best paper award of 2019 IEEE PES ISGT Asia, and the best reviewer of the IEEE TRANSACTIONS ON POWER SYSTEMS 2018 and the IEEE TRANSACTIONS ON SMART GRID 2019. He is currently the Chair of the IEEE Task Force on Power System Dynamic State and Parameter Estimation, and the Secretary of the IEEE Working Group on State Estimation Algorithms and the IEEE Task Force on Synchrophasor Applications in Power System Operation and Control. He serves as the Associate Editor of the IEEE TRANSACTIONS ON POWER SYSTEMS, the IEEE TRANSACTIONS ON SMART GRID, and International Journal of Electrical Power and Energy Systems, and the Subject Editor of IET Generation, Transmission and Distribution.
Hao Zhu