2024 International Conference on Smart Grid and Artificial Intelligence (SGAI 2024)

Keynote Speaker

SPEAKERS


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Prof. Junbo Zhang

South China University of Technology, China

Biography:

Junbo Zhang is a professor and doctoral supervisor at the School of Electric Power Engineering, South China University of Technology, and the Outstanding Young Scientist of Guangdong Province. Secretary General of the IEEE PES Intelligent Building, Load and Customer Systems Technical Committee (China) and Senior Member of IEEE. Deputy Director of the Smart Energy Engineering Research Center at South China University of Technology and Vice President of the China Southern Power Grid South China University of Technology Grid Smart Operation Joint Research Institute. Mainly engaged in interdisciplinary collaborative innovation work of "electrical engineering+artificial intelligence+software engineering+engineering management", with a focus on breaking through the stability issues of new power systems. Led multiple National Natural Science Foundation projects. Published over 50 EI/SCI papers, including 20 IEEE Transactions and other Zone 1 papers published by the first/corresponding author, and was awarded the Best Paper in IEEE Power&Energy Society General Meeting from 2016 to 2017. He was also recognized as an Outstanding Reviewer for IEEE Transactions on Power Systems in 2017 and 2019, with 2 monographs.


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Prof. Jinping Liu

Hunan Normal University, China

Biography:

Prof. Liu has been engaged in the research of intelligent monitoring, modeling and optimal control of complex industrial processes for a long time, and has developed several sets of related intelligent monitoring and control systems, which have been successfully applied to lead and zinc flotation processes, iron and steel smelting processes and other complex industrial processes, with remarkable economic benefits. He has presided over two projects of National Natural Science Foundation of China (NSFC), one project of Hunan Provincial Natural Science Foundation, one key project of NSFC (Guangdong Provincial Joint Fund) and one upper-level project of NSFC in cooperation with other organizations. He has published more than 40 papers in international SCI journals, more than 20 papers in domestic journals such as Journal of Automation, Science in China: Information Science, Journal of Electronics, etc. He has applied for more than 20 national invention patents, and 8 of them have been authorized.


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Prof. Dr. Mohamed EL-Shimy

Ain Shams University, Egypt

Biography:

Dr. Mohamed EL-Shimy Mahmoud was born in Cairo, Egypt. He is currently a  professor in the department of Electrical Power and Machines - Faculty of Engineering – Ain Shams University. In addition, he is an electromechanical specialist, a freelance trainer and a member of many associations and professional networks. He is also a technical reviewer for some international journals and conferences. His fields of interest include power system analysis, power system economics, power system optimization, electric power distribution, renewable-energy resources and technologies, and power system reliability.


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Prof. Weinan Gao

Northeastern University, China

Biography:

Weinan Gao received the Ph.D. degree in Electrical Engineering from New York University, Brooklyn, NY, USA. He is a Professor with the State Key Laboratory of Synthetical Automation for Process Industries at Northeastern University, Shenyang, China. Previously, he was an Assistant Professor of Mechanical and Civil Engineering at Florida Institute of Technology, Melbourne, FL, USA, an Assistant Professor of Electrical and Computer Engineering at Georgia Southern University, Statesboro, GA, USA, and a Visiting Professor of Mitsubishi Electric Research Laboratory (MERL), Cambridge, MA, USA. His research interests include reinforcement learning, adaptive dynamic programming (ADP), optimal control, cooperative adaptive cruise control (CACC), intelligent transportation systems, sampled-data control systems, and output regulation theory. Prof. Gao is the recipient of the best paper award in IEEE Data Driven Control and Learning Systems (DDCLS) Conference in 2023, IEEE International Conference on Real-time Computing and Robotics (RCAR) in 2018 and the David Goodman Research Award at New York University in 2019. He is an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE/CAA Journal of Automatica Sinica, Control Engineering Practice, Neurocomputing and IEEE Transactions on Circuits and Systems II: Express Briefs, a member of Editorial Board of Neural Computing and Applications, and a Technical Committee member in IEEE Control Systems Society on Nonlinear Systems and Control, IFAC TC 1.2 Adaptive and Learning Systems, and CAAI Industrial Artificial Intelligence.


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