Speakers of 2024

Prof. Mouquan Shen, Nanjing Tech University, China

Profile: Mouquan Shen received a Ph.D. degree in Control Theory and Control Engineering from the College of Information Science and Engineering, Northeastern University, Shenyang, China, in 2011. Since 2012, he has been with the College of Electrical Engineering and Control of Science at Nanjing Tech University, Nanjing, China. Since 2018, he has been a full professor at Nanjing Tech University, China. From 2015 to 2021, he was a visiting scholar at Yeungnam University, the University of Hong Kong, Hong Kong, and the University of Adelaide, respectively. His research interests cover fuzzy systems, iterative learning control, adaptive dynamic programming, networked control systems, hybrid systems, and so on. He has published over 90 international journal papers and received over 1900 citations with an h-index of 24.

He has served as Editor-in-Chief for Advances in Fuzzy Sets and Systems and Associate Editor for ISA Transactions, Proc. IMechE Part I: Journal of Systems and Control Engineering, International Journal of Robotics and Control Systems. He is also an active reviewer for over 70 international journals, such as IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics, IEEE Transactions on Systems Man Cybernetics-Systems, and IEEE Transactions on Fuzzy Systems. 

Link: https://eecs.njtech.edu.cn/info/1146/4885.htm

Prof. Jiangping Hu, University of Electronic Science and Technology of China, China

Profile: Prof. Jiangping Hu received a B.S. degree in applied mathematics and a M.S. degree in computational mathematics from Lanzhou University, Lanzhou, China, in 2000 and 2004, respectively, and a Ph.D. degree in Modeling and Control of Complex Systems from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, in 2007. He has held various positions with the Royal Institute of Technology, Stockholm, Sweden; the City University of Hong Kong, Hong Kong; Sophia University, Tokyo, Japan; and Western Sydney University, Sydney, NSW, Australia. He is currently a professor at the School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China. His current research interests include multi-agent control, social dynamics, and distributed optimization. He has published more than 150 peer-reviewed papers, 12 ESI papers, and received over 7300 citations with an h-index of 33. He has been ranked among the world’s top 2% of most-cited scientists by Stanford University since 2020. He is an associate editor of the Journal of Systems Science and Complexity, Kybernetika, Mathematics, and PLOS Complex Systems.

Assoc. Prof. Sohrab Mirsaeidi (SMIEEE), Beijing Jiaotong University, China

Profile: Sohrab Mirsaeidi received his Ph.D. degree in Electrical Engineering from Universiti Teknologi Malaysia (UTM), Malaysia, in 2016. Subsequently, he furthered his postdoctoral fellowship at the Department of Electrical Engineering, Tsinghua University, China, from 2016 to 2019. Currently, he is an Associate Professor at the School of Electrical Engineering, Beijing Jiaotong University (BJTU), China. Sohrab Mirsaeidi has published 60+ papers and two books in the field of microgrids and large-scale power systems. He is a member of the National Technical Committee of Measuring Relays and Protection Equipment Standardization of China and has presided over and participated in several national research projects in China. He is an editorial board member for several international journals and a regular reviewer for IEEE Transactions journals. He has also served as Chair, Keynote/Invited Speaker, and Technical Committee Member in 60+ international conferences. His main research interests include the control and protection of large-scale hybrid AC/DC grids and microgrids, power system stability, and the application of power electronics in power systems. He is a senior member of IEEE and a member of IET, CIGRE, and the Chinese Society for Electrical Engineering (CSEE). Link:http://faculty.bjtu.edu.cn/9358/

Assoc. Prof. Mohd. Khair b. Hassan, University Putra Malaysia, Malaysia

Profile: Mohd Khair Hassan was born in Melaka, Malaysia, in November 1974. He received his BEng (Hons) degree in Electrical and Electronics from the University of Portsmouth, United Kingdom, in 1998 and his MEng degree in Electrical Engineering from the University of Technology Malaysia (UTM). He later completed his Ph.D. degree, specializing in automotive engineering, from the University Putra Malaysia (UPM) in 2010. Currently, he is the Deputy Dean of Research and Innovation at the Faculty of Engineering, University Putra Malaysia, and a registered professional engineer in the field of electronics under the Board of Engineers Malaysia (BEM). Additionally, he is a Malaysian Board of Technology (MBOT)-certified professional technologist. He is currently serving as vice president of the Malaysian Society for Automatic and Control Engineers (MACE), also known as IFAC-MACE Malaysia, and is an IEEE senior member. Control systems, battery systems, and AI applications are among his areas of interest. His research team focuses on RUL prediction, energy management, battery balancing, and battery modeling. In journals, he has authored over 78 publications and five book chapters. Currently mentoring 16 PhD and 5 MSc students, he has graduated 12 PhD and 15 MSc students. He also serves on the Engineering Accreditation Council (EAC) and Engineering Technology Accreditation Council (ETAC) panels that accredit electrical and electronic (EE) programs appointed by the Malaysian Board of Engineers. He also serves as an external examiner for PhD and MSc students from Malaysian and international universities. Additionally, he serves as an evaluator and expert panel member for a variety of grant applications. Link: CURRICULUM VITAE (upm.edu.my)

Speech Title: Circular Economy and Battery Ageing

Abstract: Batteries play a crucial role in various industries, from electronics to electric vehicles and renewable energy storage. However,  battery ageing, which refers to the gradual deterioration of a battery's capacity and performance over time, presents challenges  in terms of sustainability and resource management. Embracing a circular economy approach can offer solutions to mitigate the environmental impact of battery ageing while maximizing the value extracted from used batteries.

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