Prof. Ching-Chih Tsai, National Chung Hsing University, Taiwan, China (Fellow of IEEE, IET, CACS, and RST)

Biography: Dr. Ching-Chih Tsai received the Diplomat in Electrical Engineering from National Taipei Institute of Technology, Taipei, Taiwan, ROC, the MS degree in Control Engineering from National Chiao Tung University, Hsinchu, Taiwan, and the Ph.D degree in Electrical Engineering from Northwestern University, Evanston, IL, USA, in 1981, 1986 and 1991, respectively. Currently, he is currently a Life Distinguished Professor in the Department of Electrical Engineering, National Chung-Hsing University, Taichung, Taiwan, where he served the Chairman in the Department of Electrical Engineering from 2012 to 2014. Since February, 2021, he has also served the Dean of the R&D Office, NCHU. He is a Fellow of IEEE, IET, CACS, and RST.
Prof. Tsai served as the Chair, Taipei Chapter, IEEE Control Systems Society, from 2000 to 2003, and the Chair, Taipei Chapter, IEEE Robotics and Automation Society from 2005 to 2006. In 2007, he was the program chair of 2007 CACS international automatic conference sponsored by Taipei chapter, IEEE control systems society. In 2010, he served as the program co-chair of SICE 2010 annual conference in Taiwan, which was technically sponsored by IEEE CSS; in 2011, he served as the General Chair, 2011 International conference on service and interactive robotics; in 2012, he has served as the General Chair, 2012 International conference on Fuzzy Theory and Its Applications, the General Chair, 2012-2015 CACS International Automatic Control Conferences, and the General Chair, 2016-2019 International Conference on Advanced Robotics and Intelligent Systems. Dr. Tsai served the two-term President, Chinese Institute of Engineers in Central Taiwan, Taiwan from 2007 to 2011, two-term President of Chinese Automatic Control Society from 2012 to 2015, and two-term President of Robotics Society of Taiwan form 2016 to 2019. Dr. Tsai also served as a steering committee of Asian Control Association from 2014 to 2019, and a BOG member of the IEEE SMCS from 2017 to 2019, a Vice President of International Fuzzy Systems Association from 2015 to 2019. Furthermore, he has been the Executive Directors in Boards of Government of thee professional associations, including Robotic Society of Taiwan, Taiwan Fuzzy Systems Association, and Taiwan Systems Association since 2009, the Chair, Taichung Chapter, IEEE Systems, Man, and Cybernetics Society since 2009, the Chair of IEEE SMC Technical Committee on intelligent learning in control systems since 2009, a BOG member of IEEE Nanotechnology council since 2012, and the President-Elect of International Fuzzy Systems Association since 2019.  
Dr. Tsai has published more than 600 technical papers, and seven patents in the fields of control theory, systems technology and applications. Dr. Tsai is respectively the recipients of the Third Society Prize Paper Award from IEEE Industry Application Society in 1998,  the Outstanding Automatic Control Engineering Award in 2008 from Chinese Automatic Control Society (CACS), and the Outstanding Engineering Professor Award in 2009 from the Chinese Institute of Engineers in 2009, the IEEE Most Active SMC Technical Committee (TC) Award in 2012 from IEEE SMC Society, the Outstanding Electrical Engineering Professor Award from the Chinese Institute of Electrical Engineering in 2014, Outstanding Industry Contribution Award from Taiwan Systems Association in 2016, and the 2018 outstanding research award from the Ministry of Science and Technology (MOST), Taiwan, the 2019 RST Fellow, the 2020 Outstanding Robotics Engineering Medal from Robotics Society of Taiwan, and many best paper awards from many international conferences technically supported by IEEE. He is the advisor, IEEE SMC student branch chapter at National Chung Hsing University; this chapter was the recipient of certificate of appreciation from IEEE SMCS in 2009. He has served as the associate editors of International Journal of Fuzzy Systems, and IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Industry Informatics, and International Journal of Electrical Engineering. He served as the Editor in Chief of a new international robotics journal called “iRobotics” from 2018 to 2019. His current interests include fuzzy systems, fuzzy deep NN control, advanced nonlinear control methods, deep model predictive control, , deep neural-network control, advanced mobile robotics, intelligent service robotics, intelligent mechatronics, and intelligent learning control methods with their applications to intelligent automation, AI robots, smart machinery and smart agriculture.

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Prof. Jinjun Shan, York University, Canada (Fellow of CAE, EIC and AAS)

Biography: Dr. Jinjun Shan is an internationally recognized expert in the areas of dynamics, control and navigation. He joined York University as an Assistant Professor of Space Engineering in 2006 and was promoted to Full Professor in 2016. Prior to his appointment in York, he was a Post-Doctoral Fellow at the University of Toronto Institute for Aerospace Studies (UTIAS) in 2003-2006 and a Research Assistant at the Department of Manufacturing Engineering and Engineering Management (MEEM), City University of Hong Kong, in 2002-2003. He received his B.Eng., M.Eng., and Ph.D. degrees all from Harbin Institute of Technology, China, in 1997, 1999, and 2002, respectively. Dr. Shan has made outstanding contributions to several national and international space missions including the NEOSSat.
He has attracted over $5 million in research funding from various governmental agencies and industry partners. His research progress is demonstrated through over 200 peer-reviewed journal and conference publications and 2 issued patents. Dr. Shan’s accomplishments in research and engineering education have seen him recognized with prestigious recognitions such as the Fellow of Canadian Academy of Engineering (CAE), the Fellow of Engineering Institute of Canada (EIC), the Fellow of American Astronautical Society (AAS), the Associate Fellow of AIAA, Alexander von Humboldt Fellowship, JSPS Fellowship, York Research Leader Awards, Excellent in Teaching Award and Lassonde Educator of the Year Award. He serves the profession as the Associate Editor for several field-leading journals including IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, IEEE Systems, Man, and Cybernetics Magazine, IEEE Systems, Man, and Cybernetics Letters (SMC-L), and the Journal of Franklin Institute, as well as numerous conference chairs. He is the founding director of Spacecraft Dynamics Control and Navigation Laboratory (SDCNLab) at York University. He has served as the Department Chair in 2018-2023.

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Prof. Shunli Wang, Academic leader of the National Electrical Safety and Quality Testing Center, Smart Energy Storage Institute, China

Biography: Prof. Shunli Wang is a Doctoral Supervisor, Academic Dean, Academic Leader of the National Electrical Safety and Quality Testing Center, Academician of the Russian Academy of Natural Sciences, Provincial Senior Overseas Talent, Provincial level scientific and technological talents, Academic and Technical Leader of China Science and Technology City, and top 2% of top scientists in the world, who is an authoritative expert in renewable energy research. His research interests include modeling, state estimation, and safety management for energy storage systems. 56 projects have been undertaken, including the projects from the National Natural Science Foundation of China and the Provincial Science and Technology Department. 258 research papers have been published (Research Interest Score: 11547; Citations: 3167; h-index: 29). 53 intellectual property rights have been applied, of which 23 authorizations have been approved. 9 books have been published by famous publishers such as Elsevier and IET. 23 honorary titles or awards have been achieved, such as young scholars and leading experts of innovative talent teams. Also, the team has been continuously supported by the "University & Enterprise Innovative Talent Team Support Plan" and unanimously praised by employers and peer experts.

Speech Title:  Core State Parameter Monitoring of High-reliability Smart Energy Storage Systems
Abstract: As an important component of the smart grid energy storage system, high-precision state of health  estimation of lithium-ion batteries is crucial for ensuring the power quality and supply capacity of the smart grid. To achieve this goal, an improved integrated algorithm based on multiple layer kernel extreme learning machine and genetic particle swarm optimization algorithm is proposed to estimate the SOH of Lithium-ion batteries. Kernel function parameters are used to simulate the update of particle position and speed, and genetic algorithm is introduced to select, cross and mutate particles. The improved particle swarm optimization is used to optimize the extreme value to improve prediction accuracy and model stability. The cycle data of different specifications of LIB units are processed to construct the traditional high-dimensional health feature dataset and the low-dimensional fusion feature dataset, and each version of ML-ELM network is trained and tested separately. The numerical analysis of the prediction results shows that the root mean square error  of the comprehensive algorithm for SOH estimation is controlled within 0.66%. The results of the multi-indicator comparison show that the proposed algorithm can track the true value stably and accurately with satisfactory high accuracy and strong robustness, providing guarantees for the efficient and stable operation of the smart grid.

Prof. Sudan Jha Kathmandu University, Nepal(IEEE Senior Member)

Biography: With over 22 years of combined teaching, research, and industrial experience, Sudan Jha is a Senior member of IEEE and a Professor in the Department of Computer Science & Engineering at Kathmandu University, Nepal. His previous affiliations include KIIT University, Chandigarh University, Christ University, etc. He was 'Technical Director' at Nepal Television, 'Principal' at Nepal College of IT, and 'Individual Consultant' at Nepal Telecom Authority.
Prof. Jha is dedicated to advancing higher education quality and actively works on smart platforms. His extensive research portfolio comprises 80+ published research papers and book chapters in esteemed SCI, SCIE indexed journals and conferences. He serves as an Editor-in-Chief of an international journal and Guest Editor for SCIE/ESCI/SCOPUS indexed journals. With three patents to his name, he has authored and edited 6 books on cutting-edge topics in IoT, 5G, and AI, published by Elsevier, CRC, and AAP. His research has also secured funding for two international projects.
Additionally, Prof. Jha contributes as a Keynote in more than 25 international conferences. In addition, he has also delivered faculty development programs, short-term training programs, workshops in national and international conferences, universities. He holds certifications in Microservices Architecture, Data Science, and Foundations of Artificial Intelligence.
His primary research interests encompass Quality of Services in IoT enabled devices, Neutrosophic theory, and Neutrosophic Soft Set Systems.

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