Keynote Speakers

Prof. Marcelo Ang

National University of Singapore (NUS), Singapore

Biography: Marcelo H. Ang Jr. received the B.Sc. degrees (Cum Laude) in mechanical engineering and industrial management engineering from the De La Salle University, Manila, Philippines, in 1981, the M.Sc. degree in mechanical engineering from the University of Hawaii at Manoa, Honolulu, HI, USA, in 1985, and the M.Sc. and Ph.D. degrees in electrical engineering from the University of Rochester, Rochester, NY, USA, in 1986 and 1988, respectively.,His work experience includes engineering work in Intel, research positions at the East West Center, Honolulu, and at Massachusetts Institute of Technology, Cambridge, MA, USA, and an Assistant Professor of electrical engineering at the University of Rochester. In 1989, he joined the Department of Mechanical Engineering, National University of Singapore, Singapore, where he is currently a Professor. His research interests span the areas of robotics, mechatronics, autonomous vehicles, and applications of intelligent systems methodologies. His teaching includes graduate and undergraduate level courses in robotics. He is also active in consulting work in robotics and intelligent systems.,Dr. Ang is actively involved in Singapore Robotic Games as the Founding Chairman and the World Robot Olympiad as a member of its Advisory Council.

Prof. David Banjerdpongchai

Chulalongkorn University, Thailand

Biography: David Banjerdpongchai received B.Eng. degree (First class honors) from Chulalongkorn University, and M.S. and Ph.D. degrees from Stanford University, all in Electrical Engineering, respectively. He has been with the department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University. Currently, he is a professor of Electrical Engineering and the head of the Center of Excellence in Intelligent Control Automation of Process Systems. He is a senior member of IEEE, President of ECTI Association (2024-2025), and a founding chair of IEEE Control Systems Society Thailand Chapter (2015-2021). He served as a general co-chair of ECTI-CON 2013, ICA-SYMP 2019, ECTI-CON 2024, ISCIT 2024, ECTI-CON 2025, SICE FES 2025, associate editor of IJCAS and a section editor-in-chief of ASEAN Engineering Journal. His research interests are energy management systems, control design of nonlinear systems, and convex optimization in robust control problems.

Prof. Xingjian Jing

City University of Hong Kong, China

Biography: Xingjian Jing (M’13, SM’17) received the B.S. degree from Zhejiang University, China, the M.S. degree and PhD degree in Robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, respectively. He also achieved the PhD degree in nonlinear systems and signal processing from University of Sheffield, U.K.
He is now a Professor with the Department of Mechanical Engineering, City University of Hong Kong. Before joining in CityU, he was a Research Fellow with the Institute of Sound and Vibration Research, University of Southampton, followed by assistant professor and associate professor with Hong Kong Polytechnic University. His current research interests include: Nonlinear dynamics, Vibration, Control and Robotics, with a series of 280+ publications of 16500+ citations and H-index 67 (in Google Scholar), with a number of patents filed in China and US. He is one of the world top2% highly cited scientists and IEEE senior member.
Prof Jing is the recipient of a number of academic and professional awards including 2016 IEEE SMC Andrew P. Sage Best Transactions Paper Award, 2017 TechConnect World Innovation Award in US, 2017 EASD Senior Research Prize in Europe and 2017 the First Prize of HK Construction Industry Council Innovation Award, etc.
He currently serves (or served) Senior Editor of Mechanical Systems and Signal Processing, Topic Associate Editor of Nonlinear Dynamics, and Associate Editors of IEEE Transactions on Systems, Man, Cybernetics -Systems, IEEE Transactions on Industrial Electronics (2021-2024), and Technical Editor of IEEE/ASME Trans. on Mechatronics (2015-2020). He was lead editors of special issues on “Exploring nonlinear benefits in engineering” during 2018-2019 and “Next-generation vibration control exploiting nonlinearities” during 2021-2022 both published in Mechanical Systems and Signal Processing. He is the general conference chair of ICANDVC 2021-2025.

Speech Title: Harnessing Nonlinearity for Smarter Engineering Systems

Abstract: Nonlinear dynamics underpins most engineering practices and often presents the greatest challenge that must be addressed before meaningful progress can be made. Gaining a deep understanding of nonlinearity is essential, as it offers direct insight into how nonlinear behavior shapes the response of dynamic systems. With this motivation, our work began years ago with the development of fundamental theories for nonlinear analysis and design. Building on these theoretical foundations, we then explored real engineering applications, leveraging nonlinear dynamics to achieve advantageous system responses. This progression has ultimately driven innovations in vibration control, energy harvesting, sensor design, structural health monitoring, and robotic systems. This talk provides an overview of these research and development efforts over the past years.

Prof. Mingbo Zhao

Donghua University, China

Biography: Mingbo Zhao received the Ph.D. degree from City University of Hong Kong in February 2013. He joined the School of Information Science and Technology at Donghua University in 2026, where he was appointed as a Full Professor and Ph.D. Supervisor in the Automation program. He currently serves as an Associate Editor for several SCI-indexed journals, including IEEE Transactions on Consumer Electronics, IEEE Transactions on Consumer Electronics Letters, and IEEE Transactions on Industrial Informatics. He is also an Associate Editor of the SCI journal International Journal of Pattern Recognition and Artificial Intelligence and a Domain Editorial Board Member of the Chinese core journal Computer Engineering. He has served as a Senior Program Committee Member of the AAAI Conference on Artificial Intelligence (2022–2025) and as an Area Chair for ACM Multimedia (2021–2023), and has also served on the program committees of multiple international conferences and as a reviewer for numerous leading journals. His research interests include machine learning and artificial intelligence, with a focus on multimodal information retrieval, fault diagnosis, and medical diagnosis. Over the past five years, he has published more than 100 papers in leading international journals and conferences in artificial intelligence, authored two book chapters, obtained one U.S. invention patent and five Chinese invention patents, and led three research projects, including a General Program of the National Natural Science Foundation of China, while also participating as a key member in a National Major Science and Technology Project of China. His publications have received more than 4,000 citations on Google Scholar, indicating significant academic impact both nationally and internationally.

Prof. Genci Capi

Hosei University, Japan

Biography: Genci Capi received the Ph.D. degree from Yamagata University, in 2002. He was a Researcher at the Department of Computational Neurobiology, ATR Institute from 2002 to 2004. In 2004, he joined the Department of System Management, Fukuoka Institute of Technology, as an Assistant Professor, and in 2006, he was promoted to Associate Professor. He was a Professor in the Department of Electrical and Electronic Systems Engineering, at the University of Toyama up to March 2016. Now he is a Professor in the Department of Mechanical Engineering, Hosei University. His research interests include intelligent robots, BMI, multi-robot systems, humanoid robots, learning and evolution.