ICCRDec. 5-7, 2024

Wei-Hsin Liao

Choh-Ming Li Professor of Mechanical and Automation Engineering,
Department Chairman and Graduate Division Head;
Director, Institute of Intelligent Design and Manufacturing, the Chinese University of Hong Kong

Biography: Wei-Hsin Liao received his Ph.D. in Mechanical Engineering from The Pennsylvania State University, University Park, USA. At Penn State University, he received the Inventor Incentive Award and Sigma Xi Graduate Research Award. Since August 1997, Dr. Liao has been with The Chinese University of Hong Kong (CUHK), where he is currently Department Chairman and Choh-Ming Li Professor of Mechanical and Automation Engineering. His research has led to publications of over 360 technical papers in international journals and conference proceedings, and 23 patents. He was the Conference Chair for the 20th International Conference on Adaptive Structures and Technologies in 2009; the Active and Passive Smart Structures and Integrated Systems, SPIE Smart Structures/NDE in 2014 and 2015. He received the T A Stewart-Dyer/F H Trevithick Prize 2005, awarded by the Institution of Mechanical Engineers (IMechE). He is a recipient of the 2008 Best Paper Award in Structures, 2017 Best Paper Award in Mechanics and Material Systems, and 2021 Energy Harvesting Best Paper Award,  from the American Society of Mechanical Engineers (ASME). He also received four best paper awards in IEEE international conferences. At CUHK, Prof. Liao was awarded the Young Researcher Award 2007, the Research Excellence Award (2010-11), and Outstanding Fellow of the Faculty of Engineering (2014-19). As the Chair of Joint Chapter of Robotics, Automation and Control Systems Society (RACS), IEEE Hong Kong Section, Dr. Liao received 2012 Chapter of the Year Award from the IEEE Robotics and Automation Society. Prof. Liao is the recipient of 2020 ASME Adaptive Structures and Material Systems Award and 2018 SPIE SSM Lifetime Achievement Award, to recognize his outstanding contributions to the advancement of smart structures and materials. He is also the recipient of 2023 ASME Leonardo Da Vinci Award for the eminent achievement in the design and invention which are universally recognized as an important advance in machine design. He currently serves as an Associate Editor for Journal of Intelligent Material Systems and Structures, and on the Executive Editorial Board of Smart Materials and Structures. Dr. Liao is a Fellow of ASME, HKIE, and IOP.

 

Zhaojie Ju

Professor of Machine Learning and Robotics
University of Portsmouth, UK

Biography: Zhaojie Ju is Chair in Machine Learning and Robotics at the University of Portsmouth, Principle Investigator of EU Interreg Project, Director of Healthcare and Wearable Robotics Research, and Chair of IEEE SMC Portsmouth Chapter. He has attracted over €10 million research fund as PI/CoI and authored/co-authored over 250 publications in journals, book chapters, and conference proceedings (over 100 SCI-index papers). He has received 7 Best Paper Awards and 1 Best AE Award in ICRA2018. His research interests include machine intelligence, pattern recognition and their applications in human robot interaction/collaboration, robot skill learning and healthcare & wearable robotics.
Prof. Ju is an Associate Editor of several journals, such as IEEE TRANSACTIONS ON CYBERNETICS, IEEE TRANSACTIONS ON NEUROL NETWORKS AND LEARNING SYSTEMS and IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS. He is JSPS Fellow and IEEE Senior Member.

 

Chinthaka Premachandra

Shibaura Institute of Technology, Tokyo, Japan

Biography: Chinthaka Premachandra was born in Sri Lanka. He received the B.Sc. and M.Sc. degrees from Mie University, Tsu, Japan, in 2006 and 2008, respectively, and the Ph.D. degree from Nagoya University, Nagoya, Japan, in 2011. From 2012 to 2015, he was an Assistant Professor with the Department of Electrical Engineering, Faculty of Engineering, Tokyo University of Science, Tokyo, Japan. From 2016 to 2017, he was an Assistant Professor with the Department of Electronic Engineering, School of Engineering, Shibaura Institute of Technology, Tokyo, where he was an Associate Professor, from 2018 to 2022. In 2022, he was promoted to a Professor with the Department of Advance Electronic Engineering, School of Engineering and Graduate School of Engineering, Shibaura Institute of Technology, where he is currently the Director of the Image Processing and Robotic Laboratory. His research interests include AI, UAV, image processing, audio processing, intelligent transport systems (ITS), and mobile robotics. 
He is a member of IEEE, IEICE, Japan; SICE, Japan; RSJ, Japan; and SOFT, Japan. He has received many awards, including the IEEE SENSORS LETTERS Best Paper Award from the IEEE Sensors Council in 2022 and the IEEE Japan Medal from the IEEE Tokyo Section in 2022. He also received the FIT Best Paper Award and the FIT Young Researchers Award from IEICE and IPSJ, Japan, in 2009 and 2010, respectively. He has served as a steering committee member and an editor for many international conferences and journals. He is the Founding Chair of the International Conference on Image Processing and Robotics (ICIPRoB), which is technically co-sponsored by IEEE. He is currently serving as an Associate Editor for IEEE Robotics and Automation Letters (R-AL) and IEICE Transactions on Information and Systems.

 

Guoqiang Hu

Nanyang Technological University, Singapore

Biography: Dr. Guoqiang Hu is currently a Professor of Intelligent Systems and Robotics in the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore. He received Ph.D. in Mechanical Engineering from University of Florida. His research interests include optimization and control, game theory, and learning algorithms, with applications to robotics and smart city systems. He was a recipient of several awards, including the Best Paper in Automation Award in the 14th IEEE International Conference on Information and Automation, the Best Paper Award in the 36th Chinese Control Conference, and the Best Paper Award in the 4th Asia Pacific Conference of the Prognostics and Health Management Society. He currently serves as Associate Editor for IEEE Transactions on Control Systems Technology and IEEE Transactions on Automatic Control.