AIAAT Speakers

AIAAT 2024 Speakers

Prof. Dan Zhang
(Keynote Speaker)
Hong Kong Polytechnic University, HKSAR, China
Fellow,the Engineering Institute of Canada

Keynote Lecture: TBA




Biography: Professor Dan Zhang is a Chair Professor of Intelligent Robotics and Automation, and Director of Consortium for Intelligent Robotics Research at the Hong Kong Polytechnic University. He received his PhD in Mechanical Engineering from Laval University, Canada in 2000. He joined Ontario Tech University (OTU), Canada, as Assistant Professor in 2004 and was promoted to Associate Professor and Professor in 2006 and 2011 respectively. During the appointment period in OTU, he also served as Founding Chair in the Department of Automotive, Mechanical and Manufacturing Engineering (2012 – 2014) and was awarded the Canada Research Chair in Advanced Robotics and Automation (2009 – 2015). Since 2016, he transferred to York University, Canada as a Kaneff Professor and also took up the role of Department Chair in the Department of Mechanical Engineering from 2016 to 2018. Thereafter, he was awarded the Tier 1 York Research Chair in Advanced Robotics and Mechatronics in 2017.
      Professor Zhang's research interests include synthesis and optimization of parallel and hybrid mechanisms; generalized parallel mechanisms research; reconfigurable robots; innovation design of parallel robots: parallelization of serial robots; micro/nano manipulation and mems devices (e.g., sensors); rescue robots; smart biomedical instruments (e.g., exoskeleton robots and rehabilitation robotics); AI/robotics/autonomous systems; Aerial and Underwater Robotics; Artificial Intelligence for Robotics; intelligent reconfigurable adaptive landing gear and manipulator (manipulander).
      Professor Zhang is a well-accomplished educator and an internationally renowned expert in the areas of parallel robotic machines and their applications in manufacturing systems. His influential scientific contributions have led to novel robotic system designs and development of new comprehensive models for better understanding of globe stiffness and robotic calibrations. His research applications have tackled some of the world's most challenging problems in high dynamic performance manufacturing robotic systems. His leadership has resulted in significant contributions to the areas of robotics, mechatronics, reconfigurable/sustainable manufacturing systems and MEMS devices. His accomplishments have been recognized by many honors and awards including Canada Research Chair, Research Excellence Awards, Tier 1 York Research Chair, Lassonde Innovation Awards --- Established Researcher, Early Researcher Award by Ministry of Research and Innovation, Fellow of the Canadian Academy of Engineering (CAE), Fellow of the Engineering Institute of Canada (EIC), Fellow of the American Society of Mechanical Engineers (ASME) and Fellow of the Canadian Society for Mechanical Engineering (CSME).
      Professor Zhang has published 266 journal papers and 190 conference papers, 12 books, 9 book chapters and numerous other technical publications. Professor Zhang has served as a General Chair for 69 International Conferences and delivered 122 keynote speeches. Professor Zhang is listed as the World’s Top Two Percent Researchers by Stanford’s Standardized Citation Indicators in 2020, 2021, 2022 and 2023.

Prof. Zengguang Hou
(Keynote Speaker)
IEEE Fellow
University of Chinese Academy of Sciences, China

Keynote Lecture: TBA


Abstract: TBA


Biography: Prof. Zeng-Guang Hou is a Professor and Deputy Director of the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences (CAS). He is a VP of Chinese Association of Automation (CAA), and of the Asia Pacific Neural Network Society (APNNS). Dr. Hou is a CAA/ IEEE Fellow. He also serves as an AE of IEEE Transactions on Cybernetics, and an Editorial Board Member of Neural Networks. He was a recipient of IEEE Transactions on Neural Networks Outstanding Paper Award in 2013, the Dennis Gabor Award of the International Neural Network Society (INNS) in 2023, the National Natural Science Award of China and the Outstanding Achievement Award of Asia Pacific Neural Network Society (APNNS) in 2017.

Prof. Weidong Chen
(Keynote Speaker)
Shanghai Jiaotong University, China

Keynote Lecture: Improving Autonomy and Safety of Intelligent Wheelchair


Abstract: Intelligent wheelchair is a typical mobility assistive robot designed to assist a user with a physical disability or cognitive impairments. Intelligent wheelchairs are interacting closely with humans and performing navigation tasks in human environments with unpredictable changes, the autonomy and safety issues are more essential for these complex and challenging situations. In this talk, I will introduce our recent work on intelligent wheelchair with emphasis on autonomy and human-safety in the aspects of mapping, localization, navigation and human-robot interaction. Aiming at the localization and navigation problems of mobile robots in dynamic and crowded environments, we proposed a systematic method for localizability-based localization and path planning as well as Long-term navigation based on spatio-temporal map prediction. The prototype systems of intelligent wheelchair developed in our lab, as well as experimental studies in real and dynamic environments will be presented for illustrating our methodologies and applications.


Biography: Weidong Chen received his B.S. and M.S. degrees in Control Engineering in 1990 and 1993, and Ph.D. degree in Mechatronics in 1996, respectively, all from the Harbin Institute of Technology, Harbin, China. Since 1996, he has been at the Shanghai Jiao Tong University where he is currently a Professor of the Department of Automation, and the Deputy Dean of the Institute of Medical Robotics. He is the founder of the Autonomous Robot Laboratory. From 2013 to 2019, he served as the Chair of the Department of Automation. He was a visiting professor in the Artificial Intelligence Laboratory at the University of Zurich in Switzerland in 2012. He has been a visiting professor in the Brain Science Life Support Research Center at the University of Electro-Communications in Japan since 2016. Dr. Chen obtained the Shanghai Science and Technology Progress Award, the Shanghai Teaching Achievement Award, the Service Robotics Best Paper Award of the IEEE ICRA conference. Dr. Chen’s current research interests include perception and control of robotic systems, multi-robot systems and medical robotics.



AIAAT Past Speakers

Prof. Dan Zhang

York University, Canada

Prof. Tor Aulin

Chalmers University of Technology, Sweden

Prof. Makoto Iwasaki

Fellow of IEEE, IEEJ, JSPE

Nagoya Institute of Technology, Japan

Prof. Hanxiong Li

IEEE Fellow

The City University of Hong Kong, HKSAR, China

Prof.Ge Chen

Donghua University, China

Prof. Seiji Hashimoto


Prof. Tarek A. El-Ghazawi

The George Washington University, USA

Prof. Wilson Q. Wang

Lakehead University, Canada

Prof. Zhufeng Shao

Tsinghua University, China

Dr. Haijun SHAN

Zhejiang Lab, China