Keynote Speakers
- Duc Truong Pham
- Professor, University of Birmingham, England.
- Research field： Intelligent systems, Robotics and autonomous systems and advanced manufacturing and Remanufacturing technology.
- Duc Truong Pham OBE FREng FLSW BE PhD DEng CEng FIET FIMechE SFHEA holds the Chance Chair of Engineering at the University of Birmingham where he started his career as a lecturer in robotics and control engineering following undergraduate and postgraduate studies at the University of Canterbury in New Zealand. Before returning to Birmingham in 2011, he was Professor of Computer-Controlled Manufacture and Director of the Manufacturing Engineering Centre at Cardiff University. His research is in the areas of intelligent systems, robotics and autonomous systems and advanced manufacturing and remanufacturing technology. He has published over 600 technical papers and books and has graduated more than 100 PhD students. He is a recipient of several awards including five prizes from the Institution of Mechanical Engineers, a Lifetime Achievement Award from the World Automation Congress and a Distinguished International Academic Contribution Award from the IEEE. He is a Fellow of the Royal Academy of Engineering, Learned Society of Wales, Society for Manufacturing Engineers, Institution of Engineering and Technology and Institution of Mechanical Engineers. He is the founding editor of the Springer Series in Advanced Manufacturing and editor-in-chief of Cogent Engineering and the International Journal on Interactive Design and Manufacturing.
- Simon X. Yang
- Professor, University of Guelph, Canada.
- Research field： Robotics, Intelligent systems, Control systems, Sensors and multi-sensor fusion, Wireless sensor networks, Bio-inspired intelligence, Neural networks, Machine learning, Fuzzy systems, Evolutionary computation, Intelligent communications, Intelligent transportation, and Computational neuroscience.
Simon X. Yang received the B.Sc. degree in engineering physics from Beijing University, Beijing, China, in 1987, the first of two M.Sc. degrees in biophysics from the Chinese Academy of Sciences, Beijing, in 1990, the second M.Sc. degree in electrical engineering from the University of Houston, Houston, TX, in 1996, and the Ph.D. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 1999. Dr. Yang is currently a Professor and the Head of the Advanced Robotics and Intelligent Systems Laboratory at the University of Guelph, Guelph, ON, Canada. Prof. Yang’s research interests include robotics, intelligent systems, control systems, sensors and multi-sensor fusion, wireless sensor networks, bio-inspired intelligence, neural networks, machine learning, fuzzy systems, evolutionary computation, intelligent communications, intelligent transportation, and computational neuroscience. Prof. Yang has been very active in professional activities. He has been served as the Editor-in-Chief and Associate Editor of several journals, and has involved in the organization of many international conferences. He was on the grant review panel of NSERC, CIHR and several other grant agencies.
- Babak Safaei
- Associate professor, Eastern Mediterranean University, Turkey.
- Research field： Computational mechanics, Micro and nano mechanics, Design of lightweight structures, Composite materials, Mechanical vibration, Biomechanics and drug delivery, Advanced manufacturing, Finite element and mesh-free method, Nonlocal.
Dr. Babak Safaei currently is working as an Associate Professor at Department of Mechanical Engineering at Eastern Mediterranean University. He received his PhD. degree in Mechanical Engineering from Department of Mechanical Engineering at Tsinghua University. Presently, he is the Director of Nanotechnology and Multifunctional Structures Research Center (NMSRC) at Eastern Mediterranean University. Also, he has honorary position as Visiting Associate Professor at University of Johannesburg since 2021. His research interests focus on Computational Mechanics; Micro and Nano Mechanics; Advanced Manufacturing; Design of Lightweight Structures; Composite and Nano Composite Materials; Lithium-Ion Batteries, Nonlocal Theories and Mechanical Vibration.
- Hongliang Ren
- Associate Professor, The Chinese University of Hong Kong, China.
- Research field： Biorobotics & intelligent systems, Medical mechatronics, Continuum, Soft flexible robots and sensors, Multisensory perception, Learning and control in image-guided procedures, Deployable motion generation, Compliance modulation/sensing, Cooperative and context-aware sensors/actuators in human environments, Robotic surgery, Flexible robotics and machine artificial intelligence.
Professor Hongliang Ren received his Ph.D. in Electronic Engineering (Specialized in Biomedical Engineering) from The Chinese University of Hong Kong (CUHK) in 2008. He has been navigating his academic journey through Chinese University of Hong Kong, UC Berkeley, Johns Hopkins University, Children’s Hospital Boston, Harvard Medical School, Children’s National Medical Center, United States, and National University of Singapore. He serves as an Associate Editor for IEEE Transactions on Automation Science & Engineering (T-ASE) and Medical & Biological Engineering & Computing (MBEC). He has served as an active organizer and contributor on the committees of numerous robotics conferences, including a variety of roles in the flagship IEEE Conf. on Robotics and Automation (ICRA), IEEE Conf. on Intelligent Robots and Systems (IROS), as well as other domain conferences such as ROBIO/BIOROB/ICIA. He served as publicity chair for ICRA 2017, concurrently as Organizing Chair for ICRA 2017 workshop on Surgical Robots, and video chair for ICRA 2021. He has delivered numerous invited keynotes/talks at flagship conferences/workshops at ICRA/IROS/ROBIO/ICIA. He is the recipient of IFMBE/IAMBE Early Career Award 2018, Interstellar Early Career Investigator Award 2018, and ICBHI Young Investigator Award 2019. He is also the recipient of numerous international conference awards, including Best Conference Paper Awards at IEEE ROBIO 2019, IEEE RCAR 2016, IEEE CCECE 2015, IEEE Cyber 2014, and IEEE ROBIO 2013.
