Prof. Xianping Fu
(Keynote Speaker)

Dalian Maritime University, China

Biography: Biography: Xianping Fu is currently a full professor, doctoral supervisor, and the dean of the Information Science and Technology College, Dalian Maritime University (DMU), China. He is the head of first-level disciplines Computer Science and Technology discipline of DMU, the director of the Liaoning Underwater Robot Engineering Research Center, and the leader of the Liaoning High-level Innovation and Entrepreneurship Team. He received the Liaoning Outstanding Talent, the Liaoning Distinguished Teacher, the Dalian Leading Talent, and the Excellent Graduate Tutors. He was a postdoctoral fellow at Tsinghua University and Harvard University, and an RPB international research scholar in the United States. He has presided over 30 national and provincial-level research projects, published more than 200 peer-reviewed scientific papers, and applied for more than 50 patents. He received the second prize of the National Excellent Teaching Achievement Award, the Gold Award of the Seventh International Invention Expo, and the first prize of the Liaoning Excellent Teaching Achievement Award.

Prof. Chiharu Ishii
(Keynote Speaker)

Hosei University, Japan

Biography: Chiharu Ishii received his PhD in Mechanical Engineering from Sophia University, Japan in 1997. He worked at Ashikaga Institute of Technology between 1997 and 2002, at Kogakuin University between 2002 and 2009, and at Shibaura Institute of Technology between 2009 and 2010. He has been working at Hosei University since 2010, and currently working as a Professor with the Department of Mechanical Engineering, Faculty of Science and Engineering at Hosei University. Dr. Chiharu Ishii has received several awards such as The Best Paper Award in the area of Tactile and Haptic Interfaces at the 4th International Conference on Human System Interaction (IEEE HSI 2011); Best Paper Award at the 1st International Conference on Computer Science, Electronics and Instrumentation (ICCSE 2012); Best Presentation Award at the International Conference on Intelligent Mechatronics and Automation (ICIMA 2013); Excellent Oral Presentation Award at the 4th International Conference on Soft Computing & Machine Intelligence (ISCMI 2017); 3rd Prize, Excellent Paper Award at the 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021). He is currently a member of IEEE, SICE, JSME, RSJ, IEEJ and JSCAS. His research interests are in medical robotics, assistive technology and robust control.

Prof. Demetri Terzopoulos
(Keynote Speaker)

University of California，Los Angeles, USA

Keynote Lecture: Biomimetic Human Simulation With Deep Learning of Neuromuscular and Sensorimotor Control

Abstract: Realistic computer simulation of the human body — not just the bones, joints, and muscles, but also the sensory organs and, of course, the brain — is a grand scientific challenge in the quest for artificial intelligence/life. In this context, I will present our advances in biomimetic human simulation and sensorimotor control. Our framework features an unprecedentedly detailed biomechanical human musculoskeletal model actuated by more than 800 muscles, with func-tional eyes whose retinas have numerous nonuniformly-distributed photoreceptors. This bio-inspired perceptual apparatus feeds the sensorimotor center of our virtual human’s brain, which currently incorporates two dozen (deep) neural networks, organized as a neurovisual sensory subsystem that drives a neuromuscular motor subsystem. Synthesizing its own motor and visu-al training data, our autonomous virtual human learns efficient and robust active visuomotor control of its eyes, head, torso, and limbs to perform a variety of nontrivial sensorimotor tasks never previously achieved in realistic biomechanical human simulations or anthropomimetic robotics.

Biography: Demetri Terzopoulos is a Distinguished Professor and Chancellor’s Professor of Computer Science at the University of California, Los Angeles, where he directs the UCLA Computer Graphics & Vision Laboratory. He received his PhD degree in Artificial Intelligence from MIT in 1984. He is a Guggenheim Fellow, a Fellow of the ACM, a Life Fellow of the IEEE, a Fellow of the National Academy of Artificial Intelligence, a Fellow of the Royal Society of London and the Royal Society of Canada, and a Fellow of the Canadian Academy of Engineering, among other societies internationally. His many awards include an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences, in addition to the IEEE’s Computer Pioneer Award, Helmholtz Prize, inaugural Marr Prize citation, and inaugural Computer Vision Distinguished Researcher Award. He joined UCLA in 2005 from New York University, where he held the Henry and Lucy Moses Endowed Professorship in Science and was Professor of Computer Science and Mathematics at NYU's Courant Institute of Mathematical Sciences. Previously, he was Professor of Computer Science and Professor of Electrical & Computer Engineering at the University of Toronto. He is Co-founder and Chief Scientist of VoxelCloud, Inc., a multinational healthcare AI company.

Prof. Hongliang REN
(Keynote Speaker)

The Chinese University of Hong Kong (CUHK), Hong Kong, China

Biography: Prof. 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 served as an Associate Editor for IEEE Transactions on Automation Science & Engineering (T-ASE) and Medical & Biological Engineering & Computing (MBEC). He has navigated his academic journey through Chinese University of Hong Kong, Johns Hopkins University, Children’s Hospital Boston, Harvard Medical School, Children’s National Medical Center, United States, and National University of Singapore (NUS).

His areas of interest include biorobotics, intelligent control, medical mechatronics, soft continuum robots, soft sensors, and multisensory learning in medical robotics. He is the recipient of CUHK Young Researcher Award, NUS Young Investigator Award and Engineering Young Researcher Award, IAMBE Early Career Award 2018, Interstellar Early Career Investigator Award 2018, ICBHI Young Investigator Award 2019, and Health Longevity Catalyst Award 2022 by NAM & RGC, Best Paper Awards in IEEE-ROBIO (2019 & 2013), IEEE-RCAR2016, IEEE-CCECE2015, IEEE-Cyber2014 among 30+ others awards.

He has been constantly listed among the world’s top 2% of the most-cited scientists by Stanford University in the career-long category.

He frequently served as an expert reviewer/judge for international funding agencies (60+ proposal reviews) of 10+ countries/regions (including Switzerland, Belgium, UK, Kazakhstan, Poland, Hong Kong, Macau, Chilean, China, Singapore etc.)