Prof. Xianping Fu
(Keynote Speaker)

Dalian Maritime University, China

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)

IEEE Fellow

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. Qingsong Xu
(Keynote Speaker)

FIEEE, FASME, FAAIA

Professor, University of Macau, China

Keynote Lecture: Development of Flexible Microrobots for Precision Biomedical Applications

Abstract: A flexible microrobot has a flexible structure or operation, which is essential for performing precision micromanipulation and force interaction tasks by interacting with the environment. Flexible-structure microrobots transmit displacement and force via elastic deformation of the materials. Compliant microrobot end-effectors and flexible micromanipulators are two kinds of tools that must meet strict standards for robotic handling with contact force regulation. Flexible-function microrobots can perform dexterous manipulations of target micro-objects with delicate contact force regulation and environmental force resistance. This presentation will report on our recent development of flexible microrobots for precision biomedical applications. It ranges from compliant robotic micromanipulators for biological cell micromanipulation, magnetic soft catheter robots for vascular intervention, and untethered magnetic microrobots for precision therapy. These flexible microrobotic systems will enable many applications to enhance human health via precision medical treatment. The challenging problems will be addressed, and future work will be discussed.

Biography: Dr. Qingsong Xu is a Professor at the Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, and Director of the Smart and Micro/Nano Systems Laboratory. His research involves intelligent micro/nanosystems, precision robotics, and biomedical applications. He has published four books and over 470 papers in international journals and conferences, cited more than 15000 times in Google Scholar with an H-index of 70. He was an Associate Editor of IEEE Transactions on Robotics (T-RO), IEEE Transactions on Automation Science and Engineering (T-ASE) and IEEE Robotics and Automation Letters (RA-L), and a Technical Editor of IEEE/ASME Transactions on Mechatronics (T-MECH). Prof. Xu has received more than a dozen best paper awards from international conferences and multiple times of Macao Science and Technology Awards from Macao SAR, China. He has been selected into the top 2% of the world's top scientists released by Stanford University since 2019. He is a Fellow of Institute of Electrical and Electronics Engineers (IEEE), Fellow of American Society of Mechanical Engineers (ASME), and Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA).

Prof. Hongliang Ren
(Keynote Speaker)

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

Biography: 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 has served 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 MICCAI/ROBIO/BIOROB/ICIA/CVPR. 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/MICCAI/CVPR/ICIA. He is the recipient of IFMBE/IAMBE Early Career Award 2018, Interstellar Early Career Investigator Award 2018, Health Longevity Catalyst Award (2022 by NAM & RGC), NUS Engineering Young Researcher Award (2019), Interstellar Early Career Investigator Award (2018), ICBHI (Biomedical and Health Informatics) Young Investigator Award (2019), NUS Young Investigator Award (2013), EMedic Global Gold Medal (2017) and Silver Medal (2021), Best Paper Awards in IEEE-ROBIO (2019 & 2013), IEEE-RCAR2016, IEEE-CCECE2015, IEEE-Cyber2014 among 30+ others awards.

Prof. Nan Ma
(Keynote Speaker)

Beijing University Of Technology, China

Keynote Lecture: Embodied Interactive Intelligence Towards Autonomous Driving

Abstract:Autonomous driving is inseparable from the intelligent interaction between vehicles to vehicles, vehicles to roads as well as vehicles to humans, and should have good embodied AI. However, in practical scenarios, people are often unclear about autonomous driving behavior and do not understand the decisions it makes, especially for the lack of cognition of autonomous driving interaction in complex and uncertain environments, and it is difficult for autonomous vehicles to reach synergy with human intentions. In recent years, our team has proposed a series of intelligent interaction methods for autonomous vehicles with human-vehicle-road collaboration, and carried out multi-channel cross-modal perception and behavior understanding research. Interactive, learnable and self-growth are the hard core of the new generation of intelligent machines, and "Autonomous Driving + Interactive Cognition" will make autonomous vehicles become interactive wheeled robots to better serve human beings.

Biography: Ma Nan is a Chang Jiang Scholar of the Ministry of Education and a Young Beijing Scholar, the vice dean of the School of Information Science and Technology, PhD Supervisor, the Deputy Director of Engineering Research Center of Intelligence Perception and Autonomous Control, Ministry of Education, the leader of National Key R&D Progrssssam, and the team leader of National First-class Undergraduate Courses "Intelligent Interaction Technology". She serves as the Deputy Secretary General of China Artificial Intelligence Society and the Secretary-General of its Education Working Committee. She is a CCF/CSIG Distinguished Membership, the head of the Beijing Intelligent Manufacturing and Robotics Innovation Project, leading talent of the "Phoenix Plan" in Chaoyang District of Beijing. Her research interests lie in interactive cognition, embodied AI, autonomous driving and mobile robot. She also serves as an editorial board member for domestic and international academic journals and as a reviewer for international conferences and journals, such as CVPR, etc. She has visited and studied in some countries such as the United States, the United Kingdom, and Australia as a visiting scholar. In recent years, she has been invited to serve as an expert in evaluating many national, provincial and ministerial projects.