Speakers

Prof. Ruxu Du
（Keynote Speaker）
Guangdong CAS Angels Biotechnology Co., Ltd., China

Keynote Lecture: AI for Precision Dental Care

Abstract: AI is quickly changing the world of medical care. This talk introduces our AI R&D for precision dental care. It includes four modules: (1) The dialog module links users and the fine-tuned LLM model (qwen32B and DeepSeek©) so that users can assess the AI generated dental advice using voice and/or text 24/7. (2) The imaging processing module uses a transformer model to detect all kinds of dental problems (such as periodontitis, caries, etc.) and give care instructions. (3) The reporting module can automatically generate standardized dental case history for easy review and validation by dentists. (4) The tracing module uses Bayesian network to updates users’ dental health condition so that the follow up dental treatments can be more effective. Based on these modules, we developed two AI agents. One is an AI children toothbrush. It has a 3D accelerator and a pressure sensor that can analyze children’s tooth brushing pattern and accordingly, encourage them for better teeth care. The other is an APP for those who had implants. It focuses on detecting implantities for better dental care.

Biography: Prof. Ruxu Du was born in China in 1955. He received his Master’s degree from the South China University of Technology in 1983 and his Ph.D. degree from the University of Michigan in 1989. He has taught in the University of Windsor, in Windsor, Ontario, Canada (1991⎯1999), the University of Miami, in Coral Gables, Florida. USA (1999⎯2001), the Chinese University of Hong Kong in Hong Kong SAR (2001⎯2018), and the South China University of Technology (2018⎯2021).

Prof. Du is the founding director of the Guangzhou Chinese Academy of Sciences Institute of Advanced Technology (2011⎯2016), the founding dean of S. M. Wu School of Intelligent Engineering, South China University of Technology, as well as the founding director of the Institute of Precision Engineering in the Chinese University of Hong Kong.

Porf. Du’s areas of research include AI applications in medicine, precision engineering, design and manufacturing (metal forming, machining, plastic injection molding and etc.), as well as robotics and automation. He has published over 500 papers in various academic journals and international conferences. He is the associate editor / the members of editorial board of six international journals. He has received a number of prestigious international and regional awards and recognitions, including:
• Fellow of Canadian Academy of Engineering;
• Fellow of SME (Society of Manufacturing Engineers);
• Fellow of ASME (Society of American Mechanical Engineers);
• Fellow of HKIE (Hong Kong Institute of Engineers);

Prof. Rongjing Zhang
（Invited Speaker）
Beihang University, China

Invited Lecture: Bio-Inspired Miniature Soft Robots with Adaptive Locomotion for Medical applications

Abstract: The development of next-generation soft-bodied medical robots is critical to address the limitations of conventional interventional robots in navigating complex, tortuous luminal environments such as cerebral vasculature and capillaries. This work presents two key innovations: (1) magnetically actuated sheet-like soft robots with multimodal locomotion (inchworm crawling, helical propulsion) and (2) biomimetic magnetic artificial cilia (MAC) arrays for precision particle manipulation. These advancements establish a framework for adaptive, wireless medical robots capable of targeted intervention in distal vasculature and high-resolution microfluidic control, bridging critical gaps in minimally invasive therapies and lab-on-a-chip technologies.

Biography: Rongjing Zhang，Professor at the Robotics Institute, School of Mechanical Engineering, Beihang University; Alexander von Humboldt Fellow and National Youth Talent. Her research focuses on robotics design, intelligent system control, multi-robot collaboration, and perception, aiming to enhance robotic flexibility and adaptability through bio-inspired intelligence. She earned his Ph.D. in 2022 from the Zernike Institute for Advanced Materials at the University of Groningen, Netherlands, and conducted postdoctoral research (2022–2024) at the Max Planck Institute for Intelligent Systems, Germany. In 2023, she received the Alexander von Humboldt Research Fellowship for her work on Intelligent Robotic Systems Control and was selected for the National Youth Talent Program in 2024. Her research findings have been published in top-tier journals such as Science Advances, ACS Nano, Physics of Fluids, Advanced Functional Materials.

Mr. Yongpeng Qin
（Invited Speaker）
Founder and CEO, Shanghai Honjo Information Technology Co., Ltd., China

Invited Lecture: Transforming Reusable Medical Device Reprocessing through AI and Robotics

Abstract: The reprocessing of reusable medical devices is a critical function in healthcare, ensuring that surgical instruments and other devices are cleaned, disinfected, sterilized, and made safe for reuse. As complexity increases and demands for quality and efficiency rise, new technologies such as Artificial Intelligence (AI) and robotics are being integrated into this workflow. This presentation first introduces the core processes and standards involved in reusable medical device reprocessing. It then presents case studies exploring practical applications of AI, including generative question-answering language models for staff support, intelligent voice control, automated scheduling through integration with DeepSeek, AI-based recognition of medical instruments, and identification of chemical indicators. Further case analysis highlights how robotic systems are being used for tasks such as automated retrieval, transport, instruments packing, intelligent packaging allotment, and automatic storage handling, reducing manual labor and improving consistency. Finally, this presentation proposes the concept of a “3-in-1 intelligent CSSD”, a next-generation Central Sterile Supply Department that combines an AI- and algorithm-driven operating system, modular robotic functions, and deeply integrated digital twin and mirror technologies. Together, these components create a smart, adaptive, and traceable sterile supply environment. This integrated approach represents a significant shift in the future of medical device reprocessing, enabling safer, more consistent, and more intelligent sterile processing operations.

Biography: Mr. Qin Yongpeng graduated from Tongji University in Shanghai in 1999. In 2000, he began his professional career at Getinge Shanghai Trading Co., Ltd., where he held various positions including Technical Engineer, Project Manager, and Customer Service Manager. In 2007, he joined a Medical Instruments Subsidiary of China National Pharmaceutical Group (Sinopharm), where he served as the head of the Infection Control Division. In 2015, he founded his own company, Honjo Medical.

Over the past decade, Honjo Medical has grown into one of the leading enterprises in the field of Reusable Medical Devices Reprocessing. Its software products - such as the "AtCentral Sterile Supply Traceability and Quality Management System" and the "RoMAI Intelligent Sterile Supply Operation Platform" - as well as AI tool like "CSSDGPT, a generative AI model for sterile processing," and a fleet of robots (including collection robots, transport robots, loading/unloading robots, packing robots, dispatch robots, and storage robots), are now deployed in hundreds of hospitals.

Mr. Qin possesses in-depth expertise and insight into every step of the reusable medical device reprocessing workflow. He has played a key role in the development and formulation of multiple national standards for Central Sterile Supply Departments (CSSDs) and has frequently delivered presentations at both domestic and international forums and workshops related to sterile processing.