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First Round of Abstract Submission Ends: Jul 30, 2025
Extended Early Bird Ends: Dec 28, 2024

Plenary Speakers

Prof. Yuan-Ting Zhang
Chinese University of Hong Kong, Hong Kong
Title: Health Engineering: from Tonoarteriography to Intelligent Systems for Hypertension and CVD Screening
Yuan-Ting Zhang is currently a Professor in the Department of Electronic Engineering at the Chinese University of Hong Kong, Visiting Professor at Oxford Suzhou Centre for Advanced Research (OSCAR), a MWLC-LRG member of Karolinska Institutet, Chief Scientist/Advisor in unobtrusive blood pressure measuring technology at the Shenzhen Honor Mobile Terminal LtD, the Chief Scientist of Guangdong Medical University, and the founding Chairman and Director of Hong Kong Center for Cerebrocardiovascular Health Engineering under the InnoHK clusters. He served as the Sensing System Architect in Health Technology and Sensing Hardware Divisions at Apple Inc., California, USA, the founding Director of the Key Lab for Health Informatics of Chinese Academy of Sciences (CAS), the founding Director of CAS-SIAT Institute of Biomedical and Health Engineering, Chair Professor at CityU, and Adjunct Chair Professor at Shandong University. Professor Zhang dedicated his service to the Chinese University of Hong Kong from 1994 to 2015, where he served as the first Head of the Division of Biomedical Engineering and led the efforts on establishing educational degree Programmes in Biomedical Engineering. Professor Zhang has been the Chair of the IEEE 1708 Standard Working Group for developing an international standard on Wearable Cuffless BP Measuring Devices since 2007 and became recently a member of European Society of Hypertension Working Group on Blood Pressure Monitoring and Cardiovascular Variability and a member of ISO Working Group on cuffless BP devices. He serves currently as Editor-in-Chief (EiC) for Connected Health and Telemedicine (CHATmed) starting in 2023. He was the EiC for IEEE T-ITB, the founding EiC of IEEE J-BHI, and the EiC for IEEE R-BME. He served as Vice President of IEEE EMBS, the Chair of 2016-2018 IEEE Award Committee in Biomedical Engineering, a member of IEEE Medal Panel for Healthcare Technology Award, and the award committee of IAMBE. He has been the main organizer for 22 editions of the Annual IEEE EMBS Summer School and Symposium on Medical Devices and Biosensors (MDBS) since 2002. Professor Zhang served as Technical Program Chair of EMBC’98 in Hong Kong, Conference Chair of EMBC’05 in Shanghai, International Committee Co-Chair of EMBC’07 in Lyon, International Committee Chair of EMBC’ 11 in Boston, International Committee Chair of EMBC’13 in Osaka, and Technical Program Committee Co-Chair of EMBC’17 in Jeju Island. He was invited to give numerous talks at various international conferences worldwide including those at the First IEEE Life Sciences Grand Challenges Conference held at the National Academy ofSciences in Washington DC in 2012, at the 40th IEEE-EMBS Annual International Conference (EMBC’18) in Hawaii in 2018, Earl Owen Lecture at SMIT-IBEC2018 in Korea, and at the 2019 Conference on Wearable Devices for Medical Diagnosis held at IIT in Israel. Professor Zhang's research interests include unobtrusive sensing, wearable devices, tonoarteriography/cBP, and neural physiological modeling. He was selected on the lists of China’s Most Cited Researchers in Biomedical Engineering by Elsevier, the top 2% researcher worldwide by Stanford University, and ranked No. 1 researcher in cuffless BP technology during the last 30 years from 1990 to 2020. He won a number of national and international awards including IEEE-EMBS best journal paper awards, IEEE-EMBS Outstanding Service Award, IEEE-SA 2014 Emerging Technology Award, IEEE-EMBS Chapter Award in Greece, Asia-Pacific E-Medicine Technology Grand Award in Australia, Earl Owen Lecture at SMITIBEC2018 in Korea, and most recently he won the 2023 IEEE EMBS William J. Morlock Award. Prof. Zhang is elected as IAMBE Fellow, IEEE Fellow, AIMBE Fellow and AAIA Fellow for his contributions to the development of wearable and mHealth technologies. Processor Zhang completed his undergraduate studies and master degree in the area of telecommunications at Shandong University and PhD in electrical and computer engineering with specialization in biomedical engineering at University of New Brunswick, Canada.
Prof. Tak Shing CHING
National Chung Hsing University, Taiwan
Title: Electrical impedance spectroscopy for non-invasive bio-medical screening and detection
Professor Tak Shing Ching obtained his BSc (Hons) in Prosthetics and Orthotics with first class honor from The Hong Kong Polytechnic University (PolyU) in 1999 and received his MPhil in Biomedical Engineering from PolyU in 2002. He went on to gain a PhD in Bioengineering from the University of Strathclyde, Glasgow, UK, in 2005. His main interests in research are in the area of biomedical instrumentation design, biosensors, tissue bioimpedance, biomedical electronics, biomedical optoelectronic, AIoT healthcare, assistive healthcare technologies, as well as non-invasive and transdermal metabolites/biomarkers extraction and drugs delivery.
Prof. Kibret Mequanint
University of Western Ontario, Canada
Title: Engineered Biomaterials for Tissue Repair
Dr. Kibret Mequanint, a Professor in the Department of Chemical and Biochemical Engineering and the School of Biomedical Engineering at the University of Western Ontario, Canada, is a globally recognized figure in the field. His research in biomaterials, drug delivery, tissue engineering, and regenerative medicine has been published in over 230 research articles and proceedings, and he has delivered more than 80 invited talks at major international conferences and research institutions. His work has been acknowledged with major awards nationally and internationally, including the Engineering Medal for Research and Development from the Ontario Society of Professional Engineers (Canada), the Engineering Research Excellence Award from the University of Western Ontario, and the Ontario Premier's Research Excellence Award from the Government of Ontario, Canada. His international recognition is further evidenced by his election as a fellow of the American Institutes for Medical and Biological Engineering (AIMBE), a fellow of the Canadian Academy of Engineering (CAE), a fellow of the Ethiopian Academy of Sciences (EAS), a fellow of the International Union of Societies for Biomaterials Science and Engineering (BSE), a fellow of the European Alliance for Innovation (EAI), and a fellow of Industry Academy of the International Artificial Intelligence Industry Alliance (AIIA).
Prof. Karol Miller
The University of Western Australia
Title: Will be update soon
Karol Miller is a Winthrop Professor of Applied Mechanics at The University of Western Australia and until December 2023 he had been a Visiting Professor of Radiology at Harvard Medical School. Karol was born and educated in Warsaw, Poland. He has MSc in aerospace engineering, PhD in robotics and DSc in biomechanics. In 2002 Karol established the Intelligent Systems for Medicine Laboratory. ISML’s mission is to work towards improving clinical outcomes through development and appropriate use of technology. It runs exciting research projects funded by the Australian Research Council, the National Health and Medical Research Council (Australia), the National Institute of Health (USA) and other national and international agencies. The overall objective of his research is to help creating methods and tools which will enable a new exciting era of personalised medicine. He is best known for his work on biomechanics of the brain. He is the world’s most cited researcher in this area. Karol’s research and teaching have been recognised by multiple awards, including the Humboldt Research Award, NVIDIA GPU Computing Champion Award, the Simulation Industry Association Australia Award, the Sir Charles Julius Medal, the Polish Prime Minister Award, the UWA Faculty of Engineering Computing and Mathematics Teaching Award and the UWA Student Guild Choice Award. Karol has been a member of National Health and Medical Research Council panel for medical technology (Investigator and Ideas grants), Australian Research Council College of Experts and Australian Research Council Medical Research Advisory Panel. He is also the Editor of Computational Biomechanics for Medicine Springer book series and served as an Associate Editor of International Journal for Numerical Methods in Biomedical Engineering and Annals of Biomedical Engineering.
Prof. Jie YANG
Shanghai Jiaotong University, China
Title: Recent research work on AI medical diagnosis
Jie Yang received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University (SJTU), where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. Now he is the Professor and Director of Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence. He has published six books,more than five hundreds of articles in national or international academic journals and conferences. Google citation 24964,H-index 81. Up to now, he has supervised 5 postdoctoral, 46 doctors and 70 masters, awarded six research achievement prizes from ministry of Education, China and Shanghai municipality. Two Ph.D. dissertation he supervised was evaluated as “National Best Ph.D. Dissertation” in 2009 and in 2017. Two Ph.D. dissertations he supervised were evaluated as “Shanghai Best Ph.D. Dissertation” in 2009 and 2010. He has owned 48 patents.
Prof. Wen-Lian Hsu
Asia University, Taiwan
Title: Will be update soon
Dr. Wen-Lian Hsu is a Chair Professor in the Department of Computer Science and Information Engineering at Asia University, Taiwan. He earned his Ph.D. in Operations Research from Cornell University and served as a tenured Associate Professor at Northwestern University before joining the Institute of Information Science at Academia Sinica, where he served as Director from 2012 to 2018. Dr. Hsu’s early contributions focused on graph algorithms. In 1993, he developed a software system called GOING, which revolutionized Chinese input methods on computers in Taiwan. Building on similar semantic analysis techniques, he later advanced research in question answering and chatbot systems. Dr. Hsu is particularly renowned for applying natural language processing (NLP) techniques to Chinese language processing and biological literature mining. Under his leadership, his research team has achieved first-place rankings in numerous international competitions, including protein named entity recognition (NER), biological relation extraction, recognition of inference in Chinese text, Chinese question answering, NER, and word segmentation. Dr. Hsu’s recent research focuses on advancing the deep understanding of natural language. His projects include commonsense reasoning in primary school mathematics, relation extraction for protein-protein interactions, and the annotation of electronic medical records. Dr. Hsu has received many prestigious awards in recognition of his contributions to academic research. These include the Outstanding Research Awards from the National Science Council (NSC) in 1991, 1994, and 1996, the inaugural K. T. Li Research Breakthrough Award in 1999, the NSC Appointed Distinguished Research Fellow Award in 2005, the IEEE Fellowship in 2006, and the Teco Award in 2008. Additionally, he served as the President of the Artificial Intelligence Society of Taiwan from 2001 to 2002 and as the President of the Computational Linguistics Society of Taiwan from 2011 to 2012.