Keynote Speaker

Ruqian Lu 陆汝钤

Academician, Chinese Academy of Sciences
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China

Biography

Ruqian Lu was born in Shanghai in 1935. He graduated from the Department of Mathematics at the University of Jena, Germany, in 1959 and joined the Institute of Mathematics of the Chinese Academy of Sciences in the same year. He was elected an Academician of the Chinese Academy of Sciences in 1999.

He has published more than 200 papers and 20 monographs in Chinese and English as an author, translator, or editor-in-chief.

His honors include the Advanced Collective Award at the National Science Conference in 1978, for which he served as the leader of the award-winning team; the Major Scientific Research Achievement Award of the Chinese Academy of Sciences in 1983; the First Prize of the Science and Technology Progress Award of the Chinese Academy of Sciences in 1992; the Second Prize of the National Science and Technology Progress Award in 1993; the Hua Loo-Keng Mathematics Prize in 2003; and the Lifetime Achievement Award of the China Computer Federation (CCF) in 2014. In 2018, he received the CCF Outstanding Contribution Award for serving as editor-in-chief of the third edition of Computer Science and Technology Terminology, as well as the inaugural Wu Wenjun Artificial Intelligence Highest Achievement Award. In 2022, he received another CCF Outstanding Contribution Award on the occasion of the federation's 60th anniversary.

Keynote Speaker

Yi Pan 潘毅

Founding Dean and Chair Professor, Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology
Chief Scientist, High Performance Computing Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Director, Guangdong Key Laboratory for Intelligent Analysis of Biomedical Big Data
Director, Shenzhen Key Laboratory of Intelligent Bioinformatics

Biography

Dr. Yi Pan is the Founding Dean and Chair Professor of the Faculty of Computer Science and Control Engineering at Shenzhen University of Advanced Technology. He is also Chief Scientist of the High Performance Computing Center at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Director of the Guangdong Key Laboratory for Intelligent Analysis of Biomedical Big Data, and Director of the Shenzhen Key Laboratory of Intelligent Bioinformatics.

He is a Fellow of the American Institute for Medical and Biological Engineering, a Fellow of the U.S. National Academy of Artificial Intelligence, a Member of the European Academy of Sciences and Arts, a Foreign Member of the Ukrainian Academy of Engineering Sciences, and a Fellow of the Royal Society for Public Health. He is also a Distinguished Fellow of the International Engineering and Technology Institute, a Fellow of the Institution of Engineering and Technology, a Fellow of the Asia-Pacific Artificial Intelligence Association, a Fellow of the Asian Computational Intelligence Society, a Fellow of the International Artificial Intelligence Industry Alliance, and a Fellow of the Japan Society for the Promotion of Science. He has been recognized as a Yangtze River Scholar and a National Distinguished Expert.

Prof. Pan has been selected among the world's top 0.05% of scholars and included in the list of the world's top 1,000 computer scientists. Over the past five years, ScholarGPS has ranked him as the world's No. 4 scholar in computational biology. His academic work has received more than 30,000 citations, and his current h-index is 106.

Keynote Speaker

Tianzi Jiang 蒋田仔

Title & Affiliation

Professor and Director, Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, and Director of International Institute of Brain-Machine Intelligence, Harbin Institute of Technology (Shenzhen), China.

Research Interests

Multimodal and cross-scale brain atlas mapping; brain-computer integration based on brain atlases; early prediction and precision treatment of brain disorders.

Biography

Tianzi Jiang is Professor and Director of Beijing Key Laboratory of Brainnetome and Brain-Computer Interface at the Institute of Automation, Chinese Academy of Sciences, and Director of International Institute of Brain-Machine Intelligence at Harbin Institute of Technology (Shenzhen). He obtained his Ph.D. degree from Zhejiang University and his B.Sc. degree from Lanzhou University. His research interests include neuroimaging, Brainnetome, digital twin brain, neuromodulation methods and devices, and their clinical applications in brain disorders.

He served as Chair of the Organization for Human Brain Mapping. He was elected a member of Academia Europaea and a Fellow of IEEE, IAPR, and AIMBE. He has published over 350 peer-reviewed journal papers. He is a recipient of the Glass Brain Award, Hermann von Helmholtz Award, Turan Itil Career Contribution Award, and the Natural Science Award of China.

Keynote Speaker

Ningli Wang 王宁利

Academician, Chinese Academy of Engineering
Academician, Academia Ophthalmologica Internationalis
President, Henan Academy of Medical Sciences
Director, Ophthalmology Center, Beijing Tongren Hospital
Dean, School of Ophthalmology, Capital Medical University

Keynote Title

Practical Exploration and Innovative Applications of FUXI AI: Progress, Challenges, and Future Directions

Biography

Ningli Wang is an Academician of the Chinese Academy of Engineering and Academia Ophthalmologica Internationalis. He serves as President of the Henan Academy of Medical Sciences and Chair of its Academic Committee, Director of the Ophthalmology Center at Beijing Tongren Hospital, Dean of the School of Ophthalmology at Capital Medical University, and Director of the National Engineering Research Center for Ophthalmic Diagnosis and Treatment. He is also a member of the Academic Advisory Committee of the Chinese Academy of Medical Sciences, a National Distinguished Physician, and President of the World Glaucoma Association. He is the only scholar from mainland China to have been elected President of both the World Glaucoma Association and the Asia-Pacific Academy of Ophthalmology.

He has published 378 SCI-indexed papers as first or corresponding author, including 14 papers in Cell and journals within the Nature, The Lancet, Cell, JAMA, and New England Journal of Medicine families. His publications have received 32,554 citations from other authors, with an h-index of 88. His research findings have been incorporated into 18 international consensus statements and guidelines. He has been named an Elsevier Highly Cited Chinese Researcher for 11 consecutive years and is the only scholar from mainland China included in the list of global ophthalmology leaders of the 21st century.

He has undertaken 16 major and key research projects and served as editor-in-chief of seven nationally standardized textbooks and three international monographs. He has led the development of 19 consensus statements, six guidelines, and one association standard, and co-developed two international guidelines. As first inventor, he holds 43 granted patents, including 17 invention patents, with 19 patents transferred or commercialized.

As the leading contributor, he has received two Second Prizes of the National Science and Technology Progress Award, five First Prizes at the provincial or ministerial level, the Ho Leung Ho Lee Science and Technology Award, and the Guanghua Engineering Science and Technology Award. He has also received four international awards, including the International Agency for the Prevention of Blindness Vision Excellence Award.

Keynote Speaker

Kenli Li 李肯立

Professor and Vice President, Hunan University
Director, National Supercomputing Center in Changsha

Biography

Professor Kenli Li is Vice President of Hunan University and Director of the National Supercomputing Center in Changsha. He is a CCF Fellow, a recipient of the Baogang Outstanding Teacher Award, an Elsevier Highly Cited Chinese Researcher and a recipient of the State Council Special Government Allowance. He leads the Ministry of Education's Innovation and Talent Recruitment Base for High-Efficiency Computing and directs its Engineering Research Center for High-Performance Computing Application Software Technology.

He serves as Vice President of the National Supercomputing Innovation Alliance, a member of the Expert Committee of the New Generation Artificial Intelligence Industry Technology Innovation Strategic Alliance and a member of the General Expert Group for the National Key Research and Development Program on High-Performance Computing. He is an associate editor of IEEE Transactions on Computers, IEEE Transactions on Sustainable Computing and IEEE Transactions on Industrial Informatics, and serves on the editorial board of the Journal of Computer Research and Development.

He has led more than ten national and provincial or ministerial projects, including an Innovative Research Group project of the National Natural Science Foundation of China, a key JWKJW project and the Ministry of Education's Disciplinary Breakthrough Program. His honors include a second prize of the State Scientific and Technological Progress Award and the China Patent Gold Award. His research focuses on high-performance intelligent computing software and applications. He has published more than 150 papers in IEEE and ACM transactions and holds more than 90 authorized patents and software copyrights.

Keynote Speaker

Jun Yan 闫峻

Professor of Biostatistics, City University of Hong Kong
Chief Scientist, Institute of Digital Medicine
Deputy Director, Hong Kong Institute of AI for Science

Biography

Dr. Jun Yan received his Ph.D. from the School of Mathematical Sciences at Peking University in 2006. He formerly served as a Research Assistant at Harvard University, a Senior Research Manager at Microsoft Research Asia, and as Executive Director, Chief Technology Officer, and Chief AI Scientist at Yidu Tech (HK.02158). He is currently a Professor in the Department of Biostatistics at City University of Hong Kong, Chief Scientist of the Institute of Digital Medicine, and Deputy Director of the Hong Kong Institute of AI for Science.

His research interests include knowledge mining in artificial intelligence, dataset construction and representation for AI model training, optimization of model training based on matrix computation, and information retrieval and recommendation. To date, he has been granted dozens of domestic and international technical patents and has published over 150 high-quality academic papers.

He has served as Deputy Director of the Microsoft-Peking University Joint Laboratory and was one of the early initiators of the OPENKG organization. He is currently Vice Chair of the Medical and Health Bioinformatics Professional Committee of the Chinese Information Processing Society. He also serves as Chief Scientist of the Big Data Research Institute at Chongqing Medical University, Guest Researcher at the Institute for AI Industry Research (AIR) of Tsinghua University, and Innovation and Entrepreneurship Mentor at the School of Nursing of Peking University. He is a co-recipient of the ACM Seoul Test-of-Time Award.

Keynote Speaker

Feng Liu 刘峰

Professor, School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
The University of Queensland, Australia

Biography

Professor Feng Liu currently serves as a Professor at the School of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology, The University of Queensland (UQ), Australia.

He received his Ph.D. in Biomedical Engineering from Zhejiang University in 2000 and joined The University of Queensland as a postdoctoral researcher in the same year. For more than two decades, he has dedicated his research to magnetic resonance imaging (MRI) technologies.

He has published nearly 300 journal articles and holds multiple patents, with several core technologies successfully translated into industrial applications. Professor Liu is a recipient of the Australian Research Council (ARC) Outstanding Research Award.

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Keynote Speaker

Song Xue 薛嵩

Assistant Researcher and Head of Artificial Intelligence
Department of Biomedical Imaging and Image-guided Therapy
Medical University of Vienna / Vienna General Hospital

Biography

Dr. Song Xue is an Assistant Researcher in Nuclear Medicine and Head of Artificial Intelligence at the Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna / Vienna General Hospital. His interdisciplinary research integrates artificial intelligence with nuclear medicine, focusing on intelligent quantitative methods for precision diagnosis and personalized treatment. His work centers on an imaging representation–treatment prediction–outcome feedback framework that transforms molecular imaging from descriptive observation into interpretable, computable and actionable biological representations.

He has led the development of AI methods tailored to nuclear medicine, including multi-tracer representation learning, whole-body metabolic network modeling, generative neuroimaging analysis, multi-agent report generation, radionuclide therapy dose prediction, ultra-low-dose PET enhancement, CT-free PET reconstruction and automated quantitative analysis.

Dr. Xue holds an interdisciplinary background in biomedical engineering, medical imaging and artificial intelligence. He received his Ph.D. from the University of Bern and was a visiting postdoctoral researcher at Massachusetts General Hospital, Harvard University. He has published more than ten papers as first, co-first and/or corresponding author in journals including Nature Communications, European Journal of Nuclear Medicine and Molecular Imaging and Journal of Nuclear Medicine. He has filed or received eight intellectual property rights, including one PCT international patent. He also initiated a multicenter study, founded the UDPET international consortium and organized international challenges at MICCAI and IEEE MIC.