Keynote Speakers & Invited Speaker

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Keynote Speaker I

Prof. Qing Li (IEEE Fellow)
The Hong Kong Polytechnic University, Hong Kong, China

Qing Li received the B.Eng. degree in computer science from the Hunan University (Changsha), China, and the M.Sc. and Ph.D. degrees in computer science from the University of Southern California (Los Angeles), USA. He is a Chair Professor and the Head of Department of Computing, the Hong Kong Polytechnic University. His current research interests include multimodal data mining and management, conceptual data modeling, social media computing, Web services, and e-learning systems. He has authored/co-authored over 480 publications in the above areas. Prof. Li is also actively involved in the research community and has served as an associate editor of several technical journals, including IEEE Transactions on Artificial Intelligence, IEEE Transactions on Cognitive and Developmental Systems (TCDS), IEEE Transactions on Knowledge and Data Engineering (TKDE), the ACM Transactions on Internet Technology (TOIT), Data Science and Engineering, ​and World Wide Web, in addition to being a Conference and Program Chair/Co-Chair of numerous major international conferences. He is a fellow of IEEE, AAIA, and IEE/IET, in addition to being a distinguished member of CCF (China). He has sat/been sitting in the Steering Committees of ACM RecSys, IEEE U-MEDIA, DASFAA, WISE, FFD, and ICWL.

 

Keynote Speaker II

Prof. Chin-Chen Chang (IEEE Fellow)
Feng Chia University

Professor C.C. Chang obtained his Ph.D. degree in computer engineering from NCTU. He's first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in computer and decision sciences. Both were awarded in NTHU. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005. Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in NCHU, chair professor in NCCU. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan, China. Professor Chang's specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published over 1,100 papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.

Invited Speaker I

Assoc. Prof. Vincent CS Lee
Monash University, Australia

Vincent CS Lee is currently an Associate Professor (top Level D professorial) with the Department of Data Science and Artificial Intelligence, Faculty of IT, Monash University in Melbourne. In Oct 2006-July 2007 Lee was visiting Professors with School of Economics and Management, and School of Computing and Technology, Tsinghua University in Beijing.
Lee earned his PhD in Adaptive Signal Processing (1992) from The University of Newcastle, NSW in Australia. His education includes: BE and MSc(EE) (1984), both from the National University of Singapore; MBA from Henley Management College in Oxford, Brunel University, England (1990); BBus (Hons I in Economics & Finance) and MBus (Accountancy), both from RMIT University in Melbourne (1997). He is an elected Fellow of The Institute of Engineers, Australia (FIEAust), and a Senior Member of IEEE (USA).
Lee is a cross field researcher in IT, Digital Health, Signal and Information Processing, Financial Engineering (FinTech), Educational Data Mining, Explainable AI, Deep ML, Computer Vision for dynamic objects tracking, and Multi-agent Autonomous Systems. Lee has published 200+ papers in IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Signal Processing, IEEE Selected Areas in Communications, European Journal of Operational Research, Expert Systems with Applications, Neurocomputing, Journal of Educational Computing Research; and in CORE A/A* Peer-review International Conferences proceedings (AAAI, IJCAI, ICDM, ICWS, ICDE, PAKDD, CIKM, WWW, IEEE IC Signal Processing, IC-EDM).
He is currently an Associate Editor for Journal of Intelligent Manufacturing (Springer, Q1) and serving editorial boards in many scientific, IT and Engineering Q1 Journals. In recent years, Lee has served as invited keynote speakers for a number of IEEE and ACM Flagship conferences, held in Asia Pacific.

Invited Speaker II

Dr. Ching-Chun Chang
National Institute of Informatics, Japan

Ching-Chun Chang received his PhD in Computer Science from the University of Warwick, UK, in 2019. He participated in a short-term scientific mission supported by European Cooperation in Science and Technology Actions at the Faculty of Computer Science, Otto von Guericke University Magdeburg, Germany, in 2016. He was granted the Marie-Curie fellowship and participated in a research and innovation staff exchange scheme supported by Marie Skłodowska-Curie actions at the Faculty of Computer Science, New Jersey Institute of Technology, USA, in 2017. He was a Visiting Scholar with the School of Computer and Mathematics, Charles Sturt University, Australia, in 2018, and with the School of Information Technology, Deakin University, Australia, in 2019. He was a Research Fellow with the Department of Electronic Engineering, Tsinghua University, China, in 2020. He is currently a Project Assistant Professor with the National Institute of Informatics, Japan. His research interests include artificial intelligence, biometrics, communications, computer vision, cryptography, cybernetics, cybersecurity, evolutionary computation, forensics, information theory, linguistics, mathematical optimisation, natural language processing, privacy engineering, psychology, signal processing, steganography, time series forecasting, and watermarking, within the scope of computer science.

 

Invited Speaker III

Assistant Professor Dr. Guoming Wang
Zhejiang University, China

Dr. Wang is an Assistant Professor at Zhejiang University, specializing in multimodal intelligence, privacy-preserving machine learning, and AI-driven healthcare applications. He earned his Ph.D. in 2020 from Nanyang Technological University (Singapore), where his doctoral research focused on advanced privacy technologies, including cryptographic protocols, differential privacy, homomorphic encryption, and their implementation in secure electronic medical systems.

Since joining Zhejiang University in 2020, Dr. Wang has pioneered research in multimodal machine learning and retrieval-augmented large language models, with an emphasis on enhancing AI reasoning capabilities. His academic excellence is reflected in over 20 publications at top-tier venues such as CVPR, AAAI, ACM Multimedia (ACM MM), COLING, and IEEE Global Communications Conference (GLOBECOM), and his recent recognition as an Industry Expert at ACM MM 2024.

Translating Research into Impact:
Dr. Wang leads AI-driven medical initiatives that bridge cutting-edge technology with clinical practice:
*Developed an AI-powered healthcare system adopted by 20+ hospitals.
*Designed intelligent platforms enabling 20+ physicians to advance research in disease prediction for complex conditions including migraine, pancreatic cancer, cardiovascular disorders, pulmonary infections, and diabetic nephropathy through multimodal learning.
His work exemplifies a commitment to advancing both theoretical frontiers of machine learning and their transformative applications in global healthcare.