Harry Shum is the Council Chairman of Hong Kong University of Science and Technology. He was previously Executive Vice President of Microsoft Corporation, responsible for AI and Research until March 2020. He received his PhD in Robotics from School of Computer Science, Carnegie Mellon University. He is a Fellow of IEEE and ACM, and an international member of National Academy of Engineering and Royal Academy of Engineering.

Dr. Yong Rui is a global leader spanning the industries, technology, and academic sectors. He serves as a board member and advisor for multiple companies, universities, and venture capital firms. He is currently a Technology Advisor at the Berkeley Frontier Fund, and was formerly the Global CTO of Lenovo Group and Deputy Managing Director of Microsoft Research Asia. He founded Lenovo's first AI Lab and led a team of 15,000 R&D engineers, playing a key role in Lenovo's intelligent transformation, smart flexible devices, edge AI, smart manufacturing, and smart data centers, contributing to a threefold increase in Lenovo's stock price. He also led Microsoft’s R&D teams in Redmond and Asia-Pacific, making significant contributions to the multimedia and intelligent development of Microsoft's Digital Media, Bing Search, Video Conferencing, and Azure AI Services. He is an International Fellow of the Academia Europaea and the Canadian Academy of Engineering, and a Fellow of ACM, IEEE, AAAS, IAPR, and SPIE. He is a guest professor at Tsinghua University, Peking University, and the Chinese Academy of Sciences, and a member of the Tsinghua Entrepreneur & Executive Club (TEEC).

Taku Komura is a professor in the Department of Computer Science, The University of Hong Kong.  Before joining The University of Hong Kong in 2020, he worked at the University of Edinburgh (2006-2020), City University of Hong Kong (2002-2006) and RIKEN (2000-2002). He received his BSc, MSc and PhD in Information Science from University of Tokyo. His research has focused on data-driven character animation, physically-based animation, crowd simulation, 3D modelling, cloth animation, anatomy-based modelling and robotics. Recently, his main research interests have been on physically-based animation and the application of machine learning techniques for animation synthesis. He received the Royal Society Industry Fellowship (2014), the Google AR/VR Research Award (2017) and the SIGGRAPH Best Paper Award (2022).  

Kun Zhou, Professor at the School of Computer Science, Zhejiang University, ACM/IEEE Fellow. In 2002, he obtained a doctoral degree in engineering from Zhejiang University. In 2007, he was selected as a Changjiang Scholar Distinguished Professor by the Ministry of Education. In 2008, he was awarded the National Science Fund for Distinguished Young Scholars. He is currently the director of the National Key Laboratory of Computer Aided Design and Graphic Systems at Zhejiang University. His research fields include computer graphics, computer vision, and virtual reality. He hosted the National Natural Science Foundation Innovation Research Group Project and the National Major Scientific Instrument Development Project. He has won two second prizes of the the State Natural Science Award, Chen Jiageng Youth Science Award, Science Exploration Award, ACM SIGGRAPH Test of Time Award, MIT TR35 Award and other domestic and foreign awards.

Ajay Kumar is a Professor in the Department of Data Science and Artificial Intelligence at The Hong Kong Polytechnic University. He earned his B.Eng. and M.Eng. degrees before completing his Ph.D. at The University of Hong Kong in 2001. His research focuses on biometrics, particularly contactless fingerprint and palm biometrics, iris recognition, and multimodal systems. Prof. Kumar holds seven U.S. patents and has authored a book on ‘Contactless 3D fingerprint identification’ and another on ‘Iris and Periocular Recognition using Deep Learning’. He has served as President of the IEEE Biometrics Council (2021-2022) and held editorial roles with leading IEEE journals. Prof. Kumar is a Fellow of IEEE and IAPR. He has received multiple awards for research excellence and actively contributes to major international conferences in his field.

Chunhua Shen is a Chair Professor at Zhejiang University since 2022. Prior to that, he was with The University of Adelaide, NICTA and Australian National University. His research mainly focuses on Machine Learning and Computer Vision. He demonstrated innovative approaches to translate research for economic and societal gain.  A recent example is the work he did with a leading mobile phone company on the development of image parsing techniques for AI driven photography –-- which was successfully deployed to over tens of millions mobile phones. His PhD student alumni are now in tenured or tenure track roles in 30+ universities in China, Australia, Singapore. His Google scholar citation is 90,000+ with H index 146.