Keynote Speakers

Keynote Speakers (Alphabetize by Last Name)


Prof. Jiawei Jia, Chair Professor, IEEE Fellow
Dean of Institute of Artificial Intelligence and Future Networks
Director of Interdisciplinary Intelligent Supercomputing Center
Beijing Normal University, (BNU-Zhuhai), China

Short Bio: Prof. Weijia Jia is currently a Vice President and Chair Professor at Beijing Normal University (BNU)-Hong Kong Baptist University (HKBU) United International College (UIC), and a Professor at BNU in Zhuhai, China. He also serves as the Director of the Joint BNU-UIC Institute of Artificial Intelligence and Future Networking. Previously, he held positions as Chair Professor and Deputy Director of the State Key Laboratory of Internet of Things for Smart City at the University of Macau and Zhiyuan Chair Professor at Shanghai Jiaotong University. Prof. Jia holds a BSc and MSc from Central South University, China, and a PhD in Computer Science from the Polytechnic Faculty of Mons, Belgium. He has published over 500 papers in prestigious journals and conferences, with a current H-index of 67 and more than 15,000 citations. His research focuses on AI theory and algorithms, including NLP, optimal network routing, intelligent edge computing, and sensor networking. He has received numerous awards, including the 1st Prize of Scientific Research from China's Ministry of Education in 2017 and multiple provincial science and technology awards. Prof. Jia is a Fellow of IEEE, a Distinguished Member of the China Computer Federation (CCF), and has been recognized among the Top 2% of life scientists on the Stanford List (2020-2022).

Prof. Ping Li
The Hong Kong Polytechnic University, Hong Kong, China

Short Bio: Dr. Ping LI, National Distinguished Young Expert, is currently an Assistant Professor with the Department of Computing and an Assistant Professor with the School of Design, The Hong Kong Polytechnic University, Kowloon, Hong Kong. Prior to that, he was an Assistant Professor at the Macau University of Science and Technology, Taipa, Macau, and a Lecturer at The Education University of Hong Kong, Tai Po, Hong Kong. Dr. Li received his Ph.D. degree in CSE from The Chinese University of Hong Kong, Shatin, Hong Kong. He has published over 150 top-tier vision and graphics papers refereed, including IEEE TVCG, TIP, TNNLS, TMI, TMM, TCSVT, TCYB, TBME, TSMC, TII, CVPR, NeurIPS, AAAI, ACM SIGGRAPH VRCAI. He has an excellent Creative Media project reported worldwide by Science News Line, ScienceWeek, Science Bulletin, EurekAlert!, ACM TechNews, etc. His current research interests are computer vision and creative media, including image/video stylization, colorization, artistic rendering and synthesis, computational art, interactive design, big data visualization, human-computer interaction, 2D/3D animation, GPU acceleration, virtual and augmented reality.

Prof. Shengdong Zhao
City University of Hong Kong, Hong Kong, China
Speech Title: Heads-Up Computing: Towards the Next Interaction Paradigm for Wearable Intelligent Assistants

Short Bio: Shengdong Zhao is a Professor in the School of Creative Media and the Department of Computer Science at City University of Hong Kong. He established and led the Synteraction (formerly NUS-HCI) research lab in 2009 at the National University of Singapore. Prof. Zhao received his Ph.D. in Computer Science from the University of Toronto and a Master's degree in Information Management Systems from the University of California, Berkeley. With extensive experience in developing innovative interface tools and applications, Prof. Zhao is a regular contributor to top-tier HCI conferences and journals like CHI, ToCHI, Ubicomp/IMWUT, CSCW, UIST, and IUI. He served as a senior consultant with Huawei Consumer Business Group in 2017. An active member of the HCI community, Prof. Zhao serves on program committees for major HCI conferences and was the paper co-chair for ACM SIGCHI conference in 2019 and 2020, and is the paper co-chair for ACM UIST conference in 2025. Prof. Zhao introduced the concept of Heads-up Computing in 2017, contributing to several key projects and publications in this area, including a featured article on heads-up computing in the September 2023 issue of Communications of the ACM. His research aims to develop innovative interface tools that enhance daily life through this new interaction paradigm. For more information about his work, please visit www.shengdongzhao.com.
Abstract: Heads-up computing, an emerging paradigm in human-computer interaction (HCI), aims to create seamless interactions with technology through wearable intelligent assistants. This vision relies on three crucial components: (1) bodily compatible hardware, (2) multimodal complementary interactions, and (3) interfaces that accommodate fragmented attention and are aware of potential resources. Recent advancements in large language models (LLMs) have significantly accelerated progress in these areas, enabling more natural, context-aware, and proactive systems. These developments are pushing heads-up computing beyond simple notifications to complex, multi-modal interactions that blend seamlessly with our environment and daily activities, allowing for efficient information processing in everyday life. However, as we integrate these AI-driven assistants more deeply into our lives, we must carefully consider ethical implications such as privacy and cognitive load. Balancing technological advancement with human-centered principles is crucial to create systems that enhance productivity while respecting user autonomy and well-being, ultimately augmenting human capabilities without compromising fundamental values.

Prof. Hong Zhang, Chair Professor, IEEE Fellow
Fellow, Canadian Academy of Engineering
Southern University of Science and Technology (SUSTech), China

Short Bio: Dr. ZHANG Hong is currently a Chair Professor in the Department of Electronic and Electrical Engineering at Southern University of Science and Technology (SUSTech) where he directs “Shenzhen Key Laboratory on Robotics and Computer Vision”. His research interests include robotics, autonomous vehicles, computer vision, and image processing. Prior to joining SUSTech, he was a Professor in the Department of Computing Science, University of Alberta, Canada, where he worked for over 30 years. He held an NSERC Industrial Research Chair from 2003-2017, and made significant contributions in robotics research. He served as the Editor-in-Chief of IROS Conference Paper Review Board, a flagship conference of the IEEE Robotics and Automation Society (RAS), from 2020-2022. He is currently serving a three-year term as a member of the Administrative Committee (AdCom) of IEEE RAS (2023-2025). In recognition of his many contributions, Dr. Zhang was elected a Fellow of IEEE and a Fellow of the Canadian Academy of Engineering.



Keynote Speakers in Past CEII



Prof. ChingYee Suen, IEEE Fellow
Concordia University
Prof. Li Zhang, IEEE Fellow, AAIA Fellow
The Chinese University of Hong Kong
Prof. Gang Feng, IEEE Fellow
City University of Hong Kong

Prof. Ron Sun, IEEE Fellow
Rensselaer Polytechnic Institute, USA

Prof. Yinqiang Zheng
The University of Tokyo

Prof. Yi Pan, AIMBE Fellow, IET Fellow
Shenzhen Institue of Advanced Technology

Prof. Minghua Cheng, IEEE Fellow
City University of Hong Kong

Assoc. Prof. Yiwen Wang
Hong Kong University of Science and Technology, China

Prof. Dong Xu
University of Missouri, USA

Prof. Kun Yang, IEEE Fellow
University of Essex, UK

Assoc. Prof. Man-Ching Yuen
Hong Kong Shue Yan University, China

Prof. Huiyu Zhou
University of Leicester, UK