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Dr. Wan Renjie is an Assistant Professor in the Department of Computer Science at the Faculty of Science, Hong Kong Baptist University (HKBU). He holds a BEng in Network Engineering from the University of Electronic Science and Technology of China and a PhD from Nanyang Technological University (NTU), Singapore. Prior to joining HKBU, he was a Wallenberg-NTU Presidential Postdoctoral Fellow (2020–2022) and a guest researcher at Peking University (2019–2020). His research focuses on computational photography, 3D vision, AI security, digital watermarking, and neural representations . He explores robustness and security in vision models, especially concerning NeRFs and 3D Gaussian Splatting, and develops methods for low-light enhancement, reflection removal, and domain adaptation. Dr. Wan has published in top-tier venues including TPAMI, IJCV, CVPR, ICCV, NeurIPS, AAAI, and ECCV . His recent work emphasizes copyright protection for neural 3D models , adversarial attacks in multimodal and event-based systems, and medical image reconstruction. He is actively mentoring PhD students and research assistants. VCIP 2020 Best Paper Award Outstanding Reviewer, ICCV 2019 He teaches courses such as Introduction to AI and ML (COMP3057) , AI Application Development (COMP3065) , and Python for Data Analysis and Machine Intelligence (COMP7035) . Dr. Wan leads a dynamic research group with ongoing projects on watermarking, 3D reconstruction, and AI security, and he is currently recruiting new PhD students and research assistants.

• Computational Photography
• 3D Vision
• AI Security
• +12 more

Rynson W.H. Lau is a Professor of Computer Science at City University of Hong Kong (CityU), leading research in Computer Graphics, Computer Vision, and Deep Learning. He holds an Honorary Professorship at Swansea University. Previously, he served on faculties at Durham University and The Hong Kong Polytechnic University. His work focuses on advancing graphics and vision techniques, including deep learning applications for graphics/vision problems, with publications in top venues like SIGGRAPH, CVPR, and NeurIPS. He has received the Adobe Research Gift (2023) and the Springer Nature Editorial Contribution Award (2025) for his editorial contributions to the International Journal of Computer Vision . Education: B.Sc. (First-class Honors) in Computer Systems Engineering from University of Kent Ph.D. in Computer Science from University of Cambridge Research Interests: Computer Graphics: Focused on 3D reconstruction, rendering, and real-time performance capture. Computer Vision: Specializing in saliency detection, object recognition, and low-light scene enhancement. Deep Learning: Developing generative models and diffusion-based frameworks for graphics and vision tasks. Editorial Roles: Editorial Board Member, International Journal of Computer Vision and IET Computer Vision . Guest Editor for special issues in journals like ACM Transactions on Internet Technology and IEEE Transactions on Multimedia. Teaching: 2024/25 Academic Year: CS4185: Multimedia Technologies and Applications CS4188/CS5188: Virtual Reality Technologies and Applications Research Team: Advises over 20+ students and collaborates internationally. Recent projects include AI-driven VR systems for healthcare and advanced 3D content generation using diffusion models.

• Computer Graphics
• Computer Vision
• Deep Learning
• +3 more

Prof. Yan Tina Luximon is a Full Professor and Associate Dean (Research) at the School of Design, The Hong Kong Polytechnic University. She chairs the School Research Committee, leads the Asian Ergonomics Design Lab, and serves as Deputy Discipline Leader for BA (Product Design). Her work bridges ergonomics, AI design tools, and 3D human modeling in cross-cultural contexts. Education: PhD in Ergonomics from The Hong Kong University of Science and Technology Research interests span Ergonomics in product design 3D digital human modeling for AI applications Anthropometry and cultural design differences Statistical modeling for head/face product development Human-computer interaction and AI visualization Recent publications focus on AI-enhanced 3D head modeling, ergonomic healthtech products, and cross-cultural design psychology, with applications in robotics, mobile technology, and medical devices. Scientific awards include: Gold Medal with jury congratulations at Geneva Inventions 2024 Silver Award at IDEA 2023 for adaptive eyewear design Best Innovation Award at ACED Japan 2017 She supervises postgraduate research and leads projects funded by the General Research Fund (RGC GRF) and Laboratory for AI in Design, including AI Powered Ergonomic Product Design (2025) and 4D Head Movement Prediction (2024).

• Ergonomic design
• Anthropometry
• 3D digital human modeling
• +6 more

Dr. Can Liu is an Assistant Professor at the School of Creative Media, City University of Hong Kong, where she leads the ERFI Lab (Laboratory of Empirical Research for Future Interfaces). Her research focuses on designing future interfaces for ubiquitous technologies through empirical understanding of human cognition and behavior, with emphasis on multimodal interaction combining physical and digital elements. Education: PhD in Human-Computer Interaction, Université Paris-Sud (France), INRIA labs ex)situ and ILDA MSc in Media Informatics, RWTH Aachen University (Germany) Dr. Liu's research spans three primary domains: AI-assisted Input (using LLMs/NLP to enhance text manipulation and speech interfaces), Spatial Computing (multimodal interfaces for AR/VR and large displays), and Hybrid/Remote Collaboration (supporting intuitive remote interaction through understanding collocated collaboration). Her work integrates empirical user studies with real-world system deployments in public spaces. Recent publications demonstrate strong trends toward LLM-integrated interfaces, wearable computing applications, and novel interaction techniques for foldable devices. Her team consistently publishes at top venues including CHI, UIST, and CSCW, with increasing focus on practical AI integration for everyday tasks. Awards and Recognition: Best Paper Award at ACM CHI 2014 (top 1%) Honourable Mention at ACM CHI 2012 (top 5%) Dr. Liu actively mentors PhD students and researchers while securing substantial research funding including Google Faculty Research Awards, National Natural Science Foundation grants, and RGC Early Career Schemes. She serves on numerous program committees including ACM CHI (Associate Chair 2024, 2022, 2021, 2020, 2019, 2017) and co-organizes research initiatives like the HCIX Summer Research Program. Her laboratory ecosystem includes the ERFI Lab, affiliation with the Augmented Materiality Lab and Kowloon Interaction Center, and active participation in the Greater Bay HCI community, supporting both fundamental research and industry collaboration with partners including Google, Huawei, and Lenovo.

• Human-Computer Interaction
• Artificial Intelligence
• Spatial Computing
• +5 more

Professor Henry Duh is Associate Dean (Global & Industry Engagement) and Full Professor at the School of Design, The Hong Kong Polytechnic University. He also serves as Director of the PolyU-NVIDIA Joint Research Centre and Research Centre for Art and Culture Technology. PhD in Psychology, Industrial Design, and Engineering Postdoctoral Training: NASA-Johnson Space Centre His research focuses on human-centric augmented/virtual reality systems, interaction design, and immersive technologies. With over 150 publications and 6,100 citations, he explores cognitive behaviors in digital environments and develops applications for training, education, and cultural preservation. Recent publications demonstrate expertise in adaptive testing frameworks, VR locomotion mechanics, and AI-driven design tools. His work bridges psychology, computer science, and digital art through interdisciplinary approaches. Editor-in-Chief: Journal of Visual Languages and Computing (Elsevier) FAA certified Advanced Ground Instructor and Private Pilot As principal investigator, he secured millions in grants from institutions like the National Research Foundation Singapore, Australian Research Council, and Microsoft. He collaborates with CISCO, Oracle, and Microsoft to align curricula with industry needs. He has led academic units at University of Tasmania and La Trobe University, and held visiting positions at Tsinghua University and National Taiwan University.

• Augmented Reality
• Virtual Reality
• Interaction Design
• +3 more

Prof. Kenneth K.Y. Wong is an Associate Professor and Division Associate Head (AI & Data Science Division) at the School of Computing and Data Science (CDS), The University of Hong Kong. He holds a BEng from The Chinese University of Hong Kong and MPhil/PhD from the University of Cambridge in Computer Vision. His career spans over 20 years in academia, including roles as Associate Head of the Department (2008-2012) and Programme Director of the BEng(CompSci) programme (2008-2015). Research Focus: Computer Vision, Machine Learning, Medical Imaging, Generative Models Key Roles: Director of Computer Vision Laboratory, Associate Editor of IJCV His research emphasizes camera calibration, 3D model reconstruction, generative AI, and medical image understanding. Over 160 peer-reviewed publications appear in top venues like CVPR, ECCV, and TPAMI. Active in professional service, he serves on program committees of major AI/conference events. Grants include projects in medical imaging (e.g., mitral valve analysis) and autonomous driving (DriveGPT4 series). His lab focuses on cutting-edge topics like video diffusion models, text-to-image synthesis, and 3D avatar generation.

• Computer Vision
• Machine Learning
• Medical Imaging
• +5 more

Dr. Alan William Dougherty is a Lecturer at the School of Computing and Data Science, University of Hong Kong. He holds an MEng in Electronic Engineering from King’s College London (2013) and a PhD from Hong Kong Polytechnic University (2019), where he received the prestigious Hong Kong PhD Fellowship. His professional background includes engineering roles in compiler design for edge AI on FPGAs, autonomous robotic systems, and computer vision applications such as human emotion classification and 3D mesh generation from single images. Affiliations: School of Computing and Data Science (HKU) Research Interests: Computer Vision, Machine Learning, Medical Robotics, Edge AI, Autonomous Systems His research spans interdisciplinary areas including immersive online learning systems, human pose estimation using transformers, and computational material science for energy applications. Notable contributions include the SAILS platform for young learners and advanced catalyst discovery methodologies. He integrates practical engineering challenges with theoretical research to address real-world problems. Dr. Dougherty has been recognized for his work with awards such as the Hong Kong PhD Fellowship. His teaching philosophy emphasizes bridging theory and practice, fostering critical thinking in emerging tech fields.

• Computer Vision
• Machine Learning
• Medical Robotics
• +3 more

Shiqi Wang is an Associate Professor in the Department of Computer Science at City University of Hong Kong. He holds a Ph.D. from Peking University (2014) and a B.Sc. from Harbin Institute of Technology (2008). His career includes postdoctoral and research roles at the University of Waterloo, Nanyang Technological University, and Microsoft Research Asia. He specializes in semantic/visual communication, AI content management, and image/video quality assessment. Education: Ph.D. in Computer Application Technology (2014), Peking University B.Sc. in Computer Science and Technology (2008), Harbin Institute of Technology Research focuses on Large Visual-Language Models (LVLMs) , Generative Face Video Coding , and Information Forensics . Recent work includes video coding innovations, AI-driven quality assessment, and bias mitigation in facial analysis. Awards include the IEEE Multimedia Rising Star Award (2021) , NSFC Excellent Young Scientist Fund (2020) , and multiple best paper awards at IEEE conferences. He serves as Associate Editor for IEEE Transactions on Image Processing and leads MPEG standardization efforts for generative video coding. Professional activities include TPC roles at ICML, CVPR, and ACM Multimedia. His lab actively collaborates on standards for generative AI and multimedia systems, with a focus on ethical AI and cross-domain applications.

• Semantic and Visual Communication
• AI Generated Content Management
• Information Forensics and Security
• +3 more

Professor Francis C.M. Lau is a Professor at the University of Hong Kong's School of Computing and Data Science, within the Department of Computer Science. He holds an honorary professorship and has contributed extensively to academia through editorial roles and international society involvement, including pioneering the IEEE Computer Society's Distinguished Visitors Program for Asia/Pacific in 1993. His educational background includes a BSc from Acadia University and MMath/PhD from the University of Waterloo. Professor Lau's research focuses on parallel/distributed computing, wireless networks, operating systems, and computer music, with notable publications in journals like Theoretical Computer Science and Ad Hoc Networks . He has led major research grants, including a $7.5M HKU UGC Special Equipment Grant for interdisciplinary systems research. His awards include the IEEE Golden Core Recognition (1998) and the IEEE Third Millennium Medal (2000). He has served on key committees such as the Research Grant Council's engineering panel and Hong Kong Institution of Engineers' accreditation committee. His work bridges theoretical computer science with practical applications in networking, cloud computing, and cultural heritage through computational approaches to art.

• Parallel and Distributed Computing
• Wireless Networks
• Operating Systems
• +6 more

Pong C Yuen is a Professor in the Department of Computer Science and Associate Dean of Science Faculty at Hong Kong Baptist University (HKBU). He earned his B.Sc. (1989) from City Polytechnic of Hong Kong and Ph.D. (1993) from The University of Hong Kong. His academic career at HKBU spans since 1993, including a six-year term as Department Head (2011–2017). Dr. Yuen's research focuses on video surveillance , human face recognition , and biometric security and privacy . His work bridges theoretical advancements in deep learning , sparse representation , and domain adaptation with practical applications in medical imaging and human-computer interaction . Recent publications included in this summary demonstrate expertise in unsupervised learning for person re-identification, adversarial domain adaptation for anti-spoofing, and physiological signal analysis for biometric security. These works span venues like IEEE Transactions on Image Processing (TIP) , CVPR , and AAAI . Scientific awards include: University Fellowship (1996) Outstanding Editorial Board Service Award (2018) Guangdong Province First-prize Natural Science Award Ministry of Education China Second-prize Natural Science Award Fellow of IAPR As an educator, Dr. Yuen has taught courses ranging from fundamental programming to graduate-level medical image processing , with a focus on interdisciplinary applications. He has served as Editorial Board Member for journals like Pattern Recognition and SPIE Journal of Electronic Imaging , and as Vice President (Technical Activities) of the IEEE Biometrics Council.

• Video Surveillance
• Human Face Recognition
• Biometric Security and Privacy
• +3 more

Roles & Affiliations: Professor of Computer Graphics at the Department of Computer Science, University of Hong Kong (since 2020). Previously at University of Edinburgh (2006-2020), City University of Hong Kong (2002-2020), and RIKEN (2000-2002). Holds a BSc, MSc, and DSc in Information Science from the University of Tokyo. Research Interests: Focuses on physically-based animation, character animation, 3D modeling, cloth animation, and robotics. Recent work emphasizes machine learning integration into animation synthesis. Notable projects include MotionNet (3D motion reconstruction), neural state machines for character interactions, and fracture simulation with material points. Publications: Over 100 peer-reviewed papers spanning SIGGRAPH, Eurographics, and IEEE journals. Recent work emphasizes deep learning applications in animation, medical imaging analysis, and physics-based simulations. Key trends include neural networks for motion synthesis, transformer-based models for 3D gestures, and topology-aware shape reconstruction. Awards: Royal Society Industry Fellowship (2014), Google AR/VR Research Award (2017). Recognized for contributions to physically-based animation and medical imaging AI. Labs & Collaborations: Leads research groups in computer graphics and AI at HKU. Collaborates with institutions on robotics, VR/AR, and medical imaging projects. Active in organizing SIGGRAPH and Eurographics conferences.

• Computer Graphics
• Physical Simulation
• Character Animation
• +6 more

Dr. Hengshuang Zhao is an Assistant Professor at the Department of Computer Science, University of Hong Kong. He holds a PhD from The Chinese University of Hong Kong and completed postdoctoral research at MIT CSAIL and the University of Oxford. His research focuses on computer vision, machine learning, and AI, emphasizing visual scene understanding, generative modeling, autonomous driving, and embodied AI. He leads a lab actively recruiting PhD students and researchers. Education: PhD in Computer Science, Chinese University of Hong Kong (2017) Bachelor's Degree, Huazhong University of Science and Technology Affiliations: Member of Hong Kong Robotics Institute Organizer of CVPR/ICML workshops on point clouds and embodied AI His research interests include: Scene Understanding (e.g., semantic segmentation, 3D reconstruction), Multimodal Learning (vision-language models), and Generative Modeling (image/video synthesis). Recent work includes Depth Anything (CVPR 2024 Best Demo), Point Transformer V3 (CVPR 2024), and DriveGPT4 series for autonomous driving. He has been recognized with awards including the Excellent Young Scientists Fund (2024), AI 2000 Influential Scholar in CV (2022-2024), and organized multiple top-tier conferences' workshops and tutorials.

• Computer Vision
• Scene Understanding
• Multimodal Learning
• +3 more

Dr. Yi-King Choi is a Senior Lecturer and Master Programme Associate Director at the School of Computing and Data Science (CDS), University of Hong Kong. She holds BSc, MPhil, and PhD degrees in Computer Science from HKU. Her research focuses on geometric computing, computer graphics, and medical visualization with notable contributions to collision detection algorithms for ellipsoids and quadric models. She leads the WATERMAN project developing water quality management systems and has received awards including the Li Ka Shing Prize for Best PhD Thesis (2009). Education BSc (First Class Honors), University of Hong Kong (1996) MPhil, University of Hong Kong (2000) PhD, University of Hong Kong (2008) Research Interests Geometric computing with emphasis on quadric surfaces and collision detection Medical visualization applications Computer graphics algorithms for real-time systems Awards Best Tutor Award (2005) Li Ka Shing Prize for Best PhD Thesis (2009) Her publications emphasize computational geometry solutions for complex geometric problems, with recent work advancing collision detection methodologies in robotics and computer-aided design contexts. Collaborative projects include the HKU Computer Graphics Group's work on quadric surface intersections and parametric modeling.

• Medical visualization
• Geometric computing
• Computer graphics
• +3 more

Dominicus Leung is a Teaching Professor and Subject Leader of the Master of Design Programme at the School of Design , The Hong Kong Polytechnic University . With extensive industry experience as a creative director, consultant, and managing director, he bridges academic research with corporate collaborations in Asia. His expertise spans creative thinking, interaction design, digital marketing, branding, sports marketing, and wellbeing. MDes (Interaction Design), The Hong Kong Polytechnic University BA (Hons) in Graphic Design, The Hong Kong Polytechnic University His research integrates design innovation with wellbeing, sports, and healthcare, emphasizing user experience (UX) and health informatics. Projects include collaborations with The Bank of East Asia, TCL, Chinachem Group, and The Hong Kong Federation of Youth Groups. Scientific recognition includes multiple awards in 2012: GOLD in Social Networking Sub-category, Mercury Excellence Awards SILVER and BRONZE in Website Sub-category, Mercury Excellence Awards and Astrid Awards Best 30 Case Studies in The Hong Kong Digital Marketing Creative Platform

• Creative Thinking
• Interaction Design
• Digital Marketing
• +7 more

Prof. Miu Ling LAM is an Associate Professor at the School of Creative Media , City University of Hong Kong . Her research spans robotics , computational imaging , light field technologies , media arts , and machine learning , often integrating art-science collaboration. Current Research Focus : Computational photography, disentangled geometry in neural image generation, and near-infrared imaging technologies. Grants : Funded by General Research Fund (GRF), Innovation and Technology Commission (ITF), National Natural Science Foundation of China (NSFC), Croucher Foundation, and Hong Kong Jockey Club Charities Trust. Leadership : Programme Leader of the Bachelor of Arts and Science in New Media , Co-chair of SIGGRAPH Asia 2023 Emerging Technologies, and Art Advisor (Media Arts) at the Hong Kong Arts Development Council. Publication Trends emphasize generative AI for 3D animation and human-centric video synthesis , with subfields like light field synthesis , augmented reality , and cultural heritage digitization . Scientific Awards : CVPR 2022 Best Paper Finalist, SCM Distinguished Teaching Award, National-level Science and Technology Project Prize (2016), Best Conference Paper at Optofluidics (2016), Croucher Fellowship, World Cultural Council Special Recognition Award, and multiple IEEE conference best paper awards. PhD Students Advised include researchers in 3D morphable models , neural representations , and wearable sensors . She also leads projects like Jockey Club Project IDEA and TEDY for inclusive digital arts and elderly care technologies.

• Robotics
• Interactive Media
• Bioinformatics
• +10 more