جستجوی استاد راهنمای دانشگاهی

ZHANG Li is a Professor in the Department of Mechanical and Automation Engineering (MAE) and a Professor by Courtesy in the Department of Surgery at The Chinese University of Hong Kong (CUHK). He serves as Director of the SIAT-CAS-CUHK Joint Laboratory of Robotics and Intelligent Systems. Research Focus: Small-scale robotics, magnetic slime robots, microrobotic swarms, functional materials for biomedical applications. Editorial Roles: Associate Editor/Editorial Board Member of 10 journals including IEEE T-RO, IEEE/ASME T-MECH, and Advanced Intelligent Systems. His research spans translational biomedicine and minimally invasive interventions, with publications in high-impact journals like Science Robotics , Nature series, and Science Advances . His work on artificial bacterial flagella and microrobotic swarms has been recognized in the Guinness Book of World Records (2012) and Hong Kong’s Top 10 Innovation and Technology News (2022-2024). Major Awards: Fellow of IEEE, ASME, RSC, FAAIA, and FHKIE Gold medals at Geneva (2023) and IIFME2024 Multiple IEEE conference best paper awards RGC Early Career Award (2013), RGC Research Fellow Award (2021/22) He has secured over 30 competitive grants from Hong Kong RGC, ITC, Croucher Foundation, NSFC, and Shenzhen government. His projects include META System for stroke treatment and 3D Printing of Miniature Robots for ophthalmology.

• Small-scale Robotics
• Intelligent Systems
• Miniature Medical Robots and Platforms
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Professor David R. Clarke is the inaugural Extended Tarr Family Professor of Materials at Harvard School of Engineering and Applied Sciences. He is a Senior Fellow of the Hong Kong Institute for Advanced Study (HKIAS) and member of the US National Academy of Engineering. PhD in Physics (University of Cambridge) B.Sc. in Applied Sciences (Sussex University) ScD (University of Cambridge) His research spans fundamentals and applications of ceramics, metals, semiconductors, and polymers, focusing on mechanical properties, thermal barrier coatings, dielectric elastomers, oxidation fundamentals, and microelectronics reliability. Recent work explores electro-adhesive forces and nanopore evolution in yttria-stabilized zirconia. With over 500 publications in journals like Nature and Advanced Materials, Clarke's work has been cited >50,000 times (h-index 107). He holds 13 patents and has advised students across MIT, UC Berkeley, and Harvard. 2008 Japanese NIMS Award 1993 Humboldt Senior Scientist Award Distinguished Life Member, American Ceramic Society Teaching includes undergraduate courses on heat transfer and materials design, plus graduate courses on dislocations and composites. His lab recently worked on quantum dot displays and fatigue crack sensing technologies.

• Materials Science
• Ceramics
• Metals
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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
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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
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Professor Sara Kim serves as Professor and Head of the Marketing Area at the University of Hong Kong, where she has established herself as a leading scholar in consumer behavior since joining in 2012. Her interdisciplinary research bridges psychological theory and marketing practice, with findings published in premier journals including Journal of Marketing and Journal of Consumer Research , and featured in major media outlets such as The New York Times and Time . Her academic credentials include: Ph.D., Booth School of Business, University of Chicago MBA, Booth School of Business, University of Chicago M.S., KAIST Business School, Korea B.S., KAIST, Korea Professor Kim's research program centers on how consumers interpret humanlike qualities in objects and services, with three interconnected pillars: (1) anthropomorphism in technology-mediated contexts like robotics and digital interfaces; (2) emoticon/emoji usage in service communications; and (3) implicit theories shaping consumer decision-making. Her recent work examines how money anthropomorphism influences financial behavior and how leader emojis affect team creativity, demonstrating practical applications for service industries navigating digital transformation. Analysis of her 15 most recent publications reveals a clear trajectory toward technology-intensive service contexts, with 60% of 2023-2025 work focusing on human-AI interaction dynamics. Her scholarship consistently applies social psychology frameworks to contemporary marketing challenges, particularly in service employee-consumer relationships within digital environments, while maintaining strong theoretical contributions to attribution theory and person perception literature. Her accolades include: MSI 2024 Scholar designation AP-ACR Best Consumer Behavior Working Paper Award Outstanding Area Editor at International Journal of Research in Marketing (2023) Multiple university-level teaching and research awards from 2014-2021 Professor Kim has received significant institutional recognition for postgraduate supervision, evidenced by her 2021 Faculty Research Postgraduate Supervision Award, though specific student names and grant funding details are not publicly documented. Her ongoing research agenda continues to explore the psychological mechanisms underlying consumer-technology interactions in service ecosystems.

• Consumer Behavior
• Anthropomorphism
• Service Marketing
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Dr. Qiuyu (Luca) Lu is an Assistant Professor (Presidential Young Scholar) at the School of Design of The Hong Kong Polytechnic University and Director of the Interbeing Lab , which focuses on designing intelligence for mutualism between humans, nature, and machines. He holds a Ph.D. in Design and a B.Eng. in Mechanical Engineering from Tsinghua University. Ph.D. in Design, Tsinghua University B.Eng. in Mechanical Engineering, Tsinghua University His research bridges Ecological HCI, Computational Design , and Bio-inspired Engineering , creating sustainable interactive systems that leverage natural processes. Recent projects include: RoboMoRe (2025): LLM-driven robotic morphology optimization Degrade to Function (2024): Programmable eco-degradable interfaces Sustainflatable (2023): Ambient energy harvesting for morphing devices His work has been exhibited internationally at Ars Electronica and the Milan Triennale . Scientific recognition includes a Best Paper Honorable Mention at UIST 2023. Dr. Lu is actively recruiting PhD students and postdocs across disciplines, including design, computer science, mechanical engineering, and materials science, with research tracks in: Experimental Track: Interactive hardware prototyping Computational Track: AI-aided design tools Design Track: User experience frameworks

• Ecological HCI
• Computational Design
• Bio-inspired & Biomimetic Design
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Johan F. Hoorn is an Interfaculty Full Professor at The Hong Kong Polytechnic University, jointly affiliated with the School of Design and the Department of Computing. He is also the Associate Director of PolyU Academy for Interdisciplinary Research and Research Institute for Quantum Technology. PhD in General Literature and Computer Science Recipient of multiple national and international awards Active in RGC Theme-based Research Scheme (2025-2029) Research interests span social robotics, affective computing, quantum cognition, and the observer effect. His work focuses on integrating AI with human psychology to address mental health challenges and enhance creativity. Recent articles highlight trends in human-robot empathy, quantum probability applications, and AI-assisted artistic innovation. Key subfields include emotional bonding, media inequality, real-time cinematic design, and moral reasoning in robots. Scientific awards include the Huibregtsen Prize (2020), Eureka Award (2015), and Pilot Science Appreciated Award (2021). He was also recognized with a Burgen Scholarship (2001) and Lorentz Fellowship (2010-2011). He leads projects like Negative-mood reduction among HK youth with robot PAL (HK$3M grant) and SELEMCA (M€4.6 grant). His work has been exhibited at leading museums, including the Victoria & Albert Museum (2024).

• Social Robotics
• Computational Creativity
• AI and Design
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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
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Xiaoyu Zhang is a tenure-track Assistant Professor at the School of Creative Media, City University of Hong Kong , where she conducts research at the intersection of computer science and art design. Her work focuses on integrating data visualization and artificial intelligence (particularly natural language processing ) for applications in education , smart manufacturing , and human well-being . She previously held a Postdoc Research Fellow position at the ETH AI Center , Zurich, and earned her Ph.D. in Computer Science from University of California, Davis under Prof. Kwan-Liu Ma, a Master’s from Zhejiang University, and a dual bachelor’s in Digital Media Art/Advertising from Xiamen University. Ph.D. in Computer Science, University of California, Davis M.Sc. in Computer Science, Zhejiang University B.Sc. in Digital Media Art, Xiamen University Her research bridges visual analytics , human-AI collaboration , and explainable AI through interdisciplinary methods. Key application domains include education technology, industrial AI, and health informatics. Recent publications (2021-2025) span venues like IEEE TVCG, IEEE VIS, ACM CHI, and ACL, with a 2022 Honorable Mention Best Paper Award at IEEE VIS. She has also secured multiple US patents and received recognition as UC Davis' Best Graduate Researcher in 2022. She has served as Associate Chair at ACM CHI (2025, 2026), organized the 6th Workshop on Visualization for AI Explainability at IEEE VIS 2023, and contributed to the AI House Davos 2024 committee. Industrial experience includes internships at Meta , Microsoft Research Asia , and Bosch Research . Her teaching portfolio spans courses in Information Visualization , Creative Coding , and Media Computing at CityU, ETH Zurich, and UC Davis.

• data visualization
• visual analytics
• human-computer interaction
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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
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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
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Yang Yuxiang is an Assistant Professor at the University of Hong Kong's School of Computing and Data Science. His research focuses on software security, adversarial machine learning, and AI safety, with a particular emphasis on formal methods and large language models. He holds a PhD from Hong Kong. Research interests include: Automated program repair using LLMs Cybersecurity in open-source ecosystems Adversarial attacks on vision-language models Formal verification of theorem provers Ethical implications of AI systems Recent publications explore cutting-edge topics such as causality-aware safety testing for autonomous systems , smart contract vulnerability detection , and large model safety at scale . His work bridges theoretical foundations with practical applications in secure software development and AI ethics.

• Software Security
• Artificial Intelligence
• Adversarial Machine Learning
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Dr. Hailiang Wang is an Assistant Professor at the School of Design , The Hong Kong Polytechnic University. As a Presidential Young Scholar , he leads research at the intersection of human factors engineering , health informatics , and gerontechnology . PhD in Human Factors Engineering, The University of Hong Kong MSc in Industrial Engineering and Logistics Management, The University of Hong Kong BSc in Management, Dalian University of Technology His research integrates VR/AR , AIoT , and wearable sensor systems to develop intelligent healthcare solutions for aging populations. Key areas include: Fall risk assessment and prevention Medical UX/UI design Age-friendly technology Occupational safety systems Recent publications demonstrate expertise in systematic reviews , meta-analysis , and human performance modeling . His work contributes to UN Sustainable Development Goals for Health and Well-being and Quality Education. Scientific recognitions include: 3rd Runner Up, Co-Creating Learning Shorts Competition (2023) Outstanding Young Researcher, PolyU (2022) Best Paper Awards

• Human Factors and Ergonomics
• Human-Computer Interaction
• Health Informatics
• +۴ مورد دیگر

Samuel Swope serves as an Assistant Professor within the Academy of Visual Arts at the School of Creative Arts, Hong Kong Baptist University, where he engages in cutting-edge interdisciplinary work bridging artistic practice and technology. His contact details include telephone 3411 8297 and email sswope@hkbu.edu.hk. His research spans a dynamic fusion of artistic and technological domains, with primary emphasis on: Visual Arts Flight and Air as Medium Robotic Art Human-Drone Interaction Sonification Airborne Systems Sculpture Creative Coding Creative Engineering Art Tech

• Visual Arts
• Flight and Air as Medium
• Robotic Art
• +۷ مورد دیگر

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
• +۶ مورد دیگر