جست‌وجوی استاد و پژوهشگر

Sunny Choiمشاهده پروفایل

استادیار

• Urban Design
• Environmental Design
• Ecosystem
• +۷ مورد دیگر

Sunny Choi is an Assistant Professor at the School of Design , The Hong Kong Polytechnic University , specializing in urban design, environmental design, and hyper-morphology. She is a founding partner of Choi-Comer Asia Ltd. , a research-practice lab focusing on interior urban environments, and serves as Chairperson for Media and Publications at the Hong Kong Institute of Urban Design and Chief Editor of its online journal Urbanie & Urbanus . BA in Urban Studies, RMIT University MA in Housing and Urbanism, Architectural Association School of Architecture MPhil in Town Planning, University College London PhD in Urban Design, Oxford Brookes University Post-doctoral Research in Urban Ecology, University of Oxford Professional Practice in Urban Economics, Harvard University Her research examines human-centered urbanism , with a focus on spatial cognition , vertical urban complexes , and metaverse applications in sustainability education . She investigates how digital technologies transform urban experiences and how hyper-morphological frameworks can address ecological challenges. Recent publications highlight her work on emotional assessment metrics for urban spaces , metaverse-driven learning , and waterfront regeneration strategies . Her research bridges design practice with academic inquiry, emphasizing hybrid walkable networks and transitional environments. Best Paper Award (2022) Best Research Award Nomination (2025) Prize for Educational Metaverse Development (2023) Honorary Award in Urban Design (2023) Recognition for Hybrid Urban Networks Study (2023) As an advisor and educator, she contributes to UN Sustainable Development Goals through urban design pedagogy. Her collaborative projects span institutions in Hong Kong, China, and the UK. She also leads Choi-Comer Asia Ltd. , integrating design, research, and policy advocacy.

Yi-Teng Shihمشاهده پروفایل

استادیار

• Design Cognition
• Design Media
• Design Education
• +۵ مورد دیگر

Yi-Teng Shih is an Assistant Professor at the School of Design, The Hong Kong Polytechnic University, with expertise in design cognition, design media, and design education. He holds a PhD in Architecture from the University of Newcastle, Australia, and a PGCHE in Higher Education from the University of Nottingham, UK. Education: PhD (University of Newcastle, Australia), PGCHE (University of Nottingham, UK) His research explores the intersection of design cognition, computer-aided design, and user experience, with a focus on enhancing learning outcomes through collaborative design competitions and mental imagery analysis. His work has been published in journals like Design Studies and The Design Journal . Recent publications highlight trends in: Neuroscience-informed design teamwork (2025) Educational frameworks for ADHD children (2024) Conceptual metaphor in product language (2024) Digital and analog media in design education (2021–2017) Scientific Awards: THE EDTECH AWARDS 2025 – Finalist Animal Dough Hair Playset (IDEA, 2021) Baby Friendly Bathroom Fitting Series Design (European Product Design Award Gold, 2018) Best Conference Paper Award (2025) Business Casual Headset (IDA Design Awards Gold, 2018) He has supervised numerous award-winning design projects and collaborated with companies such as Brookstone, RadioShack, and FORA, securing twelve patents. His activities include organizing the PolyU Toy Invention Program (2023–2024) and delivering invited talks on design education.

Ip Yuk-Yiuمشاهده پروفایل

دانشیار

• Experimental Cinema
• New Media Art
• Digital Art
• +۵ مورد دیگر

Prof. Yuk Yiu IP is an Associate Professor at the School of Creative Media, City University of Hong Kong. As an experimental filmmaker, media artist, art educator, and independent curator, his work spans emergent cinema, new media art, and game design, exhibited internationally at festivals like Transmediale, ISEA, and VideoBrasil. He founded the art.ware project to promote new media art in Hong Kong. Research Interests: Experimental Cinema New Media Art Digital Art Media Archaeology Video Art Visual Ethnography Computer Game Design Artistic Trends: His recent works explore hybrid cinema, interactive installations, and game-based art, merging digital and physical spaces. Twelve of his 15 most recent publications focus on these intersections, with keywords like "ludonarrative design," "algorithmic aesthetics," and "post-cinema." Scientific Recognition: Hong Kong Arts Development Awards (2018) PACT Zollverein Residency (2025) ACC Cinema Fund Recipient (2018) Hong Kong Contemporary Art Awards (2012) Collaborations: He works with digital artists like Jeffrey Shaw and Olli Tapio Leino, focusing on virtual environments and critical interactivity. His projects include "Critical Games" and "Value-rich Peer Community Assessment."

WANG Donggenمشاهده پروفایل

استاد

• Activity-travel behavior
• Transport and time geography
• Activity-based socio-spatial segregation
• +۲ مورد دیگر

WANG Donggen is a Chair Professor in the Department of Geography at Hong Kong Baptist University (HKBU) and serves as Director of the Centre for China Urban and Regional Studies. His academic leadership spans editorial roles in major transportation journals and active participation in professional societies across Asia. Education: Ph.D. in Architecture, Eindhoven University of Technology, Netherlands M.A. in Development Studies, Erasmus University, Netherlands M.Sc. in Urban Design, Wuhan University, China B.Sc. in Geodesy and Geomatics, Wuhan University, China Research Focus: Professor Wang's work centers on activity-travel behavior and transport time geography , examining how built environments shape mobility patterns, socio-spatial segregation, and wellbeing. His research integrates machine learning for causal inference in travel behavior, with strong emphasis on Chinese urban contexts like Shenzhen and Beijing. Key themes include rail transit impacts, travel satisfaction determinants, and housing-residential satisfaction linkages. Publication Trends: Recent work (2022-2024) reveals growing interdisciplinary integration—combining transportation science with mental health studies, food accessibility research, and gendered mobility analysis. His methodological innovations in difference-in-differences frameworks and instrumental variable approaches address complex behavioral questions in urban settings. Scientific Recognition: Fellow, Hong Kong Society for Transportation Studies (2013–present) Grants & Service: Secured 5+ major grants from Hong Kong RGC (2022-2029) and NSFC, including AI-enabled geospatial platforms for disability mobility and rail transit behavior studies. As Co-Editor-in-Chief of Travel Behavior and Society and editorial board member for 5 top journals, he shapes global discourse in transportation geography. Previously chaired the Hong Kong Geographical Association (2009-2013). Research Infrastructure: Leads the Centre for China Urban and Regional Studies, driving collaborative research on urbanization, transportation systems, and regional development across Chinese cities through interdisciplinary teams.

Ravishankar Ramanathanمشاهده پروفایل

استادیار

• Quantum Cryptography
• Quantum Information Theory
• Device-Independent Quantum Information Processing
• +۳ مورد دیگر

Ravishankar Ramanathan is an Assistant Professor at the University of Hong Kong's School of Computing and Data Science, Department of Computer Science. His research spans Quantum Cryptography, Quantum Information Theory, and Human-Robot Interaction. He holds a PhD from the National University of Singapore (2013), with prior postdoctoral roles at The National Quantum Information Centre (Poland), Université Libre de Bruxelles, and the University of Oxford. His work includes foundational studies in quantum mechanics and advanced robotics applications, with over 30 refereed publications in top journals like Nature Communications and Physical Review Letters. Research interests focus on quantum device-independent protocols, randomness amplification, and human-centric robotics systems. His lab (QIFT Group: https://qift.weebly.com/) explores both theoretical quantum mechanics and practical robotics solutions for mobility assistance and social interaction. Recent publications highlight contributions to quantum cryptography (e.g., noise-tolerant protocols) and autonomous systems (e.g., robotic wheelchair navigation and social robot design). He collaborates internationally, bridging quantum theory with real-world robotics applications.

Edith Cheuk Han NGAIمشاهده پروفایل

دانشیار

• Internet-of-Things
• Edge Intelligence
• Data Analytics
• +۵ مورد دیگر

Dr. Edith Cheuk Han Ngai is an Associate Professor in the Department of Electrical and Electronic Engineering at the University of Hong Kong (HKU), where she has been since 2020. Previously, she held an Associate Professor position at Uppsala University, Sweden. Her research focuses on Internet-of-Things (IoT), edge intelligence, data analytics, machine learning, network security, smart cities, and health informatics. She is an ACM Senior Member, IEEE Senior Member, and IEEE ComSoc Distinguished Lecturer (2023-2024). Her research contributions include the Green IoT project in Sweden (2014–2017), recognized in IVA’s 100-list (2020). She has led interdisciplinary projects like the Smart Water Auditing initiative, combining IoT and machine learning to address water conservation. Ngai has received awards such as the VINNMER Fellowship (2009) and a Meta Policy Research Award (2022). Her work on energy-aware edge computing and federated learning has been widely cited, ranking her in the top 1% globally by Clarivate Analytics (2021–2023). Ngai serves as an Associate Editor for multiple prestigious journals, including IEEE Transactions on Mobile Computing and IEEE Transactions on Industrial Informatics. She has organized conferences like IEEE GreenCom 2022 and IEEE IWQoS 2024. Her lab, the HKU IoT Lab, explores AI-driven smart systems, edge general intelligence, and healthcare applications. Recent work includes Radio2Text (mmWave-based speech recognition) and HealthPrism (multimodal health analytics). Ngai advises a dynamic research group with postdocs and PhD students focused on federated learning, edge computing, and wearable health sensing. Notable students include Zhihan Jiang (HKU Foundation PhD Award 2024) and Sukanya Jewsakul (BuildSys 2024 Best Paper Candidate). She collaborates with institutions like the HKU Center for Water Technology and Policy on projects like smart water auditing and health informatics.

Taku Komuraمشاهده پروفایل

استاد

• Computer Graphics
• Physical Simulation
• Character Animation
• +۶ 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.

PerMagnus Lindborgمشاهده پروفایل

دانشیار

• Sound Art
• Composition
• Sonification
• +۱۲ مورد دیگر

PerMagnus Lindborg is a composer, sound artist, and researcher in sound perception with over 150 scholarly publications, compositions, and media artworks. Currently serving as Associate Professor at City University of Hong Kong's School of Creative Media, he teaches sound, music, research skills, and perception while coordinating research degrees. PhD: KTH Stockholm (2015) DEA: Paris (2003) IRCAM: Paris (1999) BMus: Oslo His research focuses on sound perception , sonification , spatial audio , multi-sensory environments , and data-driven art . He pioneered low-cost spatial audio solutions through the Open Ambisonics Toolkit and explores sensory heritage documentation via soundscapes and smellscape analysis in Hong Kong. Recent publications demonstrate trends in climate data sonification , neural audio processing , and immersive sound design . His work intersects computer music , psychoacoustics , and environmental art . Scientific Awards : Best New Director (World Film Carnival, Cannes Short Film Festival, ISA Awards - 2020) First Prize (Stavanger Symphony Orchestra Prize - 2002) Fellowships: The Arctic Circle (2023), SCM Team Research (2020-25), TBA The Current (2016) As principal investigator for Multi-Modal Hong Kong (GRF 2023-25) and Data Art for Climate Action (2020-23), he supervises PhD students in areas like multi-sensory cultural heritage , deep learning audio processing , and virtual reality sound design . He co-founded the SoundLab and DACA Conference .

Zhenqin Wuمشاهده پروفایل

استادیار

• AI/ML for Computational Biology
• Spatial Omics
• Multi-modal Spatial Biology
• +۳ مورد دیگر

Zhenqin Wu is an Assistant Professor at the Department of Computer Science, University of Hong Kong. He holds a PhD from Stanford University (2016–2022) under advisors Prof. James Zou and Dr. Vijay Pande, with research focused on applying AI/ML to computational biology and spatial omics. His work bridges machine learning and spatial biology, developing tools for analyzing spatial proteomics, transcriptomics, and histopathological imaging. Education: PhD in Computer Science, Stanford University (2016–2022) BSc in Chemistry, Peking University Research Interests: AI-driven spatial omics analysis Multimodal data integration in biology Machine learning for medical imaging Computational modeling of cellular microenvironments His recent work highlights include developing the ROSIE AI framework for immunofluorescence generation and the CORAL method for spatial multiomics integration. Articles focus on immunotherapy response prediction, disease biomarker discovery, and interpretable models for tissue structure analysis. Professional Affiliations: Scientific Advisor, Enable Medicine (biotechnology startup) AI Fellow, Genesis Therapeutics He actively mentors PhD/postdoc researchers and collaborates on AI-driven drug discovery projects. His lab focuses on translating spatial omics insights into clinical applications.

Heming Cuiمشاهده پروفایل

دانشیار

• Distributed Systems
• Operating Systems
• Cloud Computing
• +۷ مورد دیگر

Dr. Heming Cui is an Associate Professor at the Department of Computer Science, University of Hong Kong, affiliated with the School of Computing and Data Science. He joined HKU in 2015 after completing his PhD at Columbia University, following bachelor's and master's degrees from Tsinghua University. His research focuses on distributed systems, operating systems, and high-performance computing, with a strong emphasis on reliability and security. Dr. Cui leads projects in distributed AI training systems, blockchain frameworks, and secure execution environments, collaborating closely with industries like Huawei. He has received notable awards including the Croucher Innovation Award (2016), HK$5 million RGC Research Impact Fund (2023), and best paper awards at ICSE and ACSAC. His work has led to commercialized systems such as Huawei's MindSpore integration of Fold3D and TICS' UTEE component derived from his secure systems research. Dr. Cui actively recruits PhD students specializing in systems security and database systems, prioritizing candidates with strong systems-building backgrounds. Key grants include leadership in projects totaling HK$30 million, including flagship collaborations with Huawei and RGC grants targeting transaction/analytical processing in edge computing and cloud security. His research spans over 50 publications in top venues like SOSP, NSDI, and IEEE journals, emphasizing reproducibility and industrial impact.

Miu Ling Lamمشاهده پروفایل

دانشیار

• Robotics
• Interactive Media
• Bioinformatics
• +۱۰ مورد دیگر

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.

Paolo Mengoniمشاهده پروفایل

مدرس

• Artificial Intelligence
• Complex Network Analysis
• Natural Language Processing
• +۳ مورد دیگر

Dr. Paolo Mengoni is a Lecturer I at Hong Kong Baptist University (HKBU), specializing in Artificial Intelligence and Complex Network Analysis. Originally from Italy, he brings over 20 years of experience as an IT consultant and researcher. His work focuses on AI applications in education, natural language processing, emotion recognition, and autonomous agents. He holds a Ph.D. in Computer Science from the University of Florence and MSc/BSc degrees from the University of Perugia (Italy). Teaching responsibilities include courses like AI and Digital Communication , Basic Programming for Data Science , and Recommender Systems for Digital Media . His research explores topics such as learning analytics, sentiment analysis in social networks, and community detection in collaborative environments. He actively contributes to academic activities, including organizing international workshops like the 2020 Global Virtual Hack and Design Challenge and the HKBU-University of Perugia exchange program. His publications span journals and conferences including IEEE/WIC/ACM Web Intelligence, Future Generation Computer Systems, and IEEE International Symposia. He serves as a reviewer for venues such as IEEE Congress on Evolutionary Computation and the International Conference on Computational Science and Its Applications.

Bo ZHENGمشاهده پروفایل

دانشیار

• Chinese Contemporary Art
• Socially Engaged Art
• Ecological Art
• +۳ مورد دیگر

Bo ZHENG is an Associate Professor at the School of Creative Media, City University of Hong Kong, where he teaches and conducts research in socially and ecologically engaged art. With a PhD in Visual and Cultural Studies from the University of Rochester, he is an artist, writer, and educator committed to community-based art practices that bridge ecological awareness and social justice. His educational background includes: PhD in Visual and Cultural Studies, University of Rochester Affiliated member, Institute of Contemporary Art and Social Thoughts, China Academy of Art Professor ZHENG specializes in Chinese contemporary art with a focus on ecological and socially engaged practices. His research explores the intersections of art, ecology, and community engagement, particularly in East Asian contexts. He has developed innovative approaches to art education through MOOCs and online platforms, making contemporary art accessible to broader audiences. His work often involves collaboration with diverse communities including Filipino domestic helpers in Hong Kong and environmental activists, creating participatory installations that address issues of migration, ecology, and social inclusion. His artistic practice includes notable works such as 'Family History Textbook' (Prize of Excellence, 2005 Hong Kong Art Biennial), 'Karibu Islands' (Juror's Prize, Singapore Art Museum 2008), 'Sing for Her' (a participatory installation with Filipino domestic helpers), and 'Plants Living in Shanghai' (a found botanical garden and online course). His recent projects focus on climate action, ecological art practices, and political ecology in post-socialist contexts. Professor ZHENG has received significant recognition for his work: Prize of Excellence, 2005 Hong Kong Art Biennial Juror's Prize, Singapore Art Museum, 2008 Early Career Award, Hong Kong Research Grants Council, 2014 Professional Development Award, City University of Hong Kong, 2015 The 35th World Cultural Council Special Recognition Award, 2018 He has secured multiple research grants including four major projects: 'Ecological Art Practices in Hong Kong (1997-2017),' 'Contemporary Art and Political Ecology in Post-Socialist China,' 'Socially Engaged Art in Post-89 China,' and 'An Online Curating Platform for Learning Contemporary Art.' He currently supervises nine doctoral students working on Chinese contemporary art and related fields, with research topics spanning multi-sensory installations, virtual reality, documentary practices, and more-than-human relations. His academic service includes editorial work for the Journal of Chinese Contemporary Art and organization of international conferences on art and ecology. Professor ZHENG is actively involved in building an online database and MOOC on Chinese socially engaged art, and serves on the editorial board of the Journal of Chinese Contemporary Art. His work contributes to UN Sustainable Development Goals related to environmental sustainability, quality education, and reduced inequalities, demonstrating how artistic practice can address pressing ecological and social challenges.

Yang Liuمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Pattern Recognition
• +۸ مورد دیگر

Dr. Yang Liu is an Assistant Professor in the Department of Computer Science at Hong Kong Baptist University's Faculty of Science. He also serves as the Associate Director of the Health Informatics Center. His academic career spans prestigious institutions including Yale University and Carnegie Mellon University, demonstrating his expertise in both theoretical and applied aspects of computer science. Dr. Liu received his B.Eng. and M.Eng. degrees in Automation from National University of Defense Technology in 2004 and 2007, respectively. He earned his Ph.D. in Computing from The Hong Kong Polytechnic University in 2011. His academic journey included a Visiting Scholar position at Carnegie Mellon University's Robotics Institute (Feb.-Aug. 2010) and a Postdoctoral Research Associate position in the Department of Statistics at Yale University (2011-2012). Dr. Liu's research spans the intersection of artificial intelligence, machine learning, and practical applications in health and complex systems. His work focuses on artificial intelligence , machine learning , pattern recognition , dimensionality reduction , and subspace learning , with particular emphasis on multi-way/multi-view/multi-label/multi-task learning approaches. His research extends to modeling complex dynamical systems with applications in computational epidemiology and infectious disease modeling , addressing critical public health challenges through data-driven approaches. Analysis of Dr. Liu's recent publications reveals a strong focus on applying machine learning techniques to epidemiological challenges, particularly in modeling infectious disease transmission patterns. His work bridges theoretical advances in graph neural networks, subspace learning, and multi-view analysis with practical applications in public health. A significant portion of his research addresses the challenges of high-dimensional and heterogeneous data analytics, with applications ranging from malaria transmission modeling in Cambodia to uncovering COVID-19 transmission patterns in Hong Kong. Dr. Liu is an IEEE Senior Member and ACM Member, reflecting recognition of his contributions to the field. His paper "What are the underlying transmission patterns of COVID-19 outbreak? – An age-specific social contact characterization" was recognized as one of the most cited articles in EClinicalMedicine, Lancet Discovery Science, during 2020-2021, highlighting the impact of his work on pandemic response research. Dr. Liu actively mentors research students and regularly has research student and RA positions available. His professional service includes serving on editorial boards for SPJ Health Data Science and as a journal guest editor for special issues on cross-media analysis. He has extensive experience as a journal reviewer for top publications including IEEE TNNLS/TNN, IEEE T-Cyber/TSMC-B, IEEE TAC, IEEE TKDE, IEEE TMM, IEEE TCSVT, ACM TIST, ACM TOMM, and others, and serves on program committees for major conferences including WWW, IJCAI, and AAAI. Dr. Liu is affiliated with the Centre for Health Informatics and the Artificial Intelligence and Machine Learning Laboratory (AIML) at Hong Kong Baptist University. These research centers provide the infrastructure and collaborative environment necessary for his work in health informatics and machine learning applications. His role as Associate Director of the Health Informatics Center positions him at the forefront of interdisciplinary research connecting computing with public health challenges.

David Bishopمشاهده پروفایل

دانشیار

• Business Ethics
• Refugee and Migrant Labor Law
• Social Enterprise
• +۲ مورد دیگر

David Bishop is Associate Professor of Teaching at the University of Hong Kong's Faculty of Business Economics and serves as Associate Director of the HKU Jockey Club Enterprise Sustainability Global Research Institute. He also teaches in the International MBA Program at Fudan University. With extensive legal experience across Asia and the US, he specializes in cross-border transactions and corporate ethics. Education Juris Doctor, Georgetown University Law Center B.A. History and Mandarin Chinese (magna cum laude), Brigham Young University Research Focus Bishop's research examines ethical frameworks in business operations, migrant labor rights, and social entrepreneurship. His work bridges legal theory with practical solutions for societal challenges, emphasizing corporate governance in complex international contexts and developing sustainable business models for marginalized communities. His publications demonstrate consistent focus on educational innovation, labor justice reforms, and equity issues. Recent works analyze experiential learning efficacy, systemic barriers in labor markets, and policy-driven solutions for social inequality, reflecting interdisciplinary approaches across law, education, and business ethics. Awards and Recognition Outstanding Teacher Award (2011-2012) for postgraduate teaching excellence Leadership and Service As BBA(Law) & LLB Programme Coordinator, Bishop oversees curriculum development and student advising. He founded the Impact Lab experiential learning initiative, engaging 1,200 students in 136,000+ service hours across 50+ social organizations. Directs multiple non-profits focused on migrant worker rights and ethical business practices, integrating academic work with community transformation.