Find Academic Supervisors

Ip Yuk-YiuView profile

Associate Professor

• Experimental Cinema
• New Media Art
• Digital Art
• +5 more

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."

Ravishankar RamanathanView profile

Assistant Professor

• Quantum Cryptography
• Quantum Information Theory
• Device-Independent Quantum Information Processing
• +3 more

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.

Edmund Yin Mun LAMView profile

Professor

• Computational Optical Imaging
• Digital Holography
• Neuromorphic Imaging
• +3 more

Edmund Yin Mun LAM is a Professor of Electrical and Electronic Engineering at the University of Hong Kong (HKU), with a courtesy appointment in Computer Science. He also serves as Associate Dean (Innovation and Career Development) of HKU's Graduate School. His academic journey includes a B.S., M.S., and Ph.D. from Stanford University. Key roles include Director of the Computer Engineering program and founding Director of the Imaging Systems Laboratory. He has held a Visiting Associate Professorship at MIT. His research focuses on computational optics and imaging, spanning algorithm design to applications in semiconductor manufacturing and biomedicine. Notable contributions include pioneering AI-driven computational imaging and deep learning for holographic microscopy. Awards include the IBM Faculty Award and multiple HKU accolades. He is a Fellow of IEEE, Optica, SPIE, IS&T, IOP, and HKIE, and a founding member of the Hong Kong Young Academy of Sciences. Education: B.S., M.S., and Ph.D. in Electrical Engineering from Stanford University (1995–2000). Research Interests: Computational optical imaging, digital holography, neuromorphic imaging, biomedical imaging, AI integration in computational optics. His work bridges algorithmic innovation with practical applications, emphasizing cross-disciplinary solutions for imaging challenges in healthcare and engineering. Awards and Recognition: Over 400 publications, 30+ advised students, IBM Faculty Award, HKU Outstanding Researcher Award (2019), and multiple teaching awards. His research impacts fields like semiconductor lithography and medical diagnostics. Labs and Teams: Imaging Systems Laboratory (founded), Computer Engineering Program leadership, involvement in SPIE conference organization, and editorial roles in top journals like IEEE Transactions on Biomedical Circuits and Systems.

• Quantum simulations
• Quantum computing
• Quantum resource theories
• +3 more

Dr. Qi Zhao is a Tenure-Track Assistant Professor in the Department of Computer Science at the University of Hong Kong (HKU). He specializes in quantum information science, focusing on quantum simulation, quantum computing, and entanglement detection. His research bridges theoretical foundations and practical applications, contributing to advancements in quantum algorithms and device-independent protocols. Education: B.Sc. and Ph.D. from Tsinghua University (2014, 2018). Postdoctoral positions at University of Science and Technology of China (2019) and Hartree Fellow at University of Maryland (2019–2022). Research Interests: Quantum simulation (especially Hamiltonian simulation), quantum resource theories, self-testing quantum information, and entanglement detection. His work emphasizes practical applications of quantum computers and fundamental quantum mechanics. Recent Achievements: Published in Nature Physics (2025), Communications in Mathematical Physics (2025), and Physical Review Letters . Awarded grants including the 2030 National Science and Technology Major Project (2025) and named MIT Innovators Under 35 Asia Pacific (2024). Awards: MIT Technology Review Innovators Under 35 Asia Pacific 2024, 2030 National Science and Technology Major Project Youth Grant, RGC Early Career Scheme, and NSFC Young Scientists Fund. Advising & Grants: Supervises PhD/MPhil students and leads projects on quantum algorithms, entanglement detection, and quantum advantage. Collaborates with HKUST and HKBU on quantum finance initiatives. Labs & Teams: Co-founder of the HKU-Oxford Joint Lab in Quantum Information, leading a multidisciplinary team in quantum computing and information theory.

Yi King ChoiView profile

Senior Lecturer

• Medical visualization
• Geometric computing
• Computer graphics
• +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.

Heming CuiView profile

Associate Professor

• Distributed Systems
• Operating Systems
• Cloud Computing
• +7 more

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.

• Quantum simulations
• Quantum computing
• Quantum resource theories
• +4 more

Dr. Qi Zhao is a Tenure-Track Assistant Professor in the Department of Computer Science at the University of Hong Kong (HKU). His research focuses on quantum information science, including quantum simulations, quantum computing, quantum resource theories, and self-testing quantum information. He holds a PhD from Tsinghua University (2018) and postdoctoral experience at the University of Science and Technology of China and the University of Maryland's QuICS as a Hartree Fellow. His work bridges theoretical advancements and experimental applications, with contributions to quantum algorithms, entanglement detection, and device-independent protocols. Key research interests include Hamiltonian simulation optimizations, quantum resource theory frameworks, and robust self-testing methodologies. Notable achievements include the 'Innovators Under 35 Asia Pacific 2024' recognition by MIT Technology Review and significant grants such as the 2030 National Science and Technology Major Project of China. His team explores quantum differential equation solvers, entanglement acceleration in simulations, and practical quantum algorithm implementations. Dr. Zhao advises a growing team of PhD and MPhil students, focusing on quantum computing and information theory. His research has led to publications in top journals like Nature Physics , Physical Review Letters , and Communications in Mathematical Physics . Current projects include developing efficient quantum algorithms for scientific computation and exploring the theoretical limits of quantum simulation techniques.

YUNG Kai-leungView profile

Professor

• Precision Engineering
• Space Instrument Design
• Deep Space Explorations
• +4 more

Ir Professor YUNG Kai-leung, BBS, holds multiple prestigious positions at The Hong Kong Polytechnic University including Sir Sze-yuen Chung Professor in Precision Engineering, Chair Professor of Precision Engineering, Associate Head of the Department of Industrial and Systems Engineering, and Director of the Research Centre for Deep Space Explorations. He is a globally recognized expert in precision engineering with decades of experience in space technology development. Professor Yung earned his MSc from Imperial College London and PhD from the University of Plymouth. His professional background includes positions at BOC Advanced Welding Co. Ltd., British Ever Ready Group, and Cranfield Unit for Precision Engineering before joining PolyU in 1986. His research focuses on: Advanced space instrumentation for lunar and planetary exploration Precision mechatronic systems for extraterrestrial applications Control systems for deep space missions Nanoscale fabrication techniques Logistical optimization for space operations His recent publications demonstrate strong interdisciplinary focus combining space technology with AI, blockchain, advanced materials, and autonomous systems. Research consistently addresses challenges in deep space exploration through innovative engineering solutions. Significant honors include: Bronze Bauhinia Star (BBS) - Hong Kong SAR Government (2015) 49th International Exhibition of Inventions Geneva - Bronze Medal (2024) 1010 Award for Innovation (2001) Editor's Choice Award from MDPI Machines (2022) As Director of the Research Centre for Deep Space Explorations, he leads teams developing critical instrumentation for China's space program including the Camera Pointing System for Chang'e-3/4 lunar missions, Surface Sampling Systems for Chang'e-5/6, and Mars Landing Surveillance Camera for Tianwen-1.

PerMagnus LindborgView profile

Associate Professor

• Sound Art
• Composition
• Sonification
• +12 more

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 .

Paolo MengoniView profile

Lecturer

• Artificial Intelligence
• Complex Network Analysis
• Natural Language Processing
• +3 more

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.

Ya Yan LU 陸雅言View profile

Professor

• Computational Photonics
• Wave Propagation
• Optical Waveguides
• +4 more

Prof. Ya Yan LU is a Professor at City University of Hong Kong specializing in computational photonics and wave propagation phenomena. His research develops numerical methods for optical structures including waveguides, photonic crystals, and diffraction gratings, with applications in integrated optical circuits. Research Focus: Prof. Lu's work spans: Optical waveguide analysis and design Photonic crystal modeling Nonlinear optics simulations Boundary integral methods for wave propagation Stability analysis of computational techniques High-efficiency algorithms for electromagnetic simulations Teaching: Courses include: Elementary Numerical Methods (MA3513) Numerical Methods for Differential Equations (MA3514) Introduction to Dynamical Systems (MA4528) Computational Linear Algebra (MA6606) Mathematical Methods for EM/Optical Waves (MA6618)

Hubert T.H. ChanView profile

Associate Professor

• Algorithms
• Combinatorial Optimization
• Discrete Metric Spaces
• +4 more

Professor Hubert T.H. Chan is an Associate Professor at the Department of Computer Science, University of Hong Kong, and serves as Programme Director for the BEng(CompSc) programme. He holds a PhD from Carnegie Mellon University (2007) and previously worked as a postdoc at Max-Planck-Institut für Informatik in Germany. His research focuses on algorithms, combinatorial optimization, discrete metric spaces, and security & privacy, with applications in graph theory, network analysis, and privacy-preserving mechanisms. Education: PhD in Computer Science, Carnegie Mellon University, 2007 BEng (Computer Science), details not specified in text Research interests emphasize algorithmic design for dynamic systems, privacy in data aggregation, and efficient optimization techniques. His work bridges theoretical computer science with practical applications in network security and distributed systems. Key grants include Hong Kong RGC-funded projects on oblivious data structures, spectral hypergraph analysis, and dynamic metric problems (2012–2018). His publications span top conferences like SODA, FOCS, WWW, and ICML, addressing challenges in clustering, sorting, privacy, and graph decomposition. He oversees research groups exploring hypergraph learning, secure computation, and algorithmic privacy. His lab's work often intersects with real-world systems, emphasizing both theoretical rigor and practical relevance.

Yifan (Evan) PengView profile

Assistant Professor

• Computational Optics
• Imager and Sensor Technology
• Holography
• +5 more

Yifan (Evan) Peng is an Assistant Professor at the University of Hong Kong, jointly affiliated with the Departments of Electrical & Electronic Engineering and Computer Science. He leads the WeLight Lab, focusing on interdisciplinary research at the intersection of Optics, Graphics, Vision, and Artificial Intelligence. His work emphasizes computational imaging systems, holography, and human-centered visual technologies. Education: PhD in Computer Science from the Imager Lab, University of British Columbia Postdoctoral Research Scholar at Stanford University's Computational Imaging Lab Visiting Student Researcher at KAUST's Visual Computing Center and Stanford MS & BS in Optical Science and Engineering from Zhejiang University Research Interests: His research explores computational optics, holographic displays, VR/AR/MR systems, and low-level vision techniques. Recent efforts include developing snapshot hyperspectral imaging systems, lighting-robust machine vision, and neural rendering frameworks for dynamic scenes. He investigates hardware-software co-design in imaging systems and explores applications in medical imaging and mixed reality. Publications: Recent work focuses on advancing holographic display technologies, neural rendering, and hybrid optical-computational imaging systems. Key contributions include metasurface-based AR displays, speckle reduction techniques, and learned optical systems for hyperspectral imaging. His research bridges physical optics with digital algorithms to achieve high-quality imaging and display solutions. Grants & Advising: Hosts visiting scholars and collaborates with industry partners like Ford, Sony, and Intel. Openings exist for PhD students, postdocs, and research assistants in computational imaging and optics. Labs & Teams: Leads the WeLight Lab at HKU, collaborating with global institutions on projects like neural holography and diffractive optics. Active in conferences like SIGGRAPH, CVPR, and ISMAR as program committee member.

Xiaojuan QiView profile

Assistant Professor

• 3D Vision
• Deep Learning
• Artificial Intelligence
• +4 more

Dr. Xiaojuan Qi is an Assistant Professor in the Department of Electrical and Electronic Engineering at The University of Hong Kong. Her research focuses on 3D vision, deep learning, and AI applications in medical imaging and science. She holds memberships in IEEE and CCF. Education: PhD, The Chinese University of Hong Kong (2018) BEng, Shanghai Jiao Tong University (2014) Postdoctoral Researcher, University of Oxford (prior to HKU) Research Interests: Dr. Qi develops scalable deep learning algorithms for medical and natural image analysis, 3D scene understanding, and neural network behavior in out-of-distribution scenarios. Her work emphasizes label efficiency, geometric reasoning, and cross-modal integration. Lab Contributions: As head of the Computer Vision and Machine Intelligence Lab (CVMI Lab), she explores open-world intelligence, 3D reconstruction, and AI applications in robotics, autonomous systems, and healthcare. Recent lab highlights include 10+ ICCV/CVPR/NeurIPS papers in 2023-2025. Awards: ImageNet Semantic Parsing Challenge (1st Place) Outstanding Reviewer Awards (ICCV 2017/2019) CVPR Doctoral Consortium Travel Award Advising & Grants: Supervises ~20 PhD students (listed in detail). Active in securing grants for embodied AI, medical imaging, and edge computing hardware. Lab Collaborations: Focuses on interdisciplinary projects with Intel, Oxford, and Toronto groups, emphasizing 3D vision, neuromorphic computing, and AI-driven medical solutions.

Chao HuangView profile

Assistant Professor

• Large Language Models
• Graph Learning
• Recommender Systems
• +3 more

Chao Huang is an Assistant Professor at the Department of Computer Science and Institute of Data Science at the University of Hong Kong (HKU). As the director of the Data Intelligence Lab@HKU, his research focuses on Large Language Models (LLMs), LLM Agents, Graph Learning, Recommender Systems, and AI for Smart Cities. He holds a PhD from the University of Notre Dame. Education: PhD in Computer Science from University of Notre Dame (USA). Research Interests: His work bridges machine learning with practical applications, including: Developing advanced LLM frameworks like GraphGPT and UrbanGPT Creating automated research tools (AutoAgent, AI-Researcher) Designing recommendation systems with LLM integration (RLMRec, LLMRec) Exploring spatio-temporal AI for urban challenges Notable Achievements: Over 11,000 Google Scholar citations (h-index 55), multiple top conference awards (WWW/SIGIR/KDD), and open-source projects with thousands of GitHub stars. His work has been recognized as most influential/pioneering in major AI conferences. Labs/Teams: Leads the Data Intelligence Lab, collaborating on projects like LightRAG, MiniRAG, and VideoRAG. The lab emphasizes open-source contributions with repositories on GitHub. Grants/Advising: Supervises PhD/MPhil students and offers research internships. Active in recruiting motivated researchers and students through HKU's programs.