جست‌وجوی استاد و پژوهشگر

Jinzhao Duمشاهده پروفایل

دانشیار

• Platform-based marketing
• Multi-sided media markets
• Matching platforms
• +۵ مورد دیگر

Jinzhao Du serves as Associate Professor of Marketing at The University of Hong Kong's Faculty of Business and Economics, where he also holds the position of BBA Deputy Programme Director and Admissions Tutor. His academic journey includes a Ph.D. in Marketing from Duke University (2018) and a B.A. in Economics from Tsinghua University (2012). His educational background includes: Ph.D. in Marketing, Duke University, 2018 B.A. in Economics, Tsinghua University, 2012 Professor Du's research centers on platform-based marketing, with particular emphasis on media platforms and matching platforms. His work examines strategic interactions among multiple players in media ecosystems (publishers, consumers, advertisers, content suppliers, and news aggregators) and investigates how information design, strategic pricing, and AI development can improve matching outcomes. He employs game-theoretic models to analyze these complex market dynamics, with growing attention to how consumer data rights and AI tools are reshaping platform marketing landscapes. His publication portfolio reveals consistent contributions to top marketing and operations journals, with recent work focusing on personalized product offerings, ride-hailing platform operations, customer review systems, media platform competition, and publisher-aggregator relationships. The research demonstrates a strong theoretical foundation while addressing practical challenges faced by platform companies. Notable recognition includes: 2022 Research Output Prize in the Faculty of Business and Economics at HKU Professor Du actively mentors doctoral students, including executive professionals pursuing DBAs, and teaches courses including Pricing Strategies and Tactics (MSMK 7031), Pricing Strategies (MKTG3527), and Introduction to Marketing (MKTG2501). His industry engagement informs his research on organizational communication and platform strategy, bridging academic theory with practical business applications. He has also shared insights on platform competition strategies, ethical pricing approaches, and the importance of quantitative skills in modern marketing.

Francis C.M. Lauمشاهده پروفایل

استاد

• Parallel and Distributed Computing
• Wireless Networks
• Operating Systems
• +۶ مورد دیگر

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.

• Quantum simulations
• Quantum computing
• Quantum resource theories
• +۴ مورد دیگر

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.

• Quantum Information Theory
• Quantum Cryptography
• Quantum Computation
• +۲ مورد دیگر

Professor Hoi Fung Chau is a theoretical quantum information scientist at the Department of Physics, Faculty of Science, The University of Hong Kong. With a research focus spanning quantum cryptography, quantum computation, and quantum speed limits, his work bridges rigorous mathematical proofs with practical innovations like satellite-to-ground communication patents. Education: B.Sc. (1989) and Ph.D. (1992) from HKU Research Interests: His research primarily explores: Quantum speed limits for information processing Secure key rate optimization in quantum cryptography Quantum information theory fundamentals Theoretical astrophysics applications Recent Research Trends: His 15 most recent publications focus on quantum communication protocols, speed limit theory, and atmospheric distortion mitigation in satellite links. These works span mathematical physics foundations, practical quantum network engineering, and statistical frameworks for finite-key analysis. Awards: Outstanding Referee, American Physical Society (2009) Grants & Collaborations: Currently leading General Research Fund projects on quantum speed limits and depolarization security, while maintaining extensive collaborations across Hong Kong-Shenzhen quantum research workshops and ERATO conferences.

Hubert T.H. Chanمشاهده پروفایل

دانشیار

• Algorithms
• Combinatorial Optimization
• Discrete Metric Spaces
• +۴ مورد دیگر

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.

Xiaojuan Qiمشاهده پروفایل

استادیار

• 3D Vision
• Deep Learning
• Artificial Intelligence
• +۴ مورد دیگر

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.

• Control Theory
• Estimation and filtering theory
• Complex dynamical distributed networks
• +۳ مورد دیگر

Daniel W. C. HO is a Chair Professor of Applied Mathematics and Associate Dean (Undergraduate Education) at the College of Science, City University of Hong Kong. He has been with City University of Hong Kong since 1989, having previously served as a Research Fellow at the University of Strathclyde, Glasgow, UK from 1985 to 1988. Prof. Ho received first class honours in BSc, MSc, and PhD degrees in mathematics from the University of Salford, Greater Manchester, UK in 1980, 1982, and 1986, respectively. His academic journey began with foundational work in control theory and has evolved into a distinguished career spanning over three decades. Prof. Ho's research interests span multiple domains in control theory and systems engineering. His primary focus areas include Control Theory , Estimation and filtering theory , Complex dynamical distributed networks , Multi-agent networks , Nonlinear singular systems , and Stochastic systems . His work bridges theoretical advances with practical applications, particularly in networked control systems, cybersecurity for cyber-physical systems, and distributed optimization. Prof. Ho has made significant contributions to the understanding of synchronization phenomena in complex networks, resilient control under cyber attacks, and quantized control systems with communication constraints. His research has evolved from classical control theory to address contemporary challenges in networked and distributed systems, reflecting the changing landscape of control engineering. Prof. Ho's publication record shows a strong emphasis on secure control systems under cyber attacks, distributed optimization with communication constraints, event-triggered control schemes, quantized control systems, and synchronization of complex networks. His work demonstrates a consistent progression from theoretical foundations to addressing practical implementation challenges in cyber-physical systems, with increasing focus on security aspects in recent years. Prof. Ho has received numerous prestigious awards and honors throughout his career. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2017 and elevated to IEEE Life Fellow status in 2024. He was awarded the Chang Jiang Chair Professorship by the Ministry of Education, China in 2012. Prof. Ho has been recognized as a Highly Cited Researcher for eleven consecutive years from 2014 to 2024, and is among the Top 2% of most highly cited scientists globally from 2020 to 2024. He received the Best Paper Award from The 8th Asian Control Conference in 2011 and the Teaching Excellence Award from City University of Hong Kong in 2020 for his innovative teaching approaches. Prof. Ho has held significant editorial responsibilities, serving as Subject Editor of the Journal of Franklin Institute, Co-Editor in Chief of Franklin Open, Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, Asian Journal of Control, and Action Editor of Neural Networks. He has also served on the editorial boards of several other prestigious journals, contributing to the advancement of his field through scholarly communication. His leadership extends beyond research and teaching as Associate Dean (Undergraduate Education) of the College of Science at City University of Hong Kong, where he plays a key role in shaping the educational experience for science students.