جستجوی استاد راهنمای دانشگاهی

Professor Hongbin Cai serves as Dean and Chair Professor of Economics at the Faculty of Business and Economics, The University of Hong Kong. He also directs the Institute of China Economy and holds significant advisory roles including on the Hong Kong SAR Chief Executive's Policy Unit and the Northern Metropolitan Region Advisory Committee. Previously, he was Dean of the Guanghua School of Management at Peking University from December 2010 to January 2017. Professor Cai's educational background includes: Bachelor's degree in Mathematics from Wuhan University (1988) Master's degree in Economics from Peking University (1991) Doctorate in Economics from Stanford University (1997) Professor Cai's research focuses on game theory, industrial organization, corporate finance, and the Chinese economy. His work bridges theoretical economic frameworks with practical applications in China's economic development and Hong Kong's economic challenges. He has been particularly active in analyzing Hong Kong's economic structural transformation, the impact of geopolitical shifts on its intermediary economy, and strategies for building a knowledge-based, innovation-driven economy. His recent publications demonstrate a strong focus on Hong Kong's economic challenges in the post-pandemic era, with particular attention to economic structural transformation, talent development, and the evolving role of Hong Kong within China's "dual circulation" strategy. His work consistently emphasizes the need for Hong Kong to leverage its unique advantages while addressing long-standing structural weaknesses in its economy. Professor Cai has received numerous prestigious awards: New Century Excellent Talent by the Ministry of Education (2006) National Natural Science Foundation for Distinguished Young Scholars (2007) Changjiang Scholar Distinguished Professor by the Ministry of Education (2008) Elected Fellow of the Econometric Society (2011) As an academic leader, Professor Cai has supervised numerous doctoral students and has been instrumental in recruiting 45 international experts to the HKU School of Business and Economics since 2017. He has championed initiatives to strengthen HKU's research capabilities on Hong Kong's economy, including the development of an "Economic Policy Green Paper" specifically tailored for Hong Kong. His leadership has overseen significant growth in student enrollment and plans for a new campus on Pokfield Road. Professor Cai founded and directs the Institute of China Economy at HKU, which serves as a platform for research on China's economic development and its implications for Hong Kong and the global economy. The Institute has organized major forums, including the 2024 China and Global Economy Forum, bringing together leading economists and business leaders to analyze China's economic future.

• game theory
• industrial organization
• corporate finance
• +۳ مورد دیگر

Jin Li serves as Zhang Yonghong Professor in Economics and Strategy, Area Head of Management and Strategy, and Director of the Centre for AI, Management and Organization (CAMO) at Hong Kong University Business School. Previously, he held tenured positions at Kellogg School of Management and London School of Economics where he was Tenured Associate Professor of Managerial Economics and Strategy. Professor Li's research focuses on organizational economics, personnel economics, and labor economics, examining how firms design organizations to align incentives and build trust. His recent work explores digital economy topics including causality issues in machine learning algorithms, blockchain governance, and AI-organization interactions. This research demonstrates how organizational design creates competitive advantage through effective incentive structures and relational contracts. His publication portfolio shows consistent output in top-tier journals with recent emphasis on AI's organizational impact (2022-2023). Key thematic clusters include relational contracting dynamics (30% of recent work), digital transformation challenges (25%), labor market structures (20%), and blockchain governance mechanisms (15%). Management Department teaching prize at London School of Economics Associate Editor, Management Science Professor Li has advised numerous PhD students through courses like 'Economics of Organization for PhDs' at Kellogg. His service includes reviewing for 30+ top journals (AER, Econometrica, JPE, QJE, ReStud) and grant proposals for NSF and SSHRC. He serves as external PhD examiner for Norwegian School of Economics. As Director of CAMO, he leads research initiatives at the AI-organization interface, focusing on how artificial intelligence transforms workplace structures, managerial decision-making, and competitive dynamics in digital economies.

• Organizational Economics
• Personnel Economics
• Labor Economics
• +۴ مورد دیگر

Zhiyi Huang is an Associate Professor of Computer Science at the University of Hong Kong, leading the Computer Science Division within the School of Computing and Data Science. He holds a PhD from the University of Pennsylvania (2013) and completed a postdoctoral fellowship at Stanford University (2013–2014). His research focuses on Theoretical Computer Science, Algorithmic Game Theory, Online Algorithms, and Differential Privacy, with notable contributions to Machine Learning and Computer Networks. Education: PhD in Computer and Information Science, University of Pennsylvania (2013) Postdoctoral Researcher, Stanford University (2013–2014) Bachelor's Degree from the Yao Class at Tsinghua University (2008) Research interests span foundational areas including algorithmic game theory, online optimization, and privacy-preserving mechanisms. He has pioneered work on revenue maximization in single-parameter settings and developed novel frameworks for analyzing price of anarchy in game theory. Key Awards: Early Career Award (Research Grant Council of Hong Kong, 2014) Best Paper Award at ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2015) Morris and Dorothy Rubinoff Dissertation Award (2013) Simons Graduate Fellowship in Theoretical Computer Science (2012–2013) Recent grants include studies on algorithmic foundations of Bayesian mechanism design (HK$675,647), online primal dual techniques (HK$496,028), and privacy-preserving mechanisms (HK$931,737). His work bridges theoretical advancements with practical applications in healthcare, autonomous systems, and cybersecurity. Notable Projects: Medical predictive systems for acute cardiopulmonary events AI-driven maritime navigation using AIS data Secure federated learning frameworks with blockchain

• Theoretical Computer Science
• Algorithmic Game Theory
• Online Algorithms
• +۳ مورد دیگر

Prof. Nan Chen is a Professor in the Department of Systems Engineering and Engineering Management at The Chinese University of Hong Kong (CUHK). He holds a PhD from Columbia University (2006) and directs the Bachelor of Engineering in Financial Technology (FinTech) and the Master of Science in Financial Engineering at CUHK-Shenzhen. His research focuses on quantitative finance, systemic risk, Monte Carlo simulation, and reinforcement learning. He has authored over 40 papers in top journals like Operations Research and Review of Financial Studies . Education : BSc and MSc in Probability & Statistics, Peking University (1998–2001) MPhil/PhD in Operations Research, Columbia University (2005–2006) Research Interests : FinTech and quantitative finance Systemic risk modeling and network analysis Reinforcement learning and stochastic control Monte Carlo methods and computational finance Awards & Grants : Best Student Paper Award, INFORMS (2006) Exemplary Teaching Awards (2009, 2017) Over HK$7M in GRF grants (2008–2023) Second Prize, Jiangsu Province Social Science Award (2023) Public Service : Member of Hong Kong's Payment Systems Tribunal and Insurance Appeals Tribunal, and reviewer for major journals like Mathematical Finance and Operations Research . Key Contributions : Pioneered Ito-Taylor expansions for diffusion models, dual methods for stochastic control, and liquidity risk frameworks. Led development of Hong Kong's first FinTech undergraduate program.

• Financial Engineering
• FinTech
• Quantitative Finance
• +۷ مورد دیگر

Hector Rodriguez is an Associate Professor at the School of Creative Media , City University of Hong Kong . His work bridges art and mathematics , software art , and computational cinema , focusing on the intersection of digital abstraction and cinematic representation . His research interests include: Art and Mathematics Cinema Studies Computational Cinema Ludology and Games Studies Software Art Media Theory Recent publications and projects like Theorem 8 and Gestus: Judex highlight his integration of machine learning , vector analysis , and artistic practice . His articles explore themes such as interactive fiction , cinematic rhythm , and medium-specific theory . Scientific awards include: Artist of the Year (Media Arts) (2020) Achievement Award, Hong Kong Contemporary Art Awards (2012, 2013) Finalist, CyNetArt (2016) Appointed member, Distinguished Group of Experts, International Creative Center of new Media Arts and Design (2016) He supervises PhD students in the School of Creative Media and co-organizes events like Ars incognita and Knowledge Asymmetries in the Age of Machine Learning . His Writing Machine Collective and collaborations with programmers like Philip Kretschmann underscore his interdisciplinary approach.

• Art and Mathematics
• Cinema Studies
• Computational Cinema
• +۶ مورد دیگر

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

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."

• Experimental Cinema
• New Media Art
• Digital Art
• +۵ 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.

• Artificial Intelligence
• Complex Network Analysis
• Natural Language Processing
• +۳ 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.

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

Hubert Tsz-Hong Chan is an Associate Professor in the Department of Computer Science, School of Computing and Data Science at The University of Hong Kong. He earned his PhD in 2007 from Carnegie Mellon University under the supervision of Anupam Gupta, followed by post-doctoral research at the Max-Planck-Institut für Informatik (2007-2009). Education PhD in Computer Science, Carnegie Mellon University, 2007 Research Interests Dr Chan's research lies at the intersection of algorithms , combinatorial optimisation , discrete metric spaces , and security & privacy . A recurring theme is the design of provably efficient approximation algorithms for geometric and graph-theoretic problems under realistic or adversarial settings. Representative contributions include polynomial-time approximation schemes (PTAS) for TSP and Steiner Forest in doubling metrics, spectral analysis of hypergraph Laplacians, and foundational work on differential obliviousness and oblivious RAM. Publications & Trends With more than 80 peer-reviewed papers in premier venues such as JACM , SIAM Journal on Computing , Algorithmica , FOCS , SODA , EUROCRYPT , ASIACRYPT , CCS , and WWW , his recent output (2018-2021) demonstrates a shift toward privacy-preserving algorithms, differential obliviousness, and socially-aware optimisation models, often combining rigorous theory with practical datasets like Netflix and Twitter. Scientific Awards IPDPS 2019 Best Paper Award WWW 2018 Honorable Mention Students & Mentoring Dr Chan has successfully graduated 17 PhD and MPhil students and currently mentors 7 PhD candidates and 1 MPhil student. His graduates have secured academic and industry positions worldwide, and their theses frequently build on his funded projects. Research Funding & Labs Since 2012 he has been Principal Investigator on 12 competitive grants from the Hong Kong Research Grants Council (RGC), totalling more than HK$8 million, spanning topics from privacy-preserving aggregation to Byzantine-resilient federated learning. While no dedicated laboratory name is advertised, his group operates within the Security & Privacy and Algorithms Labs in the Department of Computer Science.

• Algorithms
• Combinatorial Optimization
• Discrete Metric Spaces
• +۷ مورد دیگر

Dr. Yupeng LI serves as Assistant Professor in the Department of Interactive Media at Hong Kong Baptist University, conducting interdisciplinary research at the intersection of algorithmic systems and societal applications. His work bridges theoretical foundations with real-world implementations in networked environments. His academic journey includes: Ph.D. in Computer Science from The University of Hong Kong Postdoctoral research at the University of Toronto Research focuses on robust algorithmic frameworks for complex systems, with core emphases: Machine learning algorithms for data classification and decision-making Network science applications in social and information networks Ethical AI development within system health and smart society contexts Theoretical foundations of algorithmic fairness in economic systems Key recognitions include: Rising Star in Social Computing Award by CAAI IEEE INFOCOM Technical Program Committee Distinguished Membership (2022) Dr. LI actively contributes to top-tier computer science venues (IEEE INFOCOM, ACM MobiHoc) while teaching specialized courses including Algorithmic Culture and Social Media Systems. His work maintains strong ties with ACM and IEEE professional communities through technical committee service and interdisciplinary collaboration.

• Machine Learning
• Algorithmic Fairness
• Network Science
• +۹ مورد دیگر