Zhiyi Huang

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