People of ACM - Ke Yi
Ke Yi is a Professor at the Hong Kong University of Science and Technology (HKUST), where he serves as the Director of the MSc program in Big Data Technology. Yi’s research interests include database theory and systems, query processing, data security and privacy, parallel and distributed algorithms, data streams, sampling, and data summarization. He is especially noted for his significant contributions to approximate query processing (AQP), a vital tool for dealing with massive amounts of data. Yi’s honors include receiving two ACM SIGMOD Best Paper Awards, four ACM SIGMOD Research Highlight Awards, and an ACM PODS Test of Time Award. He was recently named an ACM Fellow for contributions to the theory and practice of query processing.
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