Big Data Computing with Spark

Ke Yi serves as Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology, where he also directs the MSc Program in Big Data Technology. After completing his BS from Tsinghua University in 2001 and PhD from Duke University in 2006, he has established himself as a leading expert in database theory, parallel computing, and data stream algorithms. His research excellence is evidenced by multiple prestigious awards, including two SIGMOD Best Paper Awards (2022, 2016), a PODS Test-of-time Award (2022), a SIGMOD Best Demonstration Award (2015), and a Google Faculty Research Award (2010). As an ACM Distinguished Member, he has made significant contributions to database systems and algorithms, particularly in areas of data security, privacy, and distributed computing. His teaching excellence has been recognized with multiple Best Teaching Awards for his course on Big Data Computing. Beyond his academic work, Yi maintains active research collaborations with industry partners including Alibaba, Huawei, Microsoft, and Google, while serving as associate editor for prestigious journals and regularly chairing major conferences in the field. His research spans theoretical computer science and practical database systems, with particular emphasis on designing algorithms that offer both theoretical guarantees and practical effectiveness.