Fellow of Singapore National Academy of Science (2016) and Singapore Academy of Engineering (2023)
Foreign Member of Academia Europaea (2022) and Chinese Academy of Sciences (2023)
2009 ACM SIGMOD Contributions Award
2020 ACM SIGMOD Edgar F. Codd Innovations Award
2024 ACM SIGMOD Systems Award
Co-recipient of the 2011 Singapore President’s Science Award
2012 IEEE Computer Society Kanai Award
2014 IEEE TCDE CSEE Impact Award
2016 CCF Overseas Outstanding Contributions Award
2021 NUS University Research Recognition Award and 2013 NUS Outstanding Researcher Award
Best Paper Awards at VLDB’14 and VLDB’19
2020 ACM SIGMOD Research Highlight Award
H-index: 96; Citations: 33,808
Recipient of the 2013 Singapore National Day Public Administration Medal (Silver)
Research Experience
Led the design and implementation of Apache SINGA (first Apache Top-Level Project on distributed deep learning), BlockBench (world’s first blockchain benchmarking framework), COOL (AI- and data-driven cohort OLAP engine), and Falcon (privacy-preserving federated learning platform)
Longstanding PC member for top-tier conferences including ACM SIGMOD, VLDB, IEEE ICDE, WWW, and SIGKDD
Served as PC Chair or co-Chair for multiple conferences, e.g., ACM SIGMOD’07 Chair, VLDB’08 Core DB Chair, IEEE ICDE’12 co-Chair
Editor-in-Chief of IEEE TKDE (2009–2012)
Associate Editor for VLDB Journal, Springer’s Distributed and Parallel Databases, and IEEE TKDE
Founding co-Editor-in-Chief of Elsevier’s Journal of Big Data Research (2013–2015)
Background
Qiushi Chair Professor at Zhejiang University and Professor at the School of Software Technology, Zhejiang University
Former Dean of the School of Computing at the National University of Singapore (NUS) from 2007 to 2013
Former Lee Kong Chian Centennial Professor at NUS
Adjunct Chang Jiang Professor at Zhejiang University
Visiting Distinguished Chair Professor at NUS, Visiting Chair Professor at Peking University, and Visiting Distinguished Professor at Tsinghua University
Research focuses on fundamental data and systems abstractions for modern data-driven applications
Research interests include database systems, distributed and blockchain systems (DBxBC), machine learning and large-scale analytics (DBxAI), covering system architectures, performance, security, accuracy, and correctness
Collaborates closely with healthcare institutions (e.g., Singapore hospitals) and financial firms to drive innovation in AI- and data-driven domains such as healthcare, finance, and smart cities