OOI Beng ChinDistinguished Professor
Ph.D. (Monash University, Australia, 1989)
B.Sc. (1st Class Honours, Monash University, Australia, 1985)
- Systems & Networking
- Database Systems
- Distributed and Block Chain Systems
- Machine Learning
- Large Scale Analytics
Beng Chin is a Distinguished Professor of Computer Science, NGS faculty member and Director of Smart Systems Institute (SSI@NUS) at the National University of Singapore (NUS). He is also an adjunct Chang Jiang Professor at Zhejiang University, China, and the Director of NUS AI Innovation and Commercialization Centre at Suzhou, China. Beng Chin's research interests include database systems, distributed and blockchain systems and large scale analytics, in the aspects of system architectures, performance issues, security, accuracy and correctness. He works closely with the industry (eg. NUHS, JurongHealth, SGH and Tan Tock Seng Hospital on healthcare analytics and prediabetes prevention), and exploits IT for efficiency in various application domains, including healthcare, finance and smart cities. He is the initiator of Apache SINGA, an Apache top level project (TLP) -- the first Apache Software Foundation (ASF) distributed platform for deep learning. He has his team released the first blockchain benchmarking system, called Blockbench, and enhanced Hyperledger Fabric called FabricSharp. He has released numerous other open sources (https://www.comp.nus.edu.sg/~dbsystem/). He is a co-founder of yzBigData (2012) for Big Data Management and analytics, and Shentilium Technologies (2016) for AI- and data-driven financial data analytics, MZH Technologies (2018) for blockchain based healthcare data management and analytics. He serves as an independent director of ComfortDelgro. Beng Chin serves as a member of Hangzhou Government AI Development Committee (AI TOP 30). He was an advisor to Huobi on its Huobi Chain and Cynopsis Solutions. Beng Chin has served as a PC Chair or Co-Chair of ACM SIGMOD 2007, VLDB 2008, IEEE ICDE 2012 and 2018. He is serving as a PC Chair of ACM SoCC 2020. He has served as a trustee of VLDB endowment 2006-2017, as its secretary 2010-2013, and president 2014-2017, and as an Advisory Board Member of ACM SIGMOD, 2012-2017. He is serving as an associate editor of IEEE Transactions on Cloud Computing (TCC) and Communications of ACM (CACM), and the founding editor-in-chief of ACM-IMS Transactions on Data Science (2018 -). Beng Chin has participated in the last three once-every-five-years database self-assessment meetings: Claremont, Berkeley 2008, Beckman, Irvine 2013, Seattle 2018.
- AI-and Data-driven Financial Management and Analytics (MOE Tier 3)
- AI.SG 3H project (AI.SG Grand Challenge)
- FabricSharp: a scalable blockchain system
- Apache SINGA (future releases): SINGA-Easy, SINGA-lite, SINGA-Auto
K. Zheng, S. Cai, H. R. Chua, W. Wang, K. Y. Ngiam, B.C. Ooi: TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications. ACM SIGMOD 2020.
Z. Xie, H. Ying, C. Yue, M. Zhang, G. Chen, B. C. Ooi: Cool: a COhort OnLine analytical processing system. IEEE International Conference on Data Engineering, 2020.
D. Loghin, S. Cai, G. Chen, T. T. A. Dinh, F. Fan, Q. Lin, J. Ng, B. C. Ooi, X. Sun, Q.-T. Ta, W. Wang, X. Xiao, Y. Yang, M. Zhang, Z. Zhang: The Disruptions of 5G on Data-driven Technologies and Applications. IEEE Transactions on Knowledge and Data Engineering, 2020.
P. Ruan, G. Chen, A. Dinh, Q. Lin, B.C. Ooi, M. Zhang: FineGrained, Secure and Efficient Data Provenance on Blockchain Systems. VLDB 2019. (best paper)
W. Wang, J. Gao, S. Wang, M. Zhang, G. Chen, T.K. Ng, B.C. Ooi, J. Shao: Rafiki: Machine Learning as an Analytics Service System. VLDB 2019.
Z. Xie, Q. Cai, F. He, G.Y. Ooi, W. Huang, B.C. Ooi: Cohort Analysis with Ease. ACM SIGMOD 2018. Demo
J. Dai, M. Zhang, G. Chen, J. Fan, K.Y. Ngiam, B.C. Ooi: Fine-grained Concept Linking using Neural Networks in Healthcare. ACM SIGMOD 2018.
A. Dinh, R. Liu, M. Zhang, G. Chen, B.C. Ooi, J. Wang: Untangling Blockchain: A Data Processing View of Blockchain Systems. IEEE Transactions on Knowledge and Data Engineering, July 2018.
A. Dinh, J. Wang, G. Chen, R. Liu, B. C. Ooi, K.-L. Tan: BLOCKBENCH: A Framework for Analysing Private Blockchains. ACM SIGMOD 2017.
W. Wang, M. Zhang, G. Chen, H. V. Jagadish, B. C. Ooi and K.-L. Tan: Database Meets Deep Learning: Challenges and Opportunities. . ACM SIGMOD Record, 2016.
B. C. Ooi, K.-L. Tan, S. Wang, W. Wang, G. Chen, J. Gao, Z. Luo, A.K.H. Tung, Y. Wang, Z. Xie, M. Zhang, K. Zheng: SINGA: A Distributed Deep Learning Platform. ACM Multimedia (Open Source Software Competition) 2015
D. Jiang, G. Chen, B.C. Ooi, K.L. Tan, S. Wu: epiC: an Extensible and Scalable System for Processing Big Data. 2014. Int'l Conference on Very Large Data Bases (VLDB), 2014. (best paper)
Awards & Honours
- Fellow, Singapore National Academy of Science (SNAS)
- Fellow, IEEE
- Fellow, ACM
- Singapore President's Science Award, 2011
- IEEE Computer Society Kanai award, 2012
- NUS Outstanding Researcher Award, 2013
- IEEE TCDE CSEE Impact Award, 2014
- China Computer Federation (CCF) Overseas Outstanding Contributions Award, 2016
- ACM SIGMOD EF Codd Innovation Award, 2020
- CS6203: Advanced Topics in Database Systems