Beng Chin is a Distinguished Chair Professor of Computer Science, NGS faculty member and Director of Smart Systems Institute (SSI@NUS) at the National University of Singapore (NUS), and an adjunct Chang Jiang Professor at Zhejiang University, China. He obtained his BSc (1st Class Honors) and PhD from Monash University, Australia, in 1985 and 1989 respectively. He is a co-founder of yzBigData in 2012 for Big Data Management and analytics, and Shentilium Technologies in 2016 for AI- and data-driven Financial data analytics, and an advisory council member of a Fintech company, Cynopsis Solutions.
Beng Chin's research interests include database, distributed processing, machine learning and large scale analytics, in the aspects of system architectures, performance issues, security, accuracy and correctness. He is also interested in exploiting IT in production and process reengineering (eg. JIT fabric printing, heathcare innovation , food analysis, and smart city.)
He was the recipient of ACM SIGMOD 2009 Contributions award, a co-winner of the 2011 Singapore President's Science Award, the recipient of 2012 IEEE Computer Society Kanai award, 2013 NUS Outstanding Researcher Award, 2014 IEEE TCDE CSEE Impact Award, and 2016 China Computer Federation (CCF) Overseas Outstanding Contributions Award. He was a recipient of VLDB'14 Best Paper award.
Beng Chin has served as a PC member for international conferences such as ACM SIGMOD, VLDB, IEEE ICDE, WWW, and SIGKDD, and as Vice PC Chair for ICDE'00,04,06, PC co-Chair for SSD'93 and DASFAA'05, PC Chair for ACM SIGMOD'07, Core DB PC chair for VLDB'08, and PC co-Chair for IEEE ICDE'12 and IEEE Big Data'15. He is serving as a PC Chair for IEEE ICDE'18. He was an editor of VLDB Journal and IEEE Transactions on Knowledge and Data Engineering, Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (TKDE)(2009-2012), Elsevier's co-Editor-in-Chief of Journal of Big Data Research (2013-2015), and a co-chair of the ACM SIGMOD Jim Gray Best Thesis Award committee. He is serving as an editor of IEEE Transactions on Cloud Computing and Springer's Distributed and Parallel Databases. He is also serving as a Trustee Board Member and President of VLDB Endowment, and an Advisory Board Member of ACM SIGMOD.
With the ubiquity of Big Data and fusion of applications and technologies, the projects are related in many aspects. Beng Chin approaches research problems and system design with the philosophy that all algorithms and structures should be simple, elegant and yet efficient so that they can be easily grafted into existing systems and they are implementable, maintainable and scalable in actual applications, and all systems must be efficient, scalable, extensible and easy to use.