Dr. Bingsheng He is currently an Associate Professor at Department of Computer Science, National University of Singapore. Before joining NUS in May 2016, he held a research position in the System Research group of Microsoft Research Asia (2008-2010) and a faculty position in Nanyang Technological University, Singapore.
He got the Bachelor degree in Shanghai Jiao Tong University (1999-2003), and the Ph.D. degree in Hong Kong University of Science & Technology (2003-2008).
Bingsheng has served as a PC member for international conferences in databases (e.g.,ACM SIGMOD, VLDB, IEEE ICDE), cloud computing (e.g., ACM SoCC) and parallel and distributed systems (e.g., SC, HPDC and IPDPS),
and as a demo co-Chair in VLDB 2017, PC co-Chair in IEEE CloudCom 2014/2015 ,
HardBD2016, IEEE BigData Congress 2018
and ICDCS 2020.
He has served in editor board of international journals, including
IEEE Transactions on Cloud Computing (IEEE TCC),
IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS),
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE),
Springer Journal of Distributed and Parallel Databases (DAPD).
He has got editorial excellence awards for his service in IEEE TCC and IEEE TPDS in 2019.
His current research interests include Big data management systems (with special interests in cloud computing and emerging hardware systems), Parallel and distributed systems and Cloud Computing. His papers are published in prestigious international journals (such as ACM TODS and IEEE TKDE/TPDS/TC) and proceedings (such as ACM SIGMOD, VLDB/PVLDB, ACM/IEEE SuperComputing, ACM HPDC, and ACM SoCC). He is affiliated with both the Systems and Networking group and the Database group at NUS.
He has got a number of awards including
IBM Ph.D. fellowship (2007-2008),
NVIDIA Academic Partnership (2010-2011) and
Nanyang Education Award (School) 2014.
He has got a number of paper awards and honorable mentions in international prestigious conferences and journals including
ACM SIGMOD 2008,
VLDB 2013 (demo),
IEEE IC2E 2016,
2017 IEEE/ACM William J. McCalla ICCAD Best Paper Award,
and PACT 2018 (see Awards).
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