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Dr. Shigang Li is currently a Professor (PhD supervisor) in School of Computer Science, Beijing University of Posts and Telecommunications. His research interests include parallel and distributed deep learning systems, high performance computing, and heterogeneous computing. He was a Postdoctoral Researcher in SPCL Lab, ETH Zurich from 2018 to 2022. He received the Bachelor’s degree majored in Computer Science and the Ph.D degree majored in Computer Architecture from University of Science and Technology Beijing, in 2009 and 2014, respectively. He was a joint Ph.D student in Department of Computer Science, University of Illinois at Urbana-Champaign from 2011 to 2013. He was an Assistant Professor in State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences from 2014 to 2018. He got the Best Paper Nominations (as the leading author) in SC’22, SC’21, PPoPP’20 and HPDC’13, and Outstanding Paper Award of MLSys’21, Best Reproducibility Advancement Award of SC’22. He has served as the PC members in top conferences (SC, PPoPP, IPDPS, IEEE Cluster, ICPP, etc.) and the invited reviewers in prestigious journals (IEEE TPDS, IEEE TSC, IEEE TBD, JPDC, etc.). He is the Associate Editor of Cluster Computing and the Youth Editor of CCF THPC, and has been Publicity Co-Chair of PPoPP’23, Publications Chair of IISWC’20, and Workshop Co-Chair of ICS’18. He is an Executive Committee Member of CCF TCHPC, and an Executive Committee Member of ACM SIGHPC China Chapter. He is a member of IEEE, and a senior member of ACM and CCF.
|PPoPP 2023|| A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations|
Publicity Chair (Europe) in Organizing Committee
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