Dingwen Tao is an associate professor in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. He received his Ph.D. in Computer Science from University of California, Riverside in 2018 and his B.S. in Mathematics from University of Science and Technology of China in 2013. He worked as an assistant professor of computer science at Washington State University and University of Alabama between 2018~2022. He works at the intersection of HPC and big data analytics, focusing on scientific data management, HPC storage and I/O systems, fault tolerance at extreme scale, and distributed machine learning. He is the recipient of the R&D100 Awards Winner (2021), IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing (2020), NSF CISE Research Initiation Initiative (CRII) Award (2020), IEEE CLUSTER Best Paper Award (2018), and UCR Dissertation Year Program (DYP) Award (2017).
Chair of Sessions
Numerical Algorithms
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