Dingwen Taoverfied profile
Dr. Dingwen Tao is an assistant professor in the School of EECS at Washington State University. Prior to that, he worked as an assistant professor at the University of Alabama, and interned at Brookhaven National Laboratory, Argonne National Laboratory, and Pacific Northwest National Laboratory. He received his bachelor’s degree in Mathematics from University of Science and Technology of China in 2013 and his Ph.D. degree in Computer Science from University of California, Riverside in 2018. His research interests include high-performance computing, parallel and distributed systems, and big data analytics. Specifically, he focuses on scientific data management, resilience and fault tolerance at scale, and distributed machine learning and deep learning. He has published over 30 high-quality papers in prestigious international conferences and journals, such as ACM ICS, HPDC, PPoPP, SC, IEEE BigData, Cluster, IPDPS, MSST, TPDS, ICPP, PACT, IJHPCA, including two Best Papers.