Dingwen Tao
Biography
Dr. Dingwen (Devin) Tao is a tenure-track assistant
professor in the Department of Computer Science at The
University of Alabama. He received his Ph.D. degree in
Computer Science and Engineering from University of
California, Riverside in 2018 advised by Dr. Zizhong
(Jeffrey) Chen and Dr. Franck Cappello (Argonne National
Laboratory) focusing on High-Performance Computing. He
obtained his B.S. degree in 2013 from College of
Mathematics, University of Science and Technology of
China, majoring in Information and Computing Science.
Prior to joining UA, he worked as a R&D intern in the
Computational Science Initiative Division at Brookhaven
National Laboratory, Mathematics and Computer Science
Division at Argonne National Laboratory, and
High-Performance Computing Group at Pacific Northwest
National Laboratory. Dr. Dingwen Tao's current research
interests include High-Performance Computing (HPC),
Parallel and Distributed Computing, Big Data Analytics,
Scientific Data Analysis and Reduction, Extreme-Scale
Fault Tolerance and Resilience, and Large-scale Machine
Learning. He has published in the major HPC and Big Data
related conferences and journals, including IEEE
BigData/CLUSTER/IPDPS, ACM HPDC/PPoPP, ACM/IEEE SC, IEEE
TPDS, IJHPCA, etc. His research has been supported by the
National Science Foundation (NSF), Department of Energy
(DOE), Argonne National Laboratory, Brookhaven National
Laboratory.
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