Arnab K. Paul is a postdoctoral research associate in the AI, Analytics, & Scalable Methods Group at the Oak Ridge National Laboratory. His research interests include high performance computing, applied machine learning, cloud computing, Internet of Things, distributed systems, parallel file systems, edge computing, and big data analysis. His current research focus is to find I/O patterns and performance bottlenecks for HPC AI applications and develop a cache to optimize I/O for large-scale deep learning applications.
Arnab recently completed his Ph.D. in Computer Science at Virginia Tech advised by Dr. Ali R. Butt. His Ph.D. has been greatly impacted by three summer internships – Argonne National Laboratory in 2017 under the mentorship of Dr. Ian Foster, Lawrence Livermore National Laboratory in 2018 under the guidance of Dr. Kathryn Mohror, and Cray Inc. in 2019 where he learned the industry aspects of HPC storage under the guidance of Cory Spitz and Nathan Rutman.
Apart from research, Arnab enjoys playing and watching cricket. He loves listening to songs and writing poems. He also takes active participation in half marathon runs. Arnab believes that a happy and balanced lifestyle yields positive research.