Abhinav \ʌb-hɪ-'nəv\ (Ub-hi-nev)
Bhatele \bʱə-'teɪ-leɪ\ (Bhe-ta-lay)
Hindi: अभिनव भटेले
Japanese: バテーレ アビナブ
Curriculum Vitae: pdf
Abhinav Bhatele is an associate professor in the department of computer
science, and director of the Parallel Software and Systems Group at the University
of Maryland, College Park. His research interests are broadly in systems and
networks, with a focus on parallel computing and large-scale data analytics.
He has published research in parallel programming models and runtimes,
network design and simulation, applications of machine learning to parallel
systems, parallel deep learning, and on analyzing/visualizing, modeling and
optimizing the performance of parallel software and systems. Abhinav has
received best paper awards at Euro-Par 2009, IPDPS 2013 and IPDPS 2016.
He was selected as a recipient of the IEEE TCSC Young Achievers in Scalable Computing award
in 2014, the LLNL Early and Mid-Career Recognition award in 2018,
and the NSF CAREER award in 2021.
Abhinav received a B.Tech. degree in Computer Science and Engineering from I.I.T. Kanpur, India in May 2005, and M.S. and Ph.D. degrees in Computer Science from the University of Illinois at Urbana-Champaign in 2007 and 2010 respectively. He was a post-doc and later computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory from 2011-2019. Abhinav is an associate editor of the IEEE Transactions on Parallel and Distributed Systems (TPDS). He is one of the General Chairs of IEEE Cluster 2022, and Research Papers Chair of ISC 2023.