Dr. Kshitij V. Mehta is a Computer Scientist in the Workflow Systems Group. His interests span scalable workflows and large data management for extreme-scale computing. He has developed scalable ensemble tools such as Cheetah and has developed AI workflows for generating molecular data for training large neural networks. He has worked on large-scale data management for science applications such as the Gyrokinetic Toroidal Code (GTC) for plasma physics.
Dr. Mehta joined Oak Ridge National Laboratory as a Computer Scientist in January 2017. Previously, he was a visiting scientist at ORNL as part of a CRADA between ORNL and TOTAL Energies. From 2013-2016, he was HPC Research Scientist at TOTAL, where he conducted research on using directive-based programming models such as OpenACC for large-scale seismic modeling. He was a member of the OpenACC programming committee during this time.
Dr. Mehta graduated with a Ph.D. in Computer Science from the University of Houston, Texas, in 2013 under the guidance of Dr. Edgar Gabriel. He holds a Masters degree in Computer Science from the University of Houston and a Bachelors degree in Computer Engineering from the University of Mumbai, India.
Dr. Mehta has served on the technical and program committees and as a reviewer for several conferences and journals, including SC, ICPP, PASC, SSDBM, CCGrid, CCPE, IEEE Cluster, and OpenSHMEM.
He is a member of IEEE and ACM.