Dr. Kshitij V. Mehta is a Computer Scientist in the Workflow Systems Group at Oak Ridge National Laboratory. His research interests span scalable workflows, AI-driven data generation, and large-scale data management for extreme-scale computing. He has developed scalable ensemble workflow tools such as Cheetah and designed AI workflows for generating molecular datasets to train large graph neural networks. His work also extends to large-scale data management for scientific applications, including the Gyrokinetic Toroidal Code Gyrokinetic Toroidal Code (GTC) for plasma physics, advancing both high-performance computing and scientific discovery.
Links
Publications
Mar, 2026
Conference Paper
MDLoader: A Hybrid Model-driven Data Loader for Distributed Deep Neural Networks Training