Invited talks
- 2022: Los Alamos National Laboratory on “Scientific machine learning: Bridging physical models and observational data”
- 2021: NASA Langley Research Center on “Physics informed deep learning methods for brittle fracture”
- 2021: George Washington University on “Physics informed deep learning methods: a solution to bridge data gap in computational mechanics”
- 2020: Brown University on “Phase field modeling of fracture with isogeometric analysis and machine learning methods”
Computational grants
- 2022: U.S. Department of Energy for ASCR Leadership Computing Challenge (ALCC) award. “A Multiscale Surrogate Model for Fracture Evolution using DeepONet.”
- 2022: ALCF Director’s Discretionary Allocation Grant for developing and scaling multi-scale fracture codes.
- 2021: XSEDE startup grant for developing multi-scale codes. Grant Number: CIS210111- Surrogate modeling for multiscale fracture analysis using DeepONets.
Awards
- 2022: Selected for the Argonne Training Program on Extreme-Scale Computing.
- 2021: INSPIRE Faculty Fellowship, Department of Science and Technology, India}.
- 2021: Postdoctoral Research Associate Funding from the Division of Applied Mathematics, Brown University, USA.
- 2018: Best Paper Award for presenting Topology optimization under uncertainty at Structural Engineering Convention, 2018.
- 2017: Deutscher Akademischer Austauschdienst (DAAD) Scholarship for pursuing Ph.D. in Germany.
- 2011: Ministry of Human Resource and Development, Govt. of India fellowship for pursuing Master of Engineering.
