Invited talks

• 2023: Argonne Training Program on Extreme-Scale Computing (ATPESC) on “Transfer and Multi-Task Learning in Physics-Based Applications with Deep Neural Operators”.
• 2023: SAMVAAD, Bosch Global Software Technologies Private Limited on “Employing machine learning approaches to solve PDEs in Mechanics within big-data regime”.
• 2023: One World Seminar Series on the Mathematics of Machine Learning on “Transfer Learning in Physics-Based Applications with Deep Neural Operators”.
• 2023: USACM Technical Thrust Area, Seminar on UQ and Probabilistic Modeling on “Integration of Numerical Modeling and Machine Learning in Mechanics”.
• 2022: Penn State University-Purdue University-University of Maryland, Joint Seminar on Mathematical Data Science on “Transfer learning in Deep Neural Operators”.
• 2022: Vanderbilt University, Emerging Scholars Seminar on “Scientific machine learning: Research at the Intersection of Mathematics, Computing, and Data”.
• 2022: The University of Texas at El Paso, Advanced Modeling and Simulations Seminar Series on “At the crossroads of Numerical Modeling & Machine Learning for Mechanics”.
• 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”.

Grants

• 2023-2027: U.S. Department of Energy Office of Science, Awarded as a co-PI. Amount = $4.8M. Title: Physics and Uncertainty Informed Latent Operator Learning.
• 2023-2024: Small Business Innovation Research Fund from Defense Threat Reduction Agency, USA, Awarded as a co-PI. Amount = $1.1M. Title: Numerics-Informed Neural Networks (Phase II).
• 2023-2024: Seed grant under Data Science Initiative, Brown University, Awarded as a PI. Amount = $18,850. Title: Advancing Nucleic Acid Electrophoretic Mobility Models through Scientific Machine Learning: Implications for Quality Control in RNA-Based Therapies
• 2023: Brown University funding for Summer Projects for Research, Internships, and Teaching, Awarded as a PI. Amount =$2,500. Title: Generalizing AI for Partial Differential Equations: A Path towards AG

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 (ATPESC 2022).
• 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.