I am a researcher in the Risk, Reliability, and Resilience in engineering group. I use physics-based, data-driven (machine learning, ML) and physics-informed ML models to predict behavior of engineering systems and diagnose their flaws. I design systems/components and optimize their performance under diagnostic and prognostic uncertainty. I have built digital twins for multiple complex systems, and demonstrated their use for optimal system operation. I have worked in the following application domains:

• Power grids (risk-aware market clearing, forecasting, sensitivity analysis for stochastic optimization);

• Manufacturing (real-time composite cure monitoring, multi-fidelity modeling for additive manufacturing);

• Aerospace (damage-adaptive rotorcraft maneuvers, information fusion for air traffic safety);

• Imaging (ultrasound imaging of kidney stones, geophysical imaging);

• Oil and gas (enhanced oil recovery);

• Infrastructure (structural health monitoring, design of blast-hardened structures).

Education:

• Ph.D., Civil Engineering, The University of Texas at Austin (Advisor: Prof. Loukas F. Kallivokas) ;

• M.S.E., Civil Engineering, The University of Texas at Austin;

• B.E., Civil Engineering, Govt. College of Engineering, Pune, India

Email: "first name" dot "last name" at utexas dot edu

© Pranav Karve