The School of Modeling, Simulation, and Training Welcomes New Digital Twin Faculty Members

Earned her Ph.D. in Electrical and Computer Engineering from the National University of Singapore. Dr. Li’s research focuses on data-driven photovoltaics, including the development of digital twins for photovoltaic and energy storage systems and the analysis of photovoltaic durability and reliability.

Earned his Ph.D. in Mechanical Engineering at Purdue, specializing in Computational Science and Engineering, focusing on high-performance computing models for bio-fuel combustion prediction using artificial intelligence. Dr. Hasti has extensive experience in academia and industry, including work at the Indian Space Research Organization and Honeywell, where he contributed to significant advancements in propulsion and energy systems. His research focuses on developing adaptive digital twins and AI-driven tools for real-time simulation of energy and propulsion systems, utilizing scientific foundation models, multimodal learning, and real-time data integration to advance sustainable, resilient, and low-emission technologies.

Earned his Ph.D. in Industrial Engineering from Clemson University, where his research focused on health systems modeling and the application of stochastic modeling and data analytics in healthcare settings. Dr. Prabhu has significant experience in the healthcare sector, having worked as an Operations Research Intern at Stanford Medicine-Health Care and as a Graduate Research Assistant at PRISMA Health and Clemson University.