Abhijit Gosavi

Abhijit Gosavi is an Associate Professor in the Department of Engineering Management & Systems Engineering at Missouri University of Science and Technology. His research focuses on simulation-based optimization, Markov Decision Processes, and reinforcement learning, with applications in disaster response, maintenance scheduling, and supply chain management. He has been funded by the National Science Foundation (NSF), Department of Defense, and industry partners. Dr. Gosavi teaches courses on discrete-event simulation, MDPs, product management, and facilities design.

Education: Ph.D. in Industrial Engineering from University of South Florida (1999), M.Tech in Mechanical Engineering from Indian Institute of Technology Madras (1995), and B.E. in Mechanical Engineering from Jadavpur University (1992). His research interests span machine learning, data analytics, and systems engineering.

Key research contributions include developing simulation-based models for post-earthquake response strategies, digital twins for production line maintenance, and reinforcement learning algorithms for inventory control. His work has been published in journals like Natural Hazards Review, Annals of Operations Research, and International Journal of Production Economics.

Funding highlights include an NSF grant for reducing pollution through AI-driven maintenance strategies. He collaborates with researchers in disaster management, cyber-physical systems, and healthcare policy analysis.

Labs/Teams: Investigator at the Intelligent Systems Center, focusing on advanced computational methods for systems engineering and optimization.