Dr Nitin Bakshi's research is in the broad area of Operations and Supply Chain Management. A special focus is on settings with extreme risk, i.e., low probability-high consequence events. From a methodological perspective, his work requires expertise in game theory, optimization, queueing theory, dynamic programming, and simulation techniques.
- B. Tech., Electrical Engineering, Indian Institute of Technology, Bombay
- MS, Management Science, Stanford University
- Ph.D., Operations Management, The Wharton School, University of Pennsylvania. Project: Essays in Disruption Risk Management
Dr Nitin Bakshi focuses his research on the management of disruption risk in operations and supply-chain management, with an emphasis on “low-probability high-consequence” events. Topics he has studied include how to design and manage resilient supply chain networks; operational and communication policies in the face of terrorism risk; structuring incentives for after-sales service of new aircraft engines that incur rare but costly failures; and how to manage reporting of accident precursors to enhance safety in dangerous operations.
His work has been published in top academic journals such as Management Science, Operations Research, Manufacturing and Service Operations Management, and Production and Operations Management.
He holds a B. Tech. in Electrical Engineering from IIT Bombay; an M.S. in Management Science from Stanford University; and a Ph.D. in Applied Economics from the Wharton School, University of Pennsylvania.
Dr Bakshi has previously worked as a manager for Hindustan Unilever Ltd. and as an Algorithm Design Engineer for SmartOps Inc. Before joining the University of Utah he served on the faculty at the London Business School.