Krishnamurthy IyerAssociate Professor, Industrial and Systems Engineering
Minneapolis, MN 55455
Krishnamurthy Iyer received his PhD from the Department of Management Science and Engineering at Stanford University in 2012, and his B.Tech and M.Tech (dual degree) in Mechanical Engineering at the Indian Institute of Technology, Bombay in 2006. He spent a year as a Postdoctoral Researcher at the Computer and Information Science Department in the University of Pennsylvania. His research interests include game theory and stochastic modeling with applications in the design and analysis of online markets and service systems.
Before joining the faculty of University of Minnesota ISyE, Krishnamurthy was an assistant professor in the School of Operations Research and Information Engineering at Cornell University.
More information can be found on Prof. Iyer's personal website.
His research interests include game theory and stochastic modeling with applications in the design and analysis of online markets and service systems. His current research focuses on studying optimal mechanisms for information sharing in service systems and platform markets.
- First Place, INFORMS Junior Faculty Interest Group (JFIG) Paper Competition, 2017
- Ralph S. Watts ’72 Excellence in Teaching Award, College of Engineering, Cornell University, 2017
- Dantzig-Lieberman Fellowship (Stanford University) 2011
- Stanford Graduate Fellowship (Office of Technology Licensing Fellow) 2006
- Institute Gold Medal (IIT Bombay) 2006
- Institute Silver Medal (IIT Bombay) 2006
- D. Lingenbrink and K. Iyer, Optimal Signaling Mechanisms in Unobservable Queues, Operations Research 2019, 67:5, 1397--1416. [doi],
- P. Yang, K. Iyer, and P. Frazier, Mean Field Equilibria for Resource Competition in Spatial Settings, Stochastic Systems 2018, 8:4, 265--337. [doi],
- K. Iyer, R. Johari, and M. Sundararajan, Mean Field Equilibria of Dynamic Auctions with Learning, Management Science 2014, 60:12, 2949--2970. [doi],
- K. Iyer, R. Johari, and C. C. Moallemi, Information Aggregation and Allocative Efficiency in Smooth Markets, Management Science 2014, 60:10, 2509--2524. [doi]