Department of Engineering Management, Information, and Systems

Harsha Gangammanavar

Assistant Professor

Ph.D., Ohio State University; M.S., Ohio State University; B.E. Visvesvaraya Technological University


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Methodologies: Multistage stochastic programming, large scale data-driven optimization, approximate dynamic programming.
Applications: Renewable energy integration in power systems, communication networks, health care logistics.



1. H. Gangammanavar, S. Sen and V. M. Zavala, Stochastic Optimization of Sub- Hourly Economic Dispatch With Wind Energy, in IEEE Transactions on Power Systems, 31(2), 949-959, March 2016.
2. R. Li, H. Gangammanavar and A. Eryilmaz, Optimal Dynamic Coding and Rate- Control for Serving Deadline-Constrained Traffic over Time-Varying Channels, in IEEE Transactions on Information Theory, 58(10):6556-6571, 2012.