Uday V. Shanbhag
About
Uday V. Shanbhag has authored 99 papers that have received a total of 1.8k indexed citations.
This includes 45 papers in Management Science and Operations Research, 37 papers in Artificial Intelligence and 32 papers in Computational Mechanics. The topics of these papers are Stochastic Gradient Optimization Techniques (36 papers), Sparse and Compressive Sensing Techniques (32 papers) and Risk and Portfolio Optimization (30 papers). Uday V. Shanbhag is often cited by papers focused on Stochastic Gradient Optimization Techniques (36 papers), Sparse and Compressive Sensing Techniques (32 papers) and Risk and Portfolio Optimization (30 papers) and collaborates with scholars based in United States, China and India. Uday V. Shanbhag's co-authors include Angelia Nedić, Farzad Yousefian, Sean Meyn, Prashant G. Mehta and Jayash Koshal and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Power Systems.
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