Email : milind [at] stanford [dot] edu
350 Serra Mall, # 340 (Packard), Stanford, CA 94305
Stochastic control and optimization
M Chowdhury, M Rao, Y. Zhao, T. Javidi & A. Goldsmith, “Risk Reduction in Wind Power Delivery with Storage,” submitted to IEEE Transactions on Sustainable Energy, 2015
G. Malysa, M. Hernaez, I. Ochoa, M. Rao, K. Ganesan & T. Weissman, “QVZ: lossy compression of quality values,” to appear in BMC Bioinformatics, 2015
M. Rao, M. Chowdhury, Y. Zhao, T. Javidi & A. Goldsmith, “Value of Storage for Wind Power Producers in Forward Power Markets,” accepted at American Control Conference, 2015
M. Rao, F. J. Lopez-Martinez, M. S. Alouini & A. Goldsmith, “MGF Approach to the Analysis of Generalized Two-Ray Fading Models,” to appear in IEEE Transactions on Wireless Communications, 2015
M. Rao, F. J. Lopez-Martinez, M. S. Alouini & A. Goldsmith, “MGF Approach to the Capacity Analysis of Generalized Two-Ray Fading Models,” accepted at IEEE International Conference on Communications, 2015
M. Rao, F. J. Lopez-martinez & A. Goldsmith, “Statistics and System Performance Metrics for the Two Wave with Diffuse Power Fading Model,” CISS, 2014.
PhD in Electrical Engineering, Stanford University, 2013-
MS in Electrical Engineering, Stanford University, 2013-2015
B. Tech in Electrical Engineering, Indian Institute of Technology Madras, 2009-2013
Wireless Communication, Information Theory, Statistical Signal Processing, Statistical Learning and Graphical Models, Stochastic Control and Reinforcement Learning & Convex Optimization
cvx_fit: From Data to a Convex Model
worked with Alon Kipnis and Mainak Chowdhury on implementing an algorithm that fits a piecewise linear convex function to any input convex function for use in disciplined convex programming
Stability and Hopf Bifurcation Analysis of the Delay Logistic Equation
Worked with Preetish and Prof. Gaurav Raina on characterizing non-linear population dynamics.
Machine Learning Techniques in Non-Linear Receivers for Interference Mitigation
Worked with Prof. Giridhar on using clustering techniques to model interference in cellular communications.