Students and Postdoctoral Researchers - Stanford University.
Sudeep Kamath's 17 research works with 332 citations and 303 reads, including: The Two-Unicast Problem. We use cookies to make interactions with our website easy and meaningful, to better.
Sudeep Kamath's 4 research works with 79 citations and 125 reads, including: An Operational Approach to Information Leakage.
Thesis: Control and Optimization of Power Systems with Renewables: Voltage Regulation and Generator Dispatch, 2013. Sudeep Kamath (postdoctoral researcher, UCSD). Thesis: Some problems in network information theory, 2013. Former Postdoctoral Researchers: Matthias Grossglauser (Associate Professor, EPFL, Switzerland).
Sudeep Kamath CSOI Alumni While with the Center, Sudeep was a Research Associate from Center for Information Theory and its Applications at Princeton University.
Best Student Paper Award. ICDT 2016 Test of Time Award; Miscellaneous Delay-constrained Unicast and the Triangle-cast Problem (with Sudeep Kamath, Sreeram Kannan and Pramod Viswanath). ISIT 2015. Topology Formation for Wirleless Mesh Network Planning Chun-cheng Chen, Chandra Chekuri, Diego Klabjan. INFOCOM Mini-Conference, 2009.
Generalized Network Sharing Outer Bound and the Two-Unicast Problem by Sudeep U. Kamath Research Project Submitted to the Department of Electrical Engineering and Computer Sciences, University of Cal-ifornia at Berkeley, in partial satisfaction of the requirements for the degree of Master of Science, Plan II.
Sudeep Pasricha is a Walter Scott Jr. College of Engineering Professor in the Department of Electrical and Computer Engineering, the Department of Computer Science, and the Department of Systems Engineering at Colorado State University.He is Director of the E mbedded Systems and High Performance Computing Laboratory and the Chair of Computer Engineering.
Thesis (MIT), 2019 Abstract. In this thesis, we prove new hardness escalation results in computational complexity theory; a phenomenon where hardness results against seemingly weak models of computation for any problem can be lifted, in a black box manner, to much stronger models of computation by considering a simple gadget composed version of the original problem.
Thesis: Channel coding techniques for network communication (the winner of the 2017 IEEE Information Theory Society Thomas M. Cover Dissertation Award) Yu Xiang (PhD, June 2015), University of Utah. Thesis: Interactive schemes in information theory and statistics. Hwan Joon (Eddy) Kwon (PhD, December 2013, co-advised with Bhaskar D. Rao), Qualcomm.
Sudeep Kamath (postdoctoral researcher, UCSD). Thesis: Some problems in network information theory, 2013. Former Postdoctoral Researchers: Matthias Grossglauser (Associate Professor, EPFL, Switzerland) Jamie Evans (Professor, Monash University, Australia) David Starobinsk i (Professor, Boston University).
Assistant. Helen Niu Room 310, Packard Building Electrical Engineering Department 350 Jane Stanford Way Stanford, CA 94305-9515 Tel: (650) 723-8121.
Bio. Dr. Yashavanth “Yash” Kamath has conducted research for the fiber-textile and later the cosmetic (hair and skin) industry, for over 30 years, most of them spent at the Textile Research Institute in Princeton, NJ, where he began as a postdoctoral fellow and worked his way up the ranks, retiring to start his own company after spending eleven years as TRI’s Director of Research.
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The problem of designing near optimal strategies for multiple unicast traffic in wireline networks is wide-open; however, channel symmetry or traffic symmetry can be leveraged to show that routing can achieve with a poly-logarithmic approximation factor of the edge-cut bound.
