Venkat Chandrasekaran
Venkat Chandrasekaran
Professor
Computing and Mathematical Sciences & Electrical Engineering
California Institute of Technology
Email: alpha@beta.edu, alpha = venkatc, beta = caltech
Office: Annenberg 300
Research Interests
My research interests broadly lie in mathematical optimization and its interface with topics in the information sciences. Specific areas of interest include convex optimization, mathematical signal processing, graphs and combinatorial optimization, applied algebraic geometry, computational harmonic analysis, and statistical inference.
A full list of publications can be found here.
Research Group
Current members
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Eray Atay (Ph.D. student)
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Catherine Babecki (Taussky-Todd instructor)
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Oscar Leong (Von Karman instructor; joining the Department of Statistics, UCLA in Summer 2024 as an Assistant Professor)
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Eitan Levin (Ph.D. student)
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Elvira Moreno (Ph.D. student)
Alumni
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Eliza O'Reilly (Postdoc, 2019-23); Assistant Professor, Department of Applied Mathematics and Statistics, Johns Hopkins University
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Mateo Diaz (Postdoc, 2021-23); Assistant Professor, Department of Applied Mathematics and Statistics, Johns Hopkins University
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Riley Murray (Ph.D. 2021); Staff Scientist, Sandia National Laboratory
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Armeen Taeb (Ph.D. 2019); Assistant Professor, Department of Statistics, University of Washington
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Utkan Candogan (Ph.D. 2019); Applied Scientist, Uber
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Yong Sheng Soh (Ph.D. 2018); Assistant Professor, Department of Mathematics, National University of Singapore
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Quentin Berthet (Postdoc, 2014-15); Research Scientist, Google
Teaching
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Mathematical Optimization [Winter 2014, Fall 2014-2023]
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Mathematics of Electrical Engineering [Fall 2020, 2022]
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Great Ideas in Data Science [Fall 2023]
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Topics in Optimization [Spring 2013, Spring 2016, Fall 2019]
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Statistical Inference [Spring 2014, Winter 2015, Spring 2017, Fall 2018]
Bio (third-person)
Venkat Chandrasekaran is a Professor at Caltech in Computing and Mathematical Sciences and in Electrical Engineering. He received a Ph.D. in Electrical Engineering and Computer Science from MIT (2011), and he received undergraduate degrees in Mathematics and in Electrical and Computer Engineering from Rice University (2005). He was awarded the Jin-Au Kong Dissertation Prize for the best doctoral thesis in Electrical Engineering at MIT (2012), the Young Researcher Prize in Continuous Optimization (2013), the Sloan Research Fellowship in Mathematics (2016), and the INFORMS Optimization Society Prize for Young Researchers (2016). His research interests lie in mathematical optimization and its interface with topics in the information sciences.
Contact
Mail: 1200 E. California Blvd., Mail Code 305-16, Pasadena, CA 91125
Phone: (626) 395-6568
Last updated: December 2023