News

Professor Chandrasekaran Wins INFORMS Optimization Society Prize

10-14-16

Venkat Chandrasekaran, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering, is a winner of the 2016 INFORMS Optimization Society Prize for Young Researchers for his paper Relative Entropy Relaxations for Signomial Optimization. The prize is awarded for an outstanding paper in optimization and serves as a recognition of promising colleagues who are at the beginning of their academic or industrial career. [List of winners]

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Professor Chandrasekaran Named Sloan Research Fellow

02-23-16

Venkat Chandrasekaran, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering, has been named a 2016 Sloan Research Fellow in the field of Mathematics for his research in mathematical optimization. The Sloan Research Fellowships are awarded yearly to researchers in recognition of distinguished performance and a unique potential to make substantial contributions to their field. [Caltech story]

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Professor Chandrasekaran Wins AFOSR Young Investigator Award

02-23-16

Venkat Chandrasekaran, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering, has won a 2016 Air Force Office of Scientific Research (AFOSR) Young Investigator Award. The objectives of this program are: to foster creative basic research in science and engineering, enhance early career development of outstanding young investigators, and increase opportunities for the young investigators to recognize the Air Force mission and the related challenges in science and engineering. Professor Chandrasekaran received the award for his proposal entitled, “Latent Variable Graphical Modeling for High-Dimensional Data Analysis. [AFOSR Press Release]

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Professor Chandrasekaran Receives NSF CAREER Award

01-24-14

Venkat Chandrasekaran, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering, has been awarded the National Science Foundation's (NSF) Faculty Early Career Development (CAREER) Award for his 5-year project, “Computational and Statistical Tradeoffs in Massive Data Analysis”. The CAREER program is NSF's most prestigious awards for junior faculty members. The level and 5-year duration of the awards are designed to enable awardees to develop careers as outstanding teacher-scholars. Awardees are chosen because they exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research within the context of the mission of their organizations.

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Professor Chandrasekaran Receives Okawa Research Grant

12-12-13

Venkat Chandrasekaran, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering, is a recipient of a 2013 Okawa Foundation Research Grant for his research project entitled "Computational and Statistical Tradeoffs in Large-Scale Data Analysis". This grant honors outstanding young researchers working in the fields of information and telecommunications. [Past Recipients]

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Professor Chandrasekaran Receives Young Researcher Prize

09-30-13

Venkat Chandrasekaran, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering, has won the Young Researcher Prize in Continuous Optimization at the Fourth Mathematical Optimization Society International Conference on Continuous Optimization (ICCOPT) for his paper entitled "Rank-sparsity incoherence  for matrix decomposition".

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Caltech Welcomes Professor Chandrasekaran

09-19-12

Venkat Chandrasekaran, Assistant Professor of Computing and Mathematical Sciences, arrived at Caltech in early September 2012. His area of research is mathematical optimization. He describes, "Almost anything we wish to do in engineering design is about maximizing objectives subject to certain constraints—trading off different aspects of a system to optimize a few others. For instance, if you work in jet-engine design, you have certain constraints in the amount of material you can use, the weight of these materials, aerodynamic issues, etc. But then you want to be able to design your wings and so on in such a way that you maximize, for example, how fast you are able to go. My specific focus deals with trying to look at optimization problems that (a) are tractable to solve—not all optimization problems are ones that can be efficiently solved on a computer—and (b) arise in the information sciences." [Caltech Release]

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