Faculty.ConstantineCaramanis History

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Associate Professor

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Professor

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Dr. Constantine Caramanis is an Associate Professor in the Department of Electrical & Computer Engineering at The University of Texas at Austin.

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Dr. Constantine Caramanis is a Professor in the Department of Electrical & Computer Engineering at The University of Texas at Austin.

April 27, 2015, at 05:51 PM EST by 67.78.74.156 -

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Associate Professor

Electrical and Computer Engineering

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Associate Professor

Electrical and Computer Engineering

April 20, 2015, at 09:28 PM EST by 67.78.74.156 -

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April 20, 2015, at 08:59 PM EST by 67.78.74.156 -

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Constantine Caramanis http://wncg.org/sites/wncg.org/files/styles/faculty_portrait_-_small/public/caramanis_0.jpg

Associate Professor

Electrical and Computer Engineering

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Constantine Caramanis http://wncg.org/sites/wncg.org/files/styles/faculty_portrait_-_small/public/caramanis_0.jpg

Associate Professor

Electrical and Computer Engineering

April 20, 2015, at 08:58 PM EST by 67.78.74.156 -

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Constantine Caramanis

http://wncg.org/sites/wncg.org/files/styles/faculty_portrait_-_small/public/caramanis_0.jpg

Associate Professor

Electrical and Computer Engineering

Dr. Constantine Caramanis is an Associate Professor in the Department of Electrical & Computer Engineering at The University of Texas at Austin.

Dr. Caramanis joined the UT Electrical and Computer Engineering department in the Fall of 2006. He received his A.B. in Mathematics from Harvard University, and his M.S. and Ph.D. in Electrical Engineering and Computer Science from MIT.

His research interests center on decision-making in large-scale complex systems, with a focus on learning and computation. Specifically, he is interested in robust and adaptable optimization, high dimensional statistics and machine learning, and applications to large-scale networks, including social networks, wireless networks, transportation networks, and energy networks. He also works on applications of machine learning and optimization to computer-aided design.

Research Interests:

Decision-making under uncertainty.
Statistical learning, and data driven decision-making.
Large scale networks and computation
Adaptive Control and Optimization.