Constantine Caramanis

I am an Associate Professor in the ECE department of The University of Texas at Austin. I received a PhD in EECS from The Massachusetts Institute of Technology, in the Laboratory for Information and Decision Systems (LIDS), and an AB in Mathematics from Harvard University. I received the NSF CAREER award in 2011.

My current research interests focus on decision-making in large-scale complex systems. Specifically, I am 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. I also work on applications of machine learning and optimization to computer-aided design.

News and Announcements

NEW COURSE:  Large Scale Optimization and Learning: Sujay Sanghavi and I are co-teaching a two-part course on large-scale optimization and learning, in Fall 2012 / Spring 2013.

Post doc position available: I am looking for a post doc to work on any

one of several exciting topics in the intersection of optimization,

networks, statistics and learning.

Teaching

Spring 2013 -- Large Scale Optimization and Learning Part II: Machine Learning (EE381V)

Fall 2012 -- Large Scale Optimization and Learning Part I: Convex Optimization (EE381V)

Fall 2012 -- Introduction to Feedback Control (EE362K)

Fall 2011 -- Convex Analysis and Optimization (EE381V-11)

Fall 2013 -- Introduction to Linear Systems (EE380K)

Publications

Chronological order -- complete list

Optimization and Applications

Machine Learning, Statistics and Applications

Wireless Networks

Other Engineering Applications

Students

Yudong Chen

Amin Abdel-Khalek (co-advised with Robert Heath)

Greg Freeman (co-advised with Al Bovik)

Dohyung Park (co-advised with Sujay Sanghavi)

Zrinka Puljiz (co-advised with Sanjay Shakkottai)

Qiaoyang Ye (co-advised with Jeff Andrews)

Wang Ye (co-advised with Michael Orshansky)

Xinyang Yi

Post Docs and Visitors

Alumni

Doug Fearing (with C. Barnhart, MIT): Asst Prof., Harvard B. School

Ashish Singh (with Michael Orshansky): Terra Technology

Huan Xu (with D. Morton): Asst Prof., National University of Singapore

Harish Ganapathy: Qualcomm

Aditya Gopalan (with Sanjay Shakkottai): Post doc at The Technion

Sungho Yun: ASSIA inc.

Ken’ichi Kamada -- Visiting Scientist from Yokogawa Co.

Undergraduate Student Projects

RideShare: A senior design project by Yoni Ben-Meshulam, Garrett Cooper, Derrick Huhn, and Patrick Lowry.

Prospective Students

I am always on the lookout for motivated graduate students with a strong mathematical background and interested in theory. I am also looking for students with experience or interest in working with large scale systems -- in particular, large scale data and learning problems, and large-scale optimization.

I am looking for undergraduate students interested in doing senior design projects in the general area of energy and efficiency (including renewable energy and conservation) using tools from Machine Learning, Communications/Wireless, and Algorithms.