Constantine Caramanis
Constantine Caramanis
Brief Biography and Interests
Undergraduates
Office Hours:
Location: ENS 426
Spring 2011: TBA
Some Links:
Some Links:
Assistant Professor
Dept of Electrical and Comp. Engineering
The University of Texas at Austin
Contact Info:
Office: ENS 427
Tel: (512) 471-9269
Mail Code: C0806
e-mail: lastname@x
x = mail.utexas.edu

I am an Assistant 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 A.B. 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 wireless networks, transportation networks, and energy networks. I also work on applications of machine learning and optimization to computer-aided design.
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.
Fall 2012 -- Large Scale Optimization and Learning Part I: Convex Optimization (EE381V)
Fall 2011 -- Convex Analysis and Optimization (EE381V-11)
Spring 2012 -- Introduction to Feedback Control (EE362K)
Fall 2013 -- Introduction to Linear Systems (EE380K)
Publications
Chronological order -- complete list
Machine Learning, Statistics and Applications
Other Engineering Applications
Students
Amin Abdel-Khalek (co-advised with Robert Heath)
Andrew Floren (co-advised with Al Bovik)
Greg Freeman (co-advised with Al Bovik)
Zrinka Puljiz (co-advised with Sanjay Shakkottai)
Qiaoyang Ye (co-advised with Jeff Andrews)
Post Docs and Visitors
Randa Zakhour
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.
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.