Associate Professor
Department of Electrical and Computer Engineering
University of California, San Diego
5604 EBU1
Mailcode 0407
La Jolla, CA 92093-0407
USA
Fax: + 1 858 534-6976
Phone: + 1 858 539-6003
Try "Herd It" (human computation game for music) here.
A short video on Herd It and CALab's music search engine. An even shorter version, by San Diego 6 news.
My research focuses on convex optimization and machine learning with applications in computer music and computer audition. Previously, I have worked on applications in bioinformatics and financial engineering.
I did my Ph.D. in the Department of Electrical Engineering and Computer Science at U. C. Berkeley, working with Professor Laurent El Ghaoui and Professor Michael Jordan, and my undergraduate studies in the Department of Electrical Engineering at the K.U.Leuven in Belgium.
Prospective students: more info under 'Prospective students' on this page.
Bharath Sriperumbudur (Research Associate, Gatsby Computational Neuroscience Unit, University College London)
David Torres (Software Engineer, Vision Robotics)
Douglas Turnbull (Assistant Professor, Ithaca College)
Computer Audition Lab (CAL)
Computational Statistics and Machine Learning Group (COSMAL)
Center for Information Theory and Applications (ITA)
California Institute of Telecommunications and Information Technologies (CALIT2)
Spring '11 : ECE 30 - Introduction to Computer Engineering.
Spring '11 : ECE 273 - Convex Optimization and Applications.
Spring '10 : ECE 30 - Introduction to Computer Engineering.
Spring '10 : ECE 273 - Convex Optimization and Applications.
Spring '09 : ECE 30 - Introduction to Computer Engineering.
Spring '09 : ECE 273 - Convex Optimization and Applications.
Spring '08 : ECE 30 - Introduction to Computer Engineering.
Spring '08 : ECE 273 - Convex Optimization and Applications.
Spring '07 : ECE 30 - Introduction to Computer Engineering.
Fall '06 : ECE 287A - Convex Optimization and Applications.
Spring '06 : ECE 30 - Introduction to Computer Engineering.
Every quarter : ECE 295 - COSMAL - Computational Statistics and Machine Learning Seminar.