Computer Science Department
Viterbi School of Engineering
University of Southern California
(notice that email@example.com is NOT me)
Office: PHE 336
I have been an assistant professor in the Computer Science Department, of the Viterbi School of Engineering at USC since August 2010. Before that, I was a research staff member in the Data Analytics Group at the IBM T.J. Watson Research Center since November 2006. I received my M.S. and Ph.D. from Carnegie Mellon University. My research interests include machine learning and data mining with applications to biology, climate science, health, and social media. Here is my CV .
I am co-organizing the KDD workshop on Mining and Learning from Large Scale Time Series Data.
I will give a tutorial at KDD 2015 on "Social Media Anomaly Detection" .
I am co-chairing the 4th International Climate Informatics Workshop. Find more information at here .
Congratulations to the Melady team for a productive year (including 3 ICML papers, 1 KDD paper, 1 COLT paper, 1 AISTAT paper in 2015). Check out the details at here .
Facebook Faculty Award, 2015
IBM Faculty Award, 2015
Okawa Foundation Research Award, 2013 (details)
NSF CAREER Award, 2013 (details)
Yahoo! Faculty Award, 2011 (details)
James H. Zumberge Research and Innovation Fund Individual Award, 2011
ACM Dissertation Award Honorable Mention, 2007 (details). Here I am at the award banquet.
Best Paper Award, SIAM Conference on Data Mining, 2007 (SDM 2007)
Winner of several data mining competitions:
Team lead, winning team, Netflix Movie Rating Prediction, KDD Cup 2007
Team member, winning team, Fast Scoring on a Large Marketing Database KDD Cup 2009
Early Detection of Breast Cancer, KDD Cup 2008
INFORMS Data Mining Competition 2008
Machine learning for automatically quantifying patent quality (for technical details, see KDD 2011 paper)
Prospective MS students: please do not contact me because I am not involved with the MS admission process.
Prospective PhD students: if you are interested in working with me, please include my name in your application.
Current MS students: if you interested in working with me, take one of my classes and perform well!