Aarti Singh

Assistant Professor

Machine Learning Department
Carnegie Mellon University

Office: 8207 Gates-Hillman Center
            Machine Learning Department
            Carnegie Mellon University
            5000 Forbes Avenue
            Pittsburgh, PA 15213

Ph: (412) 268-4266 (O)

Email: aartisingh(AT)cmu.edu

RESEARCH: The nature of information processing has evolved dramatically over the years as we try to explore increasingly complex and diverse systems ranging from the Internet and wireless networks, to the human brain and genome. I am interested in developing techniques at the intersection of statistical machine learning and signal processing that can adaptively learn and exploit the low-dimensional information structure inherent in high-dimensional systems for efficient inference. The primary thrust of my research is on bridging the gap between theoretically optimal and practically useful methods with applications that include wireless and sensor networks, internet data analysis and bioinformatics.

Current Projects:
  • Resource-constrained data collection and fusion for identifying weak distributed patterns in networks (Sponsored by AFOSR)
  • Spectral Methods for Active Clustering and Bi-Clustering (Sponsored by NSF)
  • Using Non-Local Connectivity Information to Identify Nascent Disease Outbreaks (Sponsored by NIH MIDAS National Center of Excellence at University of Pittsburgh)
PUBLICATIONS


TEACHING: Spring 2012    10-704 Information Processing and Learning
Fall 2011        10-601 Machine Learning - with Tom Mitchell
Spring 2011    10-702/36-702 Statistical Machine Learning - with Larry Wasserman
Fall 2010        10-701/15-781 Machine Learning
Spring 2010    10-701/15-781 Machine Learning - with Tom Mitchell, Eric Xing
                       10-915 MLD Journal Club - with Geoff Gordon
Fall 2009         MLD Journal Club - with Geoff Gordon
BIO: I received my B.E. in Electronics and Communication Engineering from the University of Delhi in 2001, and M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Wisconsin-Madison in 2003 and 2008, respectively. I was a Postdoctoral Research Associate at the Program in Applied and Computational Mathematics at Princeton University from 2008-2009.

Detailed CV (pdf) - Updated: 01/12/12

STUDENTS: PhD Students:
James Sharpnack
Akshay Krishnamurthy
Martin Azizyan
Aaditya Ramdas (co-advised with Larry Wasserman)

I also work with Sivaraman Balakrishnan, Min Xu and Mladen Kolar.

Undergraduate:
Tongbo Huang

Note: I can only advise students who have been admitted to the School of Computer Science at CMU. If you would like to work with me and have been admitted to CMU, please send me an email with your CV and briefly describe your research interests.

Meetings: