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 INTERESTS :	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 signal processing and statistical machine learning that can adaptively exploit the information structure inherent in modern signals 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, but are not limited to, wireless and sensor networks, internet data analysis and bioinformatics.
CURRENT FOCUS :	Network Forensics - Detecting weak, sparse activation patterns in large-scale networks Biomedical Imaging - Level set estimation with applications to fMRI data analysis Semi-supervised and Active Learning in high-dimensions
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.

PUBLICATIONS

CURRICULUM VITAE