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Latest news:

Nov 1, 2013:

We are organizing a workshop on Optimization Methods for Anomaly Detection at SDM 2014.

Oct 1, 2013:

Our paper "Discovering Anomalous Aviation Safety Events using Scalable Data Mining Algorithms" got accepted for publication in the Journal of Aerospace Information Systems.

Jun 14, 2013:

Our paper "Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines" got accepted for publication at ECML-PKDD 2013.

Jan 20, 2013:

Our paper "Sparse Inverse-Kernel Gaussian Process Regression" got accepted for publication in the Statistical Analysis and Data Mining journal.

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I am currently Associate Scientist at UARC, University of California Santa Cruz working in the Data Sciences group at NASA Ames Research Center, California. Most of my current research effort is directed towards developing large scale data mining and machine learning algorithms to solve problems in the earth sciences, aviation safety, and social network analysis.

I graduated with a PhD in Computer Science from University of Maryland Baltimore County in 2009. My PhD research, guided by Dr. Hillol Kargupta, focused on developing a game-theoretic framework for privacy preserving distributed data mining.

My research interests include