I completed my PhD from Computer Science Department at University of Minnesota under Dr. Vipin Kumar and Dr. Arindam Banerjee. I received my Bachelor of Technology (B. Tech.) degree in Computer Science and Engineering from Indian Institute of Technology (IIT), Madras, India in 2002.

I currently work at Oak Ridge National Laboratory (ORNL) as a post-doctoral research associate in the Geographic Information Science and Technology (GIST) group, under the Computational Sciences and Engineering Division (CSED). My new webpage is available here.

I research in the field of data mining, machine learning, and applied algorithms, with emphasis on critical event (e.g. anomalies) detection and characterization, sequence and time-series modeling, similarity measures, and summarization applied across diverse real domains. A copy of my PhD dissertation can be found here. My research finds success in cyber-intrusion detection, aircraft health management (detecting faults during an aircraft operation), climatology, tax fraud detection, and click fraud detection. For more visit my research page. My resume is available here [pdf, ps].

I plan to design, develop, and deploy data mining solutions in other application domains, such as fault detection in operational systems, counter-terrorism, detecting ecosystem disturbances, and abnormalities in physiological data. I recently published a comprehensive survey on anomaly detection in ACM Computing Surveys.

I also maintain a repository of benchmark data sets which can be used to evaluate anomaly detection algorithms for discrete sequence databases and time series databases. I have also written a C++ package consisting of different anomaly detection techniques for sequences. More details are available here.