Moving to SUNY Buffalo in August. Click here to visit my new webpage.

Varun Chandola, Ph.D.
Research Scientist
Computational Sciences and Engineering Division
Oak Ridge National Laboratory, Oak Ridge, TN

Resume pdfps
Publications dblpgoogle scholar


Research

My research interest is in mining massive and complex data sets for extracting critical knowledge such as anomalies and events. I focus on anomaly detection, knowledge discovery, machine learning, spatio-temporal data analysis, geospatial data visualization and analysis and their applications in Healthcare Fraud Detection, Climate Sciences, Sustainability, National Electric Grid, Cyber Intrusion Detection, and National Security.

Here is a list of my publications. For a detailed resume, click here.

I was a part of the Minnesota Intrusion Detection System (MINDS) team which was featured in an NSF press release here.

I am the lead architect of iGlobe, a visualization and analysis tool based on NASA worldwind. Source code at https://worldwind23.arc.nasa.gov/iglobe/. Click here for more details. iGlobe was featured in a recent NASA Tech Brief.



Latest

I have been invited to give a talk in the "Big Data" session at ASPRS Annual Meeting in March 2013 in Baltimore, MD.

I am co-organizing the Second International Workshop on Analysis for Cyber-Physical Systems to be held on May 6th (tentative), in conjunction with the SIAM International Conference on Data Mining. Click here for more information.

My ACM CSUR survey on Anomaly Detection is number 4 on most cited data mining papers in last 5 years. (Microsoft Academic Search)

An article that I co-authored on virtualization of the electric grid recently appeared in the IEEE Smart Grid newsletter.


Contact
  • Email: chandolav at ornl dot gov
  • Phone: (865) 576-6192 (office),(865) 241-6261 (fax)
  • Address: 1 Bethel Valley Road Oak Ridge, TN 37830