Varun Chandola
Phone: (865) 576-7597
Fax: (865) 241-6261
Email: chandolav@ornl.gov
Home Page: http://www.ornl.gov/~6qz
Resume: http://www.ornl.gov/~6qz/docs/chandola-cv.pdf
Education
PhD, Computer Science, University of Minnesota, 2009
B.Tech., Computer Science, Indian Institute of Technology Madras (IITM), 2002
Research Experience and Interests
Dr. Varun Chandola joined the Geographic Information Science and Technology group at ORNL in October, 2009. His current responsibilities include developing machine learning algorithms for mining massive healthcare data, applying semi-supervised learning methods for high resolution image classification, developing analysis and visualization methodologies for analyzing complex climate data, and applying spatio-temporal data mining and machine learning techniques to detect and analyze unexpected changes in crop growing patterns.
Prior to joining the GIST group, Dr. Chandola was a PhD student at University of Minnesota. His dissertation was titled “Anomaly detection for symbolic sequences and time series data”. In 2009, Dr. Chandola was a visiting researcher at NASA Ames Research Lab, and applied his research to the area of aviation safety. Dr. Chandola also worked at Yahoo Data Mining Research in 2006 and 2007.
Dr. Chandola’s areas of expertise include mining massive data sets, time series data analysis, machine learning, and algorithm development. His research focus is in the area of anomaly detection applied to time series data. He has applied his research, with significant success, to varying application domains, such as healthcare, sustainability, climate, aviation safety, cyber intrusion detection, tax fraud analysis, cardiac health monitoring, and click fraud analysis. He is also an avid programmer, and has co-developed software packages that are currently being used at multiple organizations for data analysis/anomaly detection.
