PhD, Civil & Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA (2002).
MS, Civil Engineering, University of Toledo, Toledo, OH (1997).
BTech, (Honors) Civil Engineering, Indian Institute of Technology, Kharagpur, India (1993).
Research Experience and Interests
Auroop R. Ganguly is a Senior R&D Staff at the Oak Ridge National Laboratory (ORNL), where he has been employed for more than five years. His primary research interests are in climate extremes and climate change uncertainties, as well as climate impacts on the water sector. In addition, he is interested in knowledge discovery from data, broadly construed to include nonlinear dynamics, applied time series and spatial statistics, spatio-temporal data mining, econometrics, and operations research. He has published more than fifty peer-reviewed and more than hundred articles in multidisciplinary journals ranging from PNAS and Physical Review to domain journals in water resources, hydrometeorology, transportation, and operations research, as well as peer-reviewed conferences and book chapters in computer and computational science. He has published an edited book entitled Knowledge Discovery from Sensor Data by CRC Press, co-organized multiple ACM and IEEE workshops on sensor-based knowledge discovery and climate change, as well as sessions on nonlinear dynamics and climate impacts at AGU and AMS meetings. His research has been funded by US federal agencies like DOE, DHS, DOD / DARPA, ORNL strategic funds, as well as the private sector. He led the ORNL team which provided science support for a climate change war game, subsequently reported in the journal Nature, as well as led the ORNL science team which provided climate support for the US DOD’s 2010 Quadrennial Defense Review. He has received two significant event awards from ORNL for a DARPA-funded project on evaluation of complex models and for the climate change war game. He is a member of the invited reader panel for the journal Nature and an Associate Editor for the Journal of Computing in Civil Engineering. He is an adjunct professor at the University of Tennessee at Knoxville with their Civil and Environmental Engineering and their Information and Industrial Engineering departments. He was a visiting faculty at the University of South Florida for about a year. He has taught graduate courses in hydrologic models, applied time series and spatial statistics, as well knowledge discovery from data. He has advised PhD students as supervisor and co-supervisor, in addition to post-masters and post-doctoral associates, as well as undergraduate and high-school students. His students have won two best student or runner-up paper awards and one best doctoral poster award. He has received two Outstanding Mentor awards from US DOE and ORNL, as well as two certificates of appreciation for mentorship. He has been invited to multiple NSF panels and workshops as well as DOE and DHS workshops. He has about five years experience at Oracle Corporation and a best-of-breed company eventually acquired by Oracle, where he developed time series and forecasting algorithms besides managing analytical products for demand planning, marketing, and supply chain. He has a PhD in hydrology from the Civil and Environmental Engineering department of the Massachusetts Institute of Technology, an MS in Civil Engineering (environmental) from the University of Toledo, and a Bachelor of Technology (Honors) in Civil Engineering from the Indian Institute of Technology at Kharagpur.
2004 – Present, Scientist, Oak Ridge National Laboratory, Oak Ridge, TN
2006 – Present, Adjunct Professor, University of Tennessee, Knoxville, TN
2004 – 2007, Courtesy Assistant Professor, University of South Florida, Tampa, FL
2003 – 2004, Visiting Faculty, University of South Florida, Tampa, FL
2003 – 2003, Sr. Product Manager, Analytics & Strategy, Demantra, Waltham, MA
1998 – 2003, Oracle Corporation (1999 – 2003: Product Manager, Demand Planning, Burlington, MA
1998 – 1999, Time Series Software Developer, Nashua, NH)
Ganguly, A.R., Steinhaeuser, K., Erickson, D.J., Branstetter, M., Parish, E.S., Singh, N., Drake. J.B. and L. Buja (2009): Higher trends but larger uncertainty and geographic variability in 21st century temperature and heat waves. Proceedings of the National Academy of Sciences of the United States of America, 106(37): 15555-15559.
Omitaomu, O.A., Ganguly, A.R., Patton, B.W., and V.A. Protopopescu (2009): Anomaly detection in radiation sensor data with application to transportation security, IEEE Transactions on Intelligent Transportation Systems, 10(2): 324-334.
Kuhn, G., Khan, S., Ganguly, A.R., M. Branstetter (2007): Geospatial-temporal dependence among weekly precipitation extremes with applications to observations and climate model simulations in South America, Advances in Water Resources, 30(12): 2401-23.
Khan, S., S. Bandyopadhyay, A. R. Ganguly, S. Saigal, D. J. Erickson, III, V. Protopopescu, and G. Ostrouchov (2007): Relative performance of mutual information estimation methods for quantifying the dependence among short and noisy data, Physical Review E, 026209.
Khan, S., Ganguly, A.R., and Saigal, S. (2005): Detection and predictive modeling of chaos in finite hydrological time series. Nonlinear Processes in Geophysics, 12: 41-53.