The Ministry of Earth Sciences of the Government of India has funded a project entitled "Near-real-time flood forecasting system" which will develop new physically-based and data-driven models for coastal and urban flood forecasting and early warning, with a primary case study in the city of Mumbai, India.
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- Ph.D., Civil & Environmental Engineering, Massachusetts Institute of Technology, 2002
- M.S., Civil Engineering, University of Toledo, 1997
- B.Tech., Civil Engineering, Indian Institute of Technology, Kharagpur, India, 1993
- Best Student Paper Award, SIAM Data Mining, 2012
- Outstanding Joint Faculty Award, U. Tennessee, 2011
- Best Student Paper Award, NASA CIDU, 2011
- Best Doctoral Poster Award (for PhD student), SIAM Data Mining, 2010
- Outstanding Mentor Award, US Department of Energy, 2008 and 2006
- Associate Editor, Water Resources Research, American Geophysical Union
- Associate Editor, Journal of Computing in Civil Engineering, American Society of Civil Engineers
- Artificial Intelligence Committee, American Meteorological Society
- Institute of Electrical and Electronics Engineers
- Association for Computing Machinery
- E. Kodra, E., A.R. Ganguly. "Asymmetry of projected increases in extreme temperature distributions", Scientific Reports 4, 5884, 2014, Nature Publishing Group.
- A.R. Ganguly, E.A. Kodra, A. Agrawal, A. Banerjee, S. Boriah, Sn. Chatterjee, So. Chatterjee, A. Choudhary, D. Das, J. Faghmous, P. Ganguli, S. Ghosh, K. Hayhoe, C. Hays, W. Hendrix, Q. Fu, J. Kawale, D. Kumar, V. Kumar, W. Liao, S. Liess, R. Mawalagedara, V. Mithal, R. Oglesby, K. Salvi, P. K. Snyder, K. Steinhaeuser, D. Wang, and D. Wuebbles. "Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques", Nonlinear Processes in Geophysics, 21, 2014, 777-795.
- E. Kodra, E., K.S. Steinhaeuser, and A.R. Ganguly. "Persisting cold spells in the 21st-century warming environment," Geophysical Research Letters, 38, L08705, 2011, 5 pp. Highlight: "Climate change: Cold spells in a warm world", Nature, 472, 2011, 139.
- S. Ghosh, D. Das, S.-C. Kao, A.R. Ganguly. "Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes", Nature Climate Change, 2, 2, 2012, 86-91.
- A.R. Ganguly, K. Steinhaeuser, D.J. Erickson, M. Branstetter, E.S. Parish, N. Singh, J.B. Drake, L. Buja. "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, 2009, 15555-15559.
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Honors & Awards
Congratulations to CEE Associate Professor Auroop Ganguly who has been awarded a $350,000 NSF Big Data Science & Engineering research grant for his collaborative research project, “ High-Dimensional Statistical Machine Learning for Spatio-Temporal Climate Data .”
CIV Associate Professor Auroop Ganguly used Big Data tools to determine that global warming will result in both hot and cold extreme temperature fluctuation.