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.
Auroop R. Ganguly directs the Sustainability & Data Sciences Laboratory (SDS Lab) at Northeastern University, where his research encompasses weather extremes, water sustainability and marine or urban ecology under climate change as well as the resilience of critical infrastructures and lifelines under natural or man-made hazards. He has developed and adapted computational solutions, especially in so-called "Big Data", to solve problems in sustainability, security and business. His research in climate, hydrology and ecology has been accepted and published in interdisciplinary journals such as Nature, Nature Climate Change, PNAS, Scientific Reports, as well as the top disciplinary journals in hydrology, geophysics, and climate, and highlighted by scientific venues and by the national and international media. He has published and received best papers awards in top peer-reviewed computer science conferences or journals in the area of data mining and machine learning, as well as network sciences. In addition, he has published in information technology and sciences, with a particular focus on business intelligence and the supply chain. He has edited books on Knowledge Discovery from Sensor Data and has contributed to editorial, committee and workshop organizational service in civil engineering, geophysics, meteorology, operational research, electrical engineering and computer science societies. He has collaborated and published with a wide set of interdisciplinary researchers including in atmospheric and marine sciences, computer and network sciences, statistics, management sciences as well as law, economics and policy. Prior to joining Northeastern University in Fall 2011, he had 7 years experience at the US DOE's Oak Ridge National Laboratory, most recently as a Senior Scientist, in their Computational Sciences and Engineering division and the Climate Change Science Initiative in areas such as climate change, weather extremes, hydrology, geographic information science, critical infrastructures risk, sensor data mining, transportation and homeland security and defense. He was employed in product development and senior product management roles for about 5 years at Oracle Corporation in their time series database group and then in their supply chain e-business applications suite, followed by about a year at a startup, which in turn was subsequently acquired by Oracle Corporation. Ganguly has taught undergraduate courses in probability, engineering economy and climate change science and policy, in addition to graduate courses in applied time series and spatial statistics, critical infrastructures resilience and water resources, across three universities, namely, Northeastern University as a full time faculty, as well as Tennessee Knoxville and South Florida in joint faculty or visiting faculty roles, over the last 12 years. He has received multi-year and multi-million dollar funding from NSF as PI and Co-PI in areas such as data-driven climate change, Big Data and climate impacts on marine ecology, as well as from the US DOE including ARPA-E, DOD including DARPA, DHS, NRC and other private donors and public sectors in areas such as water resources, water energy nexus, national security, emergency management and behavior modeling. He has a visiting faculty affiliation with IIT-Bombay in India where he is a Co-PI in a Indian government funded project on sensor-based early warning for coastal and urban flooding. Ganguly obtained a PhD from MIT in Civil and Environmental Engineering, during which time he worked with a group at the MIT Sloan School of Management, an MS from Toledo, and a B.Tech. (Hons.) from the Indian Institute of Technology at Kharagpur. His hobbies include ancient history, science fiction and comparative religion, and most recently, taking undergraduate students for a summer "Dialogue" program abroad to study climate change science and policy.
Research & Scholarship Interests
Department Research Areas
College Research Initiatives
Honors & Awards
Graduate Courses Taught:
1. Applied Time Series & Spatial Statistics
2. Critical Infrastructures Resilience
3. Hydrologic Models
Undergraduate Courses Taught:
1. Probability & Engineering Economy for Civil Engineers
2. Climate Hazards & Resilient Cities or Coastlines
3. Climate Adaptation & Policy
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.