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Faculty Profile


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.


  • 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

Research & Scholarship Interests

Climate Extremes & Water Sustainability; Data Sciences for Complex Systems
Affiliated With

Department Research Areas

College Research Initiatives

Honors & Awards

  • COE Faculty Fellow, 2015
  • 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

Teaching Interests

Graduate Courses Taught:

  • Applied Time Series & Spatial Statistics
  • Critical Infrastructures Resilience
  • Hydrologic Models

Undergraduate Courses Taught:

  • Probability & Engineering Economy for Civil Engineers
  • Climate Hazards & Resilient Cities or Coastlines
  • Climate Adaptation & Policy

Professional Affiliations

  • Associate Editor, Water Resources Research, American Geophysical Union
  • Artificial Intelligence Committee, American Meteorological Society
  • Associate Editor, Journal of Computing in Civil Engineering, American Society of Civil Engineers
  • Association for Computing Machinery
  • Institute of Electrical and Electronics Engineers
  • Editorial Board Member, Scientific Reports, Nature Publishing Group

NSF News & Highlights

Selected Publications

  • D. Wang, T.C. Gouhier, B.A. Menge, A.R. Ganguly. "Intensification and spatial homogenization of coastal upwelling under climate change", Nature 518, 390-394, 2015
  • U. Bhatia, D. Kumar, E. Kodra, and A.R. Ganguly. "Network Science Based Quantification of Resilience Demonstrated on the Indian Railways Network", PLoS ONE 10(11): e0141890, 2015.
  • A.R. Ganguly, D. Kumar, P. Ganguli, G. Short, G. and J. Klausner. "Climate Adaptation Informatics: Water Stress on Power Production", Computing in Science & Engineering, 17(6), 53-60, 2015.
  • 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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Related News

May 15, 2017

CEE PhD student Babak Jalalzadeh Fard won first place at the American Geophysical Union’s 2017 spring Virtual Poster Showcase (VPS) for his research poster titled “Effective Mitigation and Adaptation Strategies for Public Health Impacts of Heatwaves for Brookline, MA.”

March 23, 2017

CEE Associate Professor Auroop Ganguly secured a BAERI grant from NASA to developing machine learning approaches for the earth sciences, improving satellite and earth systems data through advances in estimation, forecasting and modeling of the earth and its climate.

March 23, 2017

21 COE faculty and affiliates were recipients of FY18 TIER 1 Interdisciplinary Research Seed Grants for 12 different projects representing $600K dollars of investment in research.