Auroop R. Ganguly
Civil and Environmental Engineering
Director, Sustainability & Data Sciences Laboratory (SDS Lab)
Professor (by courtesy), Khoury College of Computer Sciences
Professor (by courtesy), Marine and Environmental Science
Professor (by courtesy), Political Science
Professor (by courtesy), School of Public Policy and Urban Affairs
- 360 Huntington Ave
Boston, Massachusetts 02115
- Room 2225, 177 Huntington Avenue
- 009-D Forsyth Building
Water & Climate Science, Data & Network Science, and Infrastructure Resilience
Auroop R. Ganguly is a hydrologist and a civil engineer, and currently a Professor of Civil and Environmental Engineering (CEE) at Northeastern University (NU) in Boston, MA, USA, where he is the Director of the Sustainability and Data Sciences Laboratory (SDS Lab). He is also Professor by courtesy of multiple NU departments and colleges, specifically, Khoury College of Computer Sciences, Marine and Environmental Sciences, Political Science, and Public Policy and Urban Affairs, as well as a Visiting International Professor of Computer Science and Environmental Science at the Indian Institute of Technology (IIT) Kharagpur. He is a member of the United Nations Environmental Program review panel and the lead author of the Artificial Intelligence (AI) section of the upcoming Sustained National Climate Assessment of the United States. He is the Chief Specialty Editor for water and built environment of the upcoming Frontiers in Water journal and serves on the editorial board of the journal PLOS ONE and Scientific Reports published by Nature, as well as the American Society of Civil Engineers (ASCE) Journal of Computing in Civil Engineering. He has previously served as an Associate Editor of the American Geophysical Union (AGU) journal Water Resources Research, and on the AI committee of the American Meteorological Union (AMS), besides having served as a co-chair of the Societal Dimensions Working Group at the National Center for Atmospheric Research (NCAR). Ganguly has published in top interdisciplinary journals such as Nature, Proceedings of the National Academy of Sciences (PNAS), and Nature Climate Change, among others, and in highly regarded disciplinary journals in areas such as hydrometeorology and hydroclimate, climate and weather extremes, resilience of lifeline infrastructures, data mining and machine learning, as well as nonlinear physics. He has published a textbook on Critical Infrastructures Resilience by Taylor and Francis and other edited books on Knowledge Discovery from Sensor Data by CRC Press and LNCS. His research has been published in top computer, data science and AI venues, such as highly selective peer reviewed conferences including SIAM Data Mining (SDM) and ACM Knowledge Discovery and Data mining (KDD), where he has won multiple best paper awards. Ganguly’s research has been cited in United Nations and US assessment reports, highlighted in commentaries in scientific venues such as Nature, PNAS, NASA Tech Briefs, R&D Magazine, US Department of Energy (DOE), and National Science Foundation (NSF) news, while he and his work have been quoted by the news media in the US and across the globe. His former doctoral students and postgraduates are or have been in leadership positions in the private industry (e.g., in risk and hazards modeling, and machine learning), received prestigious international fellowships, employed as scientists in the US National Laboratory system and in government agencies such as NASA, and in faculty positions at US and international universities. Ganguly is the co-founder and chief scientific adviser at the NSF-funded startup risQ, where his former PhD student is the CEO and co-founder. In addition to teaching graduate and undergraduate courses in climate, water, applied data science, and critical infrastructures, Ganguly has been leading a study abroad undergraduate program on climate change science, engineering and policy across different regions of the world. He has 20+ years of professional experience spanning academia, private industry including startups, and government research laboratory, including Oak Ridge National Laboratory (ORNL), Oracle Corporation, and a best-of-breed company acquired by Oracle, besides joint, adjunct or visiting faculty positions at the University of Tennessee, Knoxville, the University of South Florida, and the Indian Institute of Technology (IIT) Bombay. His experience in the private sector has included time series software development and analytics for the demand-driven supply chains, while his research at the Oak Ridge National Laboratory has touched upon climate extremes and homeland security, as well as computational and data sciences. He has brought in about $20M of research funding in his career from sources such NSF, NASA, US DOE, US Department of Defense (DOD) and other sources and won multiple mentorship and outstanding faculty or faculty fellow awards. Ganguly has a PhD from the Massachusetts Institute of Technology (MIT) in Civil and Environmental Engineering, an MS in Civil Engineering from the University of Toledo, Ohio, and a B. Tech. (Hons.) from the Indian Institute of Technology (IIT) Kharagpur in Civil Engineering.
- Ph.D., Civil & Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, 2002
- M.S., Civil Engineering, University of Toledo, Toledo, OH, 1997
- B.Tech., Civil Engineering, Indian Institute of Technology, Kharagpur, India, 1993
Appointments: Industry & Government
- Co-Founder and Chief Scientific Adviser, risQ Corp., Cambridge, MA, 2016-Now
- Senior Scientist, Oak Ridge National Laboratory, Oak Ridge, TN, 2004-2011
- Co-Founder & Chief Technology Officer, AnalyticsSmart Inc., Tampa, FL, 2003-2004
- Senior Product Manager, Demantra Inc., (Acquired by Oracle) Waltham, MA, 2003
- Product Manager of Demand Planning, Burlington, MA, and Time Series Software Developer, Nashua, NH, Oracle Corporation, 1998-2003
- Professor, Northeastern University, Boston, MA, 2011-Now
- Joint Faculty (with ORNL), University of Tennessee, Knoxville, 2006-2011
- Visiting Faculty, University of South Florida, Tampa, FL, 2003-2004
Honors & Awards
- Our award-winning ACM KDD 2017 paper featured in a news story in the journal Nature
- Two of our papers (one in Climate Dynamics and the other in Nature) have been cited in the Fourth National Climate Assessment (US NCA4), Vol. 1, United States GlobalChange.gov, 2017
- Our article in Journal of Climate featured in a news story in the journal Nature
- KDD 2017 (ACM SIGKDD Knowledge Discovery and Data mining Conference): Runner-Up Best Paper Award; Runner-Up Best Student Paper Award (for PhD student) and KDD Travel Award (for PhD student), 2017
- American Geophysical Union Virtual Poster Pesentation First Prize (for PhD student), 2017
- Co-Chair, Societal Dimensions Working Group, Community Earth System Model, National Center for Atmospheric Research
- Editorial Board Member, Scientific Reports, Nature Publishing Group
- Reviewer for the National Academies report: From Maps to Models: Augmenting the Nation’s Geospatial Intelligence Capabilities.
- Associate Editor, ASCE Journal of Computing in Civil Engineering
- Artificial Intelligence Committee (Elected Member), American Meteorological Society
- Award Winning Paper (for PhD student), International Conference on Sustainable Infrastructures, US National Academy of Engineering and Chinese Academy of Engineering, Shenzhen, China, 2016
- COE Faculty Fellow, 2015
- Commentary in the journal Nature about our paper in Nature, 2015.
- (Past) Associate Editor, AGU Water Resources Research, 2012-2015.
- Two of our papers (one in Geophysical Research Letters and the other in Journal of Geophysical Letters) have been cited by the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5), United Nations, 2014.
- Best Student Paper Award, SIAM Data Mining, 2012
- Outstanding Joint Faculty Award, U. Tennessee, 2011
- Our paper in Geophysical Lesearch Letters featured as a news story in the journal Nature, 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
- CIVE 3464 (Undergraduate): Probability and Engineering Economy for Engineers (Spring, Fall)
- CIVE 5699 (Undergraduate/Graduate): Climate Science, Engineering Adaptation, and Policy (Spring)
- CIVE 7100 (Graduate): Applied Time Series and Spatial Statistics (Spring)
- CIVE 7100 (Graduate): Critical Infrastructure Resilience (Fall)
- CIVE 4777 & CIVE 4778 (Dialogue of Civilizations / Undergraduate): Climate Change Science and Policy (Summer)
- American Geophysical Union (AGU)
- American Meteorological Society (AMS)
- Institute of Electrical and Electronics Engineers (IEEE)
- Association for Computing Machinery (ACM)
- American Society of Civil Engineers (ASCE)
- American Association for the Advancement of Science (AAAS)
NSF News & Highlights
- 2016: Story highlights papers in Nature and Nature Climate Change
- 2015: Nature paper on climate change and coastal upwelling
- 2014: Climate change research goes to the extremes
- 2012: ScienceLives Interview
- 2012: NSF Newsletter Current (see page 3: “Faces of NSF Research”)
- 2011: Nature Climate Change paper on Indian rainfall extremes
Water & Climate Science, Data & Network Science, and Infrastructure Resilience
Selected Research Projects
- Cyber-Based Contingency Analysis of Interdependent Transportation and Communication Networks under Uncertainty
- – Principal Investigator, United States Department of Energy’s Pacific Northwest National Laboratory
- Machine Learning in the Earth Systems Sciences and Engineering
- – Principal Investigator, National Aeronautics and Space Administration
(Current/former students, postdocs, mentees, visiting profs.: Underlined)
Books: Texts or Monographs
- A.R. Ganguly, U. Bhatia, and S.E. Flynn. Critical Infrastructures Resilience, Routledge (Taylor & Francis), 152 pages, 2018.
- A.R. Ganguly, J. Gama, O.A. Omitaomu, M. Gaber, and R.R. Vatsavai (Editors). Knowledge Discovery from Sensor Data, CRC Press (Taylor & Francis), 215 pages, 2008.
(Highly Selective: < ~10% acceptance rate)
- T.J. Vandal, E. Kodra, S. Ganguly, A. Michaelis, R. Nemani, A.R. Ganguly. “DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution”, KDD 2017, ACM SIGKDD Knowledge Discovery and Data mining, 2017, (Published in KDD 2017 Proceedings), Halifax, Nova Scotia, Canada, 2017. (Runner-Up Best Paper Award) Highlight: “The case for technology investments in the environment”, Nature, 552, 325-328, 2017.
- S. Chatterjee, K. Steinhaeuser, A. Banerjee, S. Chatterjee, and A.R. Ganguly. “Sparse Group Lasso: Consistency and Climate Applications”, SDM 2012, SIAM International Conference on Data Mining (Published in SDS 2012 Proceedings), Anaheim, CA, April 26-28, 2012. (Best Student Paper Award)
- K. Clark, U. Bhatia, E. Kodra, and A.R. Ganguly. “Resilience of the US national airspace system airport network”, IEEE Transactions on Intelligent Transportation Systems, accepted and in print.
- D. Kumar, and A.R. Ganguly. “Intercomparison of model response and internal variability across climate model ensembles”, Climate Dynamics, published online (DOI: 10.1007/s00382-017-3914-4), 2017.
- P. Ganguli, D. Kumar, and A.R. Ganguly. “US power production at risk from water stress in a changing climate”, Scientific Reports, 7, 11983, Nature Publishing Group, 2017.
- P. Ganguli, A.R. Ganguly. “Space-time trends in US meteorological droughts”, Journal of Hydrology: Regional Studies, 8: 235-259, 2016.
- 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. (Cited in US NCA4 Vol. 1)
- 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, IEEE & AIP, 17(6), 53-60, 2015.
- D. Das, A.R. Ganguly, and Z. Obradovic. “A Bayesian sparse generalized linear model with an application to multiscale covariate discovery for observed rainfall extremes over the United States”, IEEE Transactions on Geoscience and Remote Sensing, 53(12): 6689-6702, 2015.
- E. Kodra, A.R. Ganguly. “Asymmetry of projected increases in extreme temperature distributions”, Scientific Reports, 4, 5884, Nature Publishing Group, 2014.
- D. Kumar, E. Kodra, and A.R. Ganguly. “Regional and seasonal intercomparison of CMIP3 and CMIP5 climate model ensembles for temperature and precipitation”, Climate Dynamics, 43 (9), 2491-2518, 2014. (Cited in US NCA4 Vol. 1)
- S. Liess, A. Kumar, P.K. Snyder, J. Kawale, K. Steinhaeuser, F.H.M. Semazzi, A.R. Ganguly, N.F. Samatova, and V. Kumar. “Different modes of variability over the Tasman Sea: implications for regional climate”, Journal of Climate, 27(22): 8466-8486, 2014. Highlight: “How machine learning could help to improve climate forecasts”, Nature, 548, 379-380, 2017.
- 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, 777-795, 2014.
- D. Das, J. Dy, J. Ross, Z. Obradovic, and A.R. Ganguly. “Non-parametric Bayesian mixture of sparse regressions with application towards feature selection for statistical downscaling”, Nonlinear Processes in Geophysics, (Special Issue on Physics-driven Data Mining in Climate Change and Weather Extremes by Auroop Ganguly, Vimal Mishra, Daiwei Wang, William Hsieh, Forrest Hoffman, Vipin Kumar, and Juergen Kurths [Editors]), 21(1): 1145-1157, 2014.
- 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, 86-91, 2012.
- E. Kodra, 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, 139, 2011. (Cited in IPCC AR5)
- S.-C. Kao, and A.R. Ganguly. “Intensity, duration, and frequency of precipitation extremes under 21st-century warming scenarios”, Journal of Geophysical Research, 116, D16, 119, 2156-2202, 2011. (Cited in IPCC AR5)
- K. Steinhaeuser, N.V. Chawla, A.R. Ganguly. “Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science”, Statistical Analysis & Data Mining, American Statistical Association, 4(5), 497-511, 2011.
- A.R. Ganguly, K. Steinhaeuser, D.J. Erickson III, 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, 106, 37, 15555-15559, 2009.
- O.A. Omitaomu, A.R. Ganguly, B. Patton, and V.A. Protopopescu. “Anomaly detection in radiation sensor data with application to transportation security”, IEEE Transactions on Intelligent Transportation Systems, 10(2): 324-334, 2009.
- S. Khan, S. Bandyopadhyay, A.R. Ganguly, S. Saigal, D.J. Erickson III, V. Protopopescu, G. Ostrouchov. “Relative performance of mutual information estimation methods for quantifying the dependence among short and noisy data”, Physical Review E, 76, 2, 026209, 2007.
Community Outreach (Selected)
- Community Resilience to Extreme Heat in Brookline, MA: Thriving Earth Exchange of the American Geophysical Union
- Climate Ready Boston (“BRAG Report”): City of Boston, Mayor’s Office
Jun 29, 2020
CEE Alumni Spotlight: Physics-guided Probabilistic Modeling of Extreme Precipitation Under Climate Change
In a newly released paper, published in Scientific Reports, CEE alumni Drs. Udit Bhatia and Evan Kodra examine new methods for improving earth systems models.
Jun 01, 2020
CEE Professor Auroop Ganguly was awarded a patent for creating a “System for networking and analyzing geospatial data, human infrastructure, and natural elements.”
May 28, 2020
CEE Professor Auroop Ganguly is the lead PI on a $3M grant for “NICE: Networked Infrastructures under Compound Extremes” from the DoD’s Strategic Environmental Research and Development Program (SERDP).
May 14, 2020
Interdisciplinary PhD alum Babak Fard, PhD’18 used his work with Auroop Ganguly as a starting point for risk modeling and adapt it to COVID-19 risk mapping and modeling, as described in the Eos article “Geoscientists Help Map the Pandemic“.
Mar 09, 2020
Shashank Konduri wins 1st Place Poster Presentation at American Meteorological Society’s 100th Annual Meeting
Interdisciplinary PhD student Shashank Konduri received the 1st Place Poster Presentation Award for his poster on “In-season crop mapping for the continental United States” at the American Meteorological Society’s 100th Annual Meeting.
Jan 21, 2020
CEE Professor Auroop Ganguly was quoted in Nature India’s article “India’s sanitation measures may be showing initial results.”
Jan 13, 2020
CEE Professor Auroop Ganguly’s spinout company risQ, founded by him and his former PhD students, has announced a relationship with Intercontinental Exchange (NYSE:ICE) to help enable the municipal bond ecosystem to incorporate climate risk into project and investment decisions.
Nov 26, 2019
CEE Professor Auroop Ganguly was awarded a patent for creating a “system for multivariate climate change forecasting with uncertainty quantification”.
Sep 27, 2019
CEE Professor Auroop Ganguly led a group of students on a Dialogue of Civilizations in India to study climate change science and policy.
Jul 24, 2019
CEE Professor Auroop Ganguly was awarded a patent for creating a “System for networking and analyzing geospatial data, human infrastructure, and natural elements”. Abstract Source: USPTO A method and system for providing a recovery sequence for a network from a state of disruption to a state of partial or complete functionality are provided. The method […]