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a.ganguly@northeastern.edu

Faculty Profile

Biography

Auroop Ganguly is a civil and environmental engineer who works at the intersection of three broad areas: (1) Climate Extremes and Water Sustainability, (2) Infrastructural Resilience and Homeland Security, and (3) Artificial Intelligence and Nonlinear Dynamics. Ganguly directs the Sustainability and Data Sciences Laboratory (SDS Lab) at Northeastern University, where he develops novel and actionable predictive understanding of climate and hydrological extremes as well as lifeline infrastructure networks based on hybrid physics-based models and data driven methods, which in turn draw from artificial intelligence and machine learning, time series and spatial or spatiotemporal statistics, nonlinear dynamics and network sciences, as well as optimization and econometrics. The SDS Lab aspires to develop fundamental hydrology and climate science understanding, innovate in resilience engineering principles, and develop novel technologies and methods that leverage the power of data, computation, and physics. Multidisciplinary domains such as weather extremes impacts on urban lifelines and interdisciplinary solutions such as physics-guided data sciences are among the focal areas. Prior to his current position at Northeastern University in Boston, MA, he was at the US Department of Energy's Oak Ridge National Laboratory for seven years in their Computational Sciences and Engineering Division, at Oracle Corporation for five years in their Time Series and Demand Forecasting groups, and at a startup subsequently acquired by Oracle for a year. In addition, he has a dual interest in ancient history and science fiction, i.e., the forgotten past and the unknown future. While he has nothing particularly against the here and now, he rarely gets any time to spend there and then. Once upon a time he obtained a PhD from MIT, and currently, other than his day job as the Principal Investigator of the SDS Lab at Northeastern, he takes a bunch of undergraduate kids abroad to study climate change science and policy, and happens to be the Chief Scientific Adviser for a startup co-founded with one of his former PhD students. Ganguly is particularly proud of the success of his students and research mentees in the private industry, government research and academia, and the recognition they receive. Thus, three of his current PhD students recently won back-to-back awards in machine learning (Vandal), urban climate (Jalalzadeh-Fard), and infrastructure resilience (Bhatia), while his former PhD students, post-MS, and postdoctoral associates are in faculty positions, research scientists at National Labs, a CEO of a startup, a Director of a large insurance company, a holder of a top international fellowship, as well as risk analysts, climate modelers, and machine learning researchers at diverse, multinational companies.

Education

  • 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

Water & Climate Science, Data & Network Science, and Infrastructure Resilience
Affiliated With

Department Research Areas

College Research Initiatives

Honors & Awards

  • 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.
  • 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
  • (Past) Associate Editor, AGU Water Resources Research
  • 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
  • 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

  • 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)

Professional Affiliations

  • 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

Selected Publications

Journals (students, postdocs, visiting professors: underlined)

  • 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. GanguliA.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. BhatiaD. KumarE. 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. GangulyD. KumarP. Ganguli, G. Short, G. and J. Klausner. "Climate Adaptation Informatics: Water Stress on Power Production", Computing in Science & EngineeringIEEE & AIP, 17(6), 53-60, 2015.
  • D. DasA.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. KodraA.R. Ganguly. "Asymmetry of projected increases in extreme temperature distributions", Scientific Reports, 4, 5884, Nature Publishing Group, 2014.
  • D. KumarE. 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)
  • A.R. GangulyE.A. Kodra, A. Agrawal, A. Banerjee, S. Boriah, Sn. Chatterjee, So. Chatterjee, A. Choudhary, D. Das, J. Faghmous, P. GanguliS. 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. SteinhaeuserD. 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 GangulyVimal MishraDaiwei Wang, William Hsieh, Forrest Hoffman, Vipin Kumar, and Juergen Kurths [Editors]), 21(1): 1145-1157, 2014. 
  • S. GhoshD. DasS.-C. KaoA.R. Ganguly. "Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes", Nature Climate Change, 2, 2, 86-91, 2012.
  • E. KodraK.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. GangulyK. 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. OmitaomuA.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. 

Conferences (Highly Selective: < ~10% acceptance rate)

  • T.J. VandalE. Kodra, S. Ganguly, A. Michaelis, R. Nemani, A.R. Ganguly. "DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution", KDD 2017ACM SIGKDD Knowledge Discovery and Data mining, 2017, (Published in KDD 2017 Proceedings), Halifax, Nova Scotia, Canada, 2017. (Runner-Up Best Paper Award)
  • 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)

Books (authored or edited)

See Google Scholar Profile for all publications »

Related News

November 7, 2017

In an Op-Ed article published by a media house in India, CEE Professor Auroop Ganguly points out that "drought-deluge cycles and water scarcity are wake up calls for citizens and policy makers...

November 6, 2017

A new book, Critical Infrastructures Resilience has been published by authors: Auroop Ratan Ganguly (CEE Professor), Stephen E. Flynn (CEE Affiliated Faculty), Udit Bhatia – 3/14/2018 Book...

September 27, 2017

CEE Professor Auroop Ganguly's research found that about 27 percent of power production in the United States will be severely impacted by warmer, scarcer water.