You are here

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

  • 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
  • Associate Editor, ASCE Journal of Computing in Civil Engineering
  • Artificial Intelligence Committee, 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 Reearch
  • 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 Association for the Advancement of Science (AAAS)
  • American Geophysical Union (AGU)
  • American Meteorological Society (AMS)
  • American Society of Civil Engineers (ASCE)
  • Association for Computing Machinery (ACM)
  • Institute of Electrical and Electronics Engineers (IEEE)

NSF News & Highlights

Selected Publications

  • 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, Halifax, Nova Scotia, Canada, 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.
  • 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, Nature Publishing Group, 2014.
  • 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.
  • 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, 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, 139, 2011. 
  • 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 of the United States of America, 106, 37, 15555-15559, 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. 
See Google Scholar Profile for all publications »

Related News

September 11, 2017

COS Professor Albert-Laszlo Barabasi (PI) and Co-PIs Kathryn Coronges, Executive Director of the Network Science Institute; Stephen Flynn, Director of the Global Resilience Institute; ECE Professor Edmund Yeh and CEE Professor Auroop Ganguly, Director of the Sustainability and Data Sciences Laboratory (SDS Lab), were awarded a $2.5M NSF CRISP grant for "Interdependent Network-based Quantification of Infrastructure Resilience (INQUIRE)".

September 11, 2017

CEE Professor Auroop Ganguly discusses the effects of climate change on the changing weather patterns and what can be done to prepare. Source: News @ Northeastern In the past month, Hurricane Irma...

September 3, 2017

CEE Professor Auroop Ganguly's op-ed article on " Confronting weather extremes " was featured in the Millennium Post...