Auroop R. Ganguly

COE Distinguished Professor,  Civil and Environmental Engineering
Professor (affiliated),  Khoury College of Computer Sciences
Professor (affiliated),  School of Public Policy and Urban Affairs
Director,  Sustainability & Data Sciences Laboratory (SDS Lab)
Director, AI for Climate & Sustainability,  The Institute for Experiential AI
(Former) Co-Director,  Global Resilience Institute
Chief Scientist (Joint Appointee), Advanced Computing, Mathematics, and Data Division,  Pacific Northwest National Laboratory, Richland, WA
(Former) Co-Founder & Chief Scientific Adviser,  risQ Inc.

Contact

Social Media

Office

  • 177 Huntington Avenue, 3rd Floor
  • 617-373-3710 (email preferred)

Lab

  • Sustainability and Data Science Lab: 216 Mass Ave, Boston, MA 02115
    AI4CaS (Boston): 177 Huntington Ave, 3rd Floor
    AI4CaS (Portland): Roux Institute, Portland, ME
  • 617-373-6005 (email preferred)

Research Focus

Science: Climate Dynamics, Weather Extremes, Hydrology, Hydrometeorology, and Ecology Engineering: Critical Infrastructructure, Water Resources, Transportation Security, and Lifeline Systems Data Science: Machine Learning, Network Science, Nonlinear Dynamics, and Extreme Value Theory Interdisciplinary Methods: Knowledge Guided Data-Driven Sciences and Artificial Intelligence Convergent Challenge: Environmental Security, Climate Adaptation, and Infrastructure Resilience

About

Auroop R Ganguly, with nearly 26 years of professional experience spanning private industry, government, and academia, is a College of Engineering Distinguished Professor at Northeastern University (NU) in Boston, MA. He directs the Sustainability and Data Sciences Laboratory (SDS Lab) and the AI for Climate and Sustainability (AI4CaS) focus area within the Institute for Experiential AI (EAI) and previously co-directed the Global Experience Institute (GRI). He holds a joint appointment as a Chief Scientist at the Pacific Northwest National Laboratory (PNNL) in their Advanced Computing, Mathematics, and Data Division.

Ganguly was previously employed as a Senior Scientist at the US DOE’s Oak Ridge National Laboratory (ORNL) in their Computational Sciences and Engineering Division and their Climate Change Science Initiative. He also worked with Oracle Corporation, first as a Time Series Software Developer and then as the Product Manager of their Demand Planning product from launch to market acceptance, and subsequently as the Senior Product Manager for Analytics and Strategy at a best-of-breed company called Demantra Inc., later acquired by Oracle.

Ganguly’s convergent research themes include process knowledge integrated data-driven sciences such as machine learning, nonlinear dynamics, network science and optimization, and extreme value theory. He also focuses on the predictive understanding of climate and weather systems and resilience of lifeline infrastructure or ecological networks, and water resources systems, along with their interactions with human and policy dimensions for resilience to climate, security, and compound extremes. His research has been published in high-impact journals such as Nature, Nature Climate Change, and PNAS, as well as disciplinary journals in science, engineering, and computational methods. He has received best-paper awards at highly-selective computer science conferences such as ACM KDD and SIAM Data Mining.

He has authored a textbook on Critical Infrastructure Resilience and edited books on Knowledge Discovery from Sensor Data. Ganguly has been widely quoted in the mainstream media, including the New York Times, Newsweek, Guardian, and the Independent, both in the US and around the world. He has also been featured in scientific venues such as National Geographic, Nature Research Briefings, and NSF News. He has been invited as a keynote and plenary speaker at National Academy workshops and prestigious conferences, elected as lead author in urban and national climate resilience assessments, and cited in assessment reports and invited for panels of the United Nations in areas such as climate, environment, and disaster risk reduction.

He has been a co-founder and advisor to successful and innovative startups in urban climate risk analytics and AI-based precision weather forecasts and is the inventor of two US patents, one in climate risks and the other in network resilience. Ganguly has been a PI, Co-PI, or senior person for nearly $65M of research funding received over the years from agencies such as NSF, DOE, DOD, DHS, and NASA, as well as private donors and the private-public sector, and the governments of India and Indonesia.

He obtained a PhD from the civil and environmental engineering department at the Massachusetts Institute of Technology in Cambridge, MA, in hydrology, an MS from the University of Toledo in Ohio in civil and environmental engineering, and a B.Tech. (Hons.) from the Indian Institute of Technology at Kharagpur in civil engineering. His former students, postdocs, and mentees have been widely successful as startup entrepreneurs, industry leaders, private and government researchers, and university professors, both nationally and across the world. Ganguly is a Fellow of the American Society of Civil Engineers (ASCE) and a Distinguished Member of the Association for Computing Machinery (ACM).

Education

  • 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

Honors & Awards

Society Honors

  • Distinguished Member, Association for Computing Machinery (ACM), Elected: 2023
  • Senior Member, Association for Computing Machinery (ACM), Elected: 2021
  • Fellow, American Society of Civil Engineers (ASCE), Elected: 2019
  • Member, The Council for Good, AI for Good Foundation (AI4Good), Elected: 2019
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE), Elected: 2018

Institutional Awards: Academia

  • College of Engineering Distinguished Professor Award, Northeastern University, 2023
  • Constantinos Mavroidis Translational Research Award, Northeastern University, 2021
  • 2011 Faculty Fellow, College of Engineering, Northeastern University, 2011
  • Outstanding Joint Research Faculty Award, University of Tennessee, Knoxville, 2010

Institutional Awards: National Laboratory

  • Joint Appointment as Chief Scientist, Pacific Northwest National Laboratory, 2020
  • Significant Event Award (Novel Climate Simulations), Oak Ridge National Laboratory, 2010
  • Significant Event Award (Climate War Games Support), Oak Ridge National Laboratory, 2009
  • Exceptional Mentoring Award, Oak Ridge National Laboratory, US DOE, 2009
  • Significant Event Award (DARPA behavior model), Oak Ridge National Laboratory, 2009
  • Outstanding Mentor Award, United States Department of Energy (for work at ORNL), 2008
  • Outstanding Mentor Award, United States Department of Energy (for work at ORNL), 2006
  • Selfless Mentoring Award, United States Department of Energy (for work at ORNL), 2006

Best Paper Awards: Highly Selective Peer-Reviewed Conferences

  • Runner-Up Best Paper Award in ACM KDD Applied Data Science Track 2017, for: Vandal, T.*, Kodra, E.*, Ganguly, S., Michaelis, A., Nemani, R., and A.R. Ganguly (2017): DeepSD: Generating high resolution climate change projections thro’ single image super-resolution, KDD 2017, 23rd ACM SIGKDD Conference on Knowledge Discovery & Data Mining, August 13–17, 2017, Halifax, NS, Canada. (2017 Oral Acceptance Rate in Applied Data Science: 8.8%), 2017
  • Best Student Paper Award in SDM 2012, for: Chatterjee, S., Steinhaeuser, K., Banerjee, A., Chatterjee, S., and Ganguly, A.R. (2012): Sparse Group Lasso: Consistency and Climate Applications. SIAM International Conference on Data Mining (SDM 2012), Anaheim, CA, April 26-28, 2012. Best Student Paper Award, 2012

Best Paper Awards: Journal Paper

  • Clemens Herschel Award, (to former Ph.D. student Kate Duffy) for: Duffy, K.*, Gouhier, T., A.R. Ganguly (2022): Climate-mediated shifts in temperature fluctuations promote extinction risk. Nature Climate Change: 12, 1037–1044. Boston Society of Civil Engineers (BSCES), ASCE Member Section, Boston, MA, USA, 2023

Best Paper Awards (Selected): Peer-Reviewed Conferences and Workshops

  • Best Climate Paper Award, for: Watson, J.R.*, Chatterjee, S., A.R. Ganguly (2022): Resilience of Urban Rail Transit Networks under Compound Natural & Opportunistic Failures. IEEE HST: International Symposium on Technologies for Homeland Security, Boston, MA, USA, 2022
  • Best Student Paper Award, for: Yadav, N.*, Ravela, S. and Ganguly, A.R. (2020): Physics-guided Gaussian Processes for Parameterization in Nonlinear Dynamical Systems with Application in Climate Modeling, Fragile Earth Workshop held with ACM KDD, 2020

Best Poster or Presentation Awards (Selected)

  • Student Merit Award, for: Watson, J.R.*, Chatterjee, S., and Ganguly, A. (2022). Resilience of multi-scale rail networks against compound floods and opportunistic failures. In 2022 Society of Risk Analysis (SRA) Annual Meeting. Extended abstract and presentation by Watson. Student Merit Award, Risk Analysis Specialty Group, Society of Risk Analysis, 2022
  • Student Merit Award, for: Watson, J.R.*, Chatterjee, S., and Ganguly, A. (2021). A hierarchical network-of-networks framework for resilient design & operation of multiscale rail infrastructure. In 2021 Society of Risk Analysis (SRA) Annual Meeting. Extended abstract and presentation by Watson. Student Merit Award, Risk Analysis Specialty Group, Society of Risk Analysis, 2021
  • First Place Poster Presentation, for: Konduri, V.S.*, Kumar, J., Hargrove, W., Hoffman, F.M., and A.R. Ganguly (2020): In-season crop mapping for the continental United States, Hydrology Section, 100th American Meteorological Society Annual Meeting, Boston, MA, 2020
  • First Place Virtual Poster Award (with a commendation from the CEO of AGU for Babak J. Fard), for: Fard, B.J.*, Hassanzadeh, H.*, Warner, M.E.*, Bhatia, U.*, and A.R. Ganguly (2017): Effective Mitigation and Adaptation Strategies for Public Health Impacts of Heatwaves for Brookline, MA. Spring 2017 Virtual Poster Showcase, American Geophysical Union, 2017

Teaching Interests

  • CIVE 3464 (Undergraduate): Probability and Engineering Economy for Engineers (Spring, Fall)
  • CIVE 5363 (Undergraduate/Graduate): Climate Science, Engineering Adaptation, and Policy (Spring, Fall)
  • CIVE 7100 (Graduate): Applied Time Series and Spatial Statistics (Spring)
  • CIVE 7110 (Graduate): Critical Infrastructure Resilience (Fall)
  • CIVE 4777 & CIVE 4778 (Undergraduate): Climate Change Science and Policy Abroad (Summer)

Leadership Positions

Appointments: Private Industry and Government

  • (Joint) Chief Scientist, Pacific Northwest National Laboratory, Richland, WA, 2020-Now
  • 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

Appointments: US Academia

  • 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

Appointments: Indian Academia

  • Guest Professor, Indian Institute of Technology Gandhinagar, Gujarat, India, 2021-Now
  • International Visiting Professor, Computer Science and Environmental Science, Indian Institute of Technology Kharagpur, West Bengal, India, 2018-2021
  • Visiting Professor, Interdisciplinary Program on Climate, Indian Institute of Technology Bombay, Mumbai, India, 2013-2015

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)

 

Research Overview

Science: Climate Dynamics, Weather Extremes, Hydrology, Hydrometeorology, and Ecology Engineering: Critical Infrastructructure, Water Resources, Transportation Security, and Lifeline Systems Data Science: Machine Learning, Network Science, Nonlinear Dynamics, and Extreme Value Theory Interdisciplinary Methods: Knowledge Guided Data-Driven Sciences and Artificial Intelligence Convergent Challenge: Environmental Security, Climate Adaptation, and Infrastructure Resilience

The Sustainability and Data Sciences Laboratory (SDS Lab), led by Auroop Ganguly, develops novel insights in the interdisciplinary sciences of climate extremes and the engineering principles of networked lifelines to inform adaptation and policy. Physics-integrated spatiotemporal machine learning and nonlinear dynamics, especially from large-scale numerical model-simulations and remote or in-situ sensor data, enable the discovery of new insights in climate extremes and uncertainty, while network sciences and optimization along with engineering or ecological principles aid in understanding infrastructural or ecosystem vulnerability. Decision sciences and policy imperatives are integrated in the scientific discovery and technological invention processes to embed stakeholder perspectives.

The Artificial Intelligence for Climate and Sustainability (AI4CaS), a University Institute focus area led by Auroop Ganguly, defines its mission as “Harnessing AI to Turn Complexity Into Planet Saving Innovations.”  Understanding a coupled natural-human ecosystem as complex as our planet’s requires a combination of AI and process knowledge. We are developing sophisticated knowledge-integrated AI around climate risk, resilience, and energy sustainability in conjunction with public, private, and government partners around the world. Our research focuses on: (1) Human Knowledge Guided AI for Climate Science and Impacts; (2) Precision AI-Based Weather for Disasters and Renewable Energy; (3) AI Risks for National Critical Functions and Key Resources; (4) Human Stakeholder-Guided AI for Climate-Water-Energy Nexus; and (5) AI on Graphs for Renewable Energy Production and Distribution.

The connections with the US DOE’s Pacific Northwest National Laboratory (PNNL) is described here. Besides PNNL, we have strong connections with NASA (Ames Research Center) and US DOE’s Oak Ridge National Laboratory (ORNL), as well as the Incontentinental Exchange (ICE), which owns the New York Stock Exchange and acquired our startup risQ.

Ganguly’s research has been funded by US agencies such as NSF, DOE, DOD, DHS, and NASA, as well as private donors and the private-public sector, and the governments of India and Indonesia. Ganguly has been a PI, a Co-PI, or a senior person for nearly $65M of research funding received over the years.

Thirty Six Selected Publications (led by Ganguly and/or his students/postdocs/mentees)

Google Scholar

Faculty

Apr 18, 2024

Cloud Seeding May Have Caused Record-Breaking Rainfall in Dubai

CEE Distinguished Professor Auroop Ganguly explains what cloud seeding is and why it may have caused the recent flooding in Dubai. Cloud seeding has been met with concerns about its efficacy and its impact on the environment.

Faculty

Mar 11, 2024

Ganguly Team Awarded Funds To Develop Urban Visualization and Data Analysis Toolkit

Industry partner Kitware, a software development company who is collaborating with CEE Distinguished Professor Auroop Ganguly and his research team, was awarded $1.6 million in DOE Phase II SBIR funds for the development of an Urban Visualization and Data Analysis Toolkit to address urban climate change threats. The Northeastern team will develop translational quantitative methods for the analysis of interconnected infrastructure systems.

Faculty

Feb 21, 2024

Fending Off Cyberthreats in the Wake of Natural Disasters

Auroop Ganguly, CEE distinguished professor, and director of AI for Climate and Sustainability and co-director of Northeastern’s Global Resilience Institute, and his interdisciplinary team, are conducting a U.S. Department of Defense funded study on recovery from disruptions to critical infrastructure, both military and civilian.

Faculty

Jan 17, 2024

Ganguly and Melodia Elevated to ACM Distinguished Members

COE Distinguished Professor Auroop Ganguly of CEE and William Lincoln Smith Professor Tommaso Melodia of ECE were recognized as Distinguished Members of the Association for Computing Machinery (ACM) for their significant contributions. Ganguly was elevated for foundational advances, sustained service, and entrepreneurial accomplishments in climate data mining and machine learning, and Melodia was recognized for […]

Faculty

Jan 17, 2024

Reintroducing Bee-like Species To Collapsing Ecosystems

CEE Distinguished Professor Auroop Ganguly and Assistant Professor Tarik Gouhier conclude that honeybees are the simplest and most effective species to reintroduce to ecosystems collapsing from climate change. Their research was published in the journal Communications Biology.

Faculty

Jan 11, 2024

Using AI To Prepare for Severe Weather

CEE Professor Auroop Ganguly predicts that AI will play a significant role in predicting and preparing for future weather and climate disasters.

Faculty

Dec 22, 2023

Reviving Ecosystems: Maximizing Biodiversity Recovery Through Network-Based Restoration Strategies

Alumnus Udit Bhatia, PhD’18, civil and environmental engineering, and Auroop Ganguly, COE distinguished professor of CEE, were two of the co-authors of the paper “Network-based Restoration Strategies Maximize Ecosystem Recovery” published in Communications Biology. The paper discusses how global biodiversity loss demands predictive frameworks for ecosystem collapse and effective restoration strategies.

PhD

Dec 12, 2023

Predicting Flooding with AI Models

Following deadly floods in Tennessee, Puja Das, PhD’27, interdisciplinary engineering, is working on a NASA-funded project exploring AI-driven rainfall prediction models.

Undergraduate

Nov 15, 2023

CEE Student Nominated for Churchill-Kanders Scholarship

Environmental engineering and health science student Hyun Lee, E’23, was nominated for the Churchill-Kanders Scholarship, which was established in 2017 to address the growing divide between science and public policy by funding a Master’s in Public Policy at Cambridge University.

Faculty

Oct 20, 2023

A Climate Dialogue to Remember: South Asia and the 2023 Monsoons

A Dialogue of Civilizations course led by CEE Professor Auroop Ganguly traveled to India during the summer of 2023 to study climate science and engineering, adaptation and policy, data science and artificial intelligence, and cultural immersion.

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