Auroop Ratan Ganguly

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Auroop Ratan Ganguly
Ganguly-a.jpg
Born
Alma materMassachusetts Institute of Technology
University of Toledo, Ohio
Indian Institute of Technology Kharagpur
Scientific career
FieldsClimate Extremes and Water Sustainability
Infrastructural Resilience and Homeland Security
Artificial Intelligence and Nonlinear Dynamics
Institutions
Doctoral advisorRafael L. Bras

Auroop Ratan Ganguly is an American hydrologist and a civil engineer of Indian origin best known for his work at the intersection of Climate Extremes and Water Sustainability, Infrastructural Resilience and Homeland Security, and Artificial Intelligence and Nonlinear Dynamics.

Academics[edit]

Ganguly has done his schooling from St. Xaviers School, Durgapur and received a Bachelor of Technology in Civil Engineering from Indian Institute of Technology, Kharagpur (1993), a Master of Science in Civil Engineering from University of Toledo, Ohio (1997), and a PhD from the Civil and Environmental Engineering Department at the Massachusetts Institute of Technology, Cambridge, Massachusetts (2002).

Professional work[edit]

Ganguly has been a faculty member at Northeastern University (NU), Boston, USA since 2013. He is currently a Professor of Civil and Environmental Engineering. He is also Professor by courtesy of multiple departments and colleges at NU, specifically, Computer and Information Science, 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, Kharagpur. Ganguly is the Director of the Sustainability and Data Sciences at NU.[1]

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 Database Kernel and Demand Forecasting E-business groups, and at a startup called Demantra Inc., a demand forecasting company subsequently acquired by Oracle, for a year. In addition, he held joint and visiting faculty positions at the University of Tennessee in Knoxville, Tennessee, and the University of South Florida in Tampa, Florida.  

Memberships[edit]

Ganguly is member of United Nations Environmental Program review panel[2] and the lead author of the Artificial Intelligence (AI) section of the 2018 Sustained National Climate Assessment of the United States.[3] He is also a fellow of the American Society of Civil Engineers and a senior member of the Institute of Electrical and Electronics Engineers (IEEE). He is currently on the editorial board of Nature's Scientific Reports, and PLOS One. He is also an Associate Editor of 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, on the AI committee of the American Meteorological Society (AMS), and as a co-chair of the Societal Dimensions Working Group at the National Center for Atmospheric Research (NCAR).[4] Ganguly is the co-founder and chief scientific adviser at the Cambridge, Massachusetts-based NSF-funded startup[5] risQ.[6]

Research Areas[edit]

Ganguly's research across the fields on water and climate science, infrastructures resilience and security, as well as machine learning and nonlinear dynamics. He develops fundamental insights about weather extremes and water sustainability, innovative ways to reduce fragility of infrastructures, and new adaptations of data science. Thus, research teams led by him have been among the first to suggest the possibility of persisting cold snaps under global warming,[7] point to growing spatial variability of extreme rainfall during the Indian monsoon,[8] translate scientific understanding of precipitation extremes under climate change to intensity-duration-frequency curves relevant for the design of hydraulic infrastructures,[9] develop efficient recovery strategies for damaged critical lifeline networks,[10][11][12] rigorously compare methods to examine nonlinear relations among short and noisy data,[13] develop hybrid physics and data science methods for weather and climate extremes,[14] and new machine learning[15][16][17] and network science methods for representing and projecting complex space-time and graphical data.[18] His research informs governments, companies, communities, and people in the broad area of climate adaptation and resilient engineering for urban sustainability and rural development with an emphasis on becoming resilient to changes and extreme events.[19][20][21]

Ganguly's research has been cited in United Nations and US assessment reports, highlighted in commentaries in scientific venues such as Nature,[22] PNAS, NASA Tech Briefs, R&D Magazine,[23] US Department of Energy (DOE), and National Science Foundation (NSF) news,[24] while he and his work have been quoted by the news media in the US[25][26] and across the globe.[27][28][29][30][31]

Books[edit]

  • Critical Infrastructures Resilience, with Udit Bhatia and Stephen Flynn, Routledge, 2018
  • Knowledge Discovery from Sensor Data, Auroop R. Ganguly, Joao Gama, Olufemi A. Omitaomu, Mohamed Gaber, Ranga Raju Vatsavai (editors), CRC Press , 2008

Select publications[edit]

  • Wang, Daiwei; Gouhier, Tarik C.; Menge, Bruce A.; Ganguly, Auroop R. (2015). "Intensification and spatial homogenization of coastal upwelling under climate change". Nature. 518 (7539): 390–394. Bibcode:2015Natur.518..390W. doi:10.1038/nature14235. ISSN 0028-0836. PMID 25693571. S2CID 4470967.
  • Ganguly, A. R.; Steinhaeuser, K.; Erickson, D. J.; Branstetter, M.; Parish, E. S.; Singh, N.; Drake, J. B.; Buja, L. (2009). "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. Bibcode:2009PNAS..10615555G. doi:10.1073/pnas.0904495106. ISSN 0027-8424. PMC 2739867. PMID 19805213.
  • Ghosh, Subimal; Das, Debasish; Kao, Shih-Chieh; Ganguly, Auroop R. (2011). "Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes". Nature Climate Change. 2 (2): 86–91. doi:10.1038/nclimate1327. ISSN 1758-678X.
  • Khan, Shiraj; Bandyopadhyay, Sharba; Ganguly, Auroop R.; Saigal, Sunil; Erickson, David J.; Protopopescu, Vladimir; Ostrouchov, George (2007). "Relative performance of mutual information estimation methods for quantifying the dependence among short and noisy data". Physical Review E. 76 (2): 026209. Bibcode:2007PhRvE..76b6209K. doi:10.1103/PhysRevE.76.026209. hdl:2047/d20002073. ISSN 1539-3755. PMID 17930123.
  • Bhatia, Udit; Kumar, Devashish; Kodra, Evan; Ganguly, Auroop R. (2015). "Network Science Based Quantification of Resilience Demonstrated on the Indian Railways Network". PLOS ONE. 10 (11): e0141890. arXiv:1508.03542. Bibcode:2015PLoSO..1041890B. doi:10.1371/journal.pone.0141890. ISSN 1932-6203. PMC 4633230. PMID 26536227.
  • Vandal, Thomas; Kodra, Evan; Ganguly, Sangram; Michaelis, Andrew; Nemani, Ramakrishna; Ganguly, Auroop R. (2017). "DeepSD". Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 1663–1672. doi:10.1145/3097983.3098004. ISBN 9781450348874. S2CID 13205911.

References[edit]

  1. ^ "Sustainability and Data Sciences (SDS) Lab @ NEU". web.northeastern.edu. Retrieved 2018-09-26.
  2. ^ "CEE Professor Ganguly Joins United Nations Panel | Civil & Environmental Engineering | Northeastern University". www.civ.neu.edu. Retrieved 2018-09-26.
  3. ^ "Ganguly leads Artificial Intelligence section for US Climate Assessment | Civil & Environmental Engineering | Northeastern University". www.civ.neu.edu. Retrieved 2018-09-26.
  4. ^ "SDWG | Societal Dimensions Working Group". www.cesm.ucar.edu. Retrieved 2018-09-26.
  5. ^ "NSF Award Search: Award#1758286 - SBIR Phase II: Climate Analytics Platform for Catastrophe Modeling and Risk Management". nsf.gov. Retrieved 2018-09-26.
  6. ^ "risQ - Home". risq.io. Retrieved 2018-09-26.
  7. ^ Kodra, Evan; Steinhaeuser, Karsten; Ganguly, Auroop R. (2011-04-27). "Persisting cold extremes under 21st-century warming scenarios". Geophysical Research Letters. 38 (8): n/a. Bibcode:2011GeoRL..38.8705K. doi:10.1029/2011gl047103. ISSN 0094-8276.
  8. ^ Ghosh, Subimal; Das, Debasish; Kao, Shih-Chieh; Ganguly, Auroop R. (2011-12-18). "Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes". Nature Climate Change. 2 (2): 86–91. doi:10.1038/nclimate1327. ISSN 1758-678X.
  9. ^ Kao, Shih-Chieh; Ganguly, Auroop R. (2011-08-26). "Intensity, duration, and frequency of precipitation extremes under 21st-century warming scenarios". Journal of Geophysical Research. 116 (D16): D16119. Bibcode:2011JGRD..11616119K. doi:10.1029/2010jd015529. ISSN 0148-0227.
  10. ^ Bhatia, Udit; Kumar, Devashish; Kodra, Evan; Ganguly, Auroop R. (2015-11-04). "Network Science Based Quantification of Resilience Demonstrated on the Indian Railways Network". PLOS ONE. 10 (11): e0141890. arXiv:1508.03542. Bibcode:2015PLoSO..1041890B. doi:10.1371/journal.pone.0141890. ISSN 1932-6203. PMC 4633230. PMID 26536227.
  11. ^ "Researchers develop a new tool to guide recovery from disasters". Retrieved 2018-09-26.
  12. ^ "Resilience of the US National Airspace System Airport Network - IEEE Journals & Magazine". doi:10.1109/TITS.2017.2784391. S2CID 54436677. Cite journal requires |journal= (help)
  13. ^ Khan, Shiraj; Bandyopadhyay, Sharba; Ganguly, Auroop R.; Saigal, Sunil; Erickson, David J.; Protopopescu, Vladimir; Ostrouchov, George (2007-08-14). "Relative performance of mutual information estimation methods for quantifying the dependence among short and noisy data" (PDF). Physical Review E. 76 (2): 026209. Bibcode:2007PhRvE..76b6209K. doi:10.1103/PhysRevE.76.026209. hdl:2047/d20002073. PMID 17930123.
  14. ^ Ganguly, A. R.; Kodra, E. A.; Agrawal, A.; Banerjee, A.; Boriah, S.; Chatterjee, Sn; Chatterjee, So; Choudhary, A.; Das, D. (2014-07-28). "Toward enhanced understanding and projections of climate extremes using physics-guided data mining techniques". Nonlinear Processes in Geophysics. 21 (4): 777–795. Bibcode:2014NPGeo..21..777G. doi:10.5194/npg-21-777-2014. ISSN 1023-5809.
  15. ^ Vandal, Thomas; Kodra, Evan; Ganguly, Sangram; Michaelis, Andrew; Nemani, Ramakrishna; Ganguly, Auroop R. (2017-08-13). DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. ACM. pp. 1663–1672. doi:10.1145/3097983.3098004. ISBN 9781450348874. S2CID 13205911.
  16. ^ News, SIGKDD. "SIGKDD Awards : 2017 SIGKDD Best Paper Award Winners". www.kdd.org. Retrieved 2018-09-26.
  17. ^ "SIAM: SIAM International Conference on Data Mining (SDM12)". archive.siam.org. Retrieved 2018-09-26.
  18. ^ Steinhaeuser, Karsten; Ganguly, Auroop R.; Chawla, Nitesh V. (2011-06-30). "Multivariate and multiscale dependence in the global climate system revealed through complex networks". Climate Dynamics. 39 (3–4): 889–895. Bibcode:2012ClDy...39..889S. doi:10.1007/s00382-011-1135-9. ISSN 0930-7575. S2CID 12086088.
  19. ^ https://www.boston.gov/sites/default/files/document-file-12-2016/brag_report_-_final.pdf
  20. ^ "Climate Ready Boston Report | Civil & Environmental Engineering | Northeastern University". www.civ.neu.edu. Retrieved 2018-09-26.
  21. ^ "Building Community Resilience to Extreme Heat - Thriving Earth Exchange". Thriving Earth Exchange. Retrieved 2018-09-26.
  22. ^ "Cold spells in a warm world". Nature. 472 (7342): 139. 1 April 2011. doi:10.1038/472139d.
  23. ^ "Climate change research goes to the extremes". Research & Development. 2014-07-30. Retrieved 2018-09-26.
  24. ^ "NSF Highlights Ganguly's Work | Civil & Environmental Engineering | Northeastern University". www.civ.neu.edu. Retrieved 2018-09-26.
  25. ^ "Mumbai, Miami on list for big weather disasters, panel says - The Boston Globe". BostonGlobe.com. Retrieved 2018-09-26.
  26. ^ "Alumni call on MIT to champion artificial intelligence education". MIT News. Retrieved 2018-09-26.
  27. ^ "The hurricane season comes to an end". www.aljazeera.com. Retrieved 2018-09-26.
  28. ^ "Researchers develop a new tool to guide recovery from disasters".
  29. ^ AP (30 March 2012). "Nations should prepare for weather disasters".
  30. ^ "Mumbai, Miami on list for big weather disasters".
  31. ^ "Indian-Origin Researchers in US Discover Tool to Help Recover From Disasters".

External links[edit]