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ORCIDAuroop R. Ganguly
Auroop Ratan Ganguly
Person information
- affiliation: Northeastern University, Boston, MA, USA
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2020 – today
- 2024
[c34]Emre Eftelioglu
, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao:
Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD 2024: 6710-6711- [i13]Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee, Auroop R. Ganguly:
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance. CoRR abs/2402.03590 (2024) - 2023
- [j22]Kate Duffy, Thomas J. Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly:
A Framework for Deep Learning Emulation of Numerical Models With a Case Study in Satellite Remote Sensing. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3345-3356 (2023) - [c33]Puja Das, Kat Jensen, Shaunak De, Auroop R. Ganguly:
Flood Depth Estimation Using Synthetic Aperture Radar (SAR) Imagery and Topography: A Case Study of the 2021 and 2022 Floods in Hawkesbury Valley, Australia. IGARSS 2023: 2402-2405 - [c32]Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu:
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD 2023: 5845-5846 - [i12]Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly:
CDA: Contrastive-adversarial Domain Adaptation. CoRR abs/2301.03826 (2023) - [i11]Matthew R. Oster, Ilya Amburg, Samrat Chatterjee, Daniel A. Eisenberg, Dennis G. Thomas, Feng Pan, Auroop R. Ganguly:
A Tri-Level Optimization Model for Interdependent Infrastructure Network Resilience Against Compound Hazard Events. CoRR abs/2310.10587 (2023) - 2022
- [c31]Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly, Forrest M. Hoffman:
Using Image Processing Techniques to Identify and Quantify Spatiotemporal Carbon Cycle Extremes. ICDM (Workshops) 2022: 1136-1143 - [c30]Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu:
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. KDD 2022: 4866-4867 - [i10]Yumin Liu, Kate Duffy, Jennifer G. Dy, Auroop R. Ganguly:
Explainable deep learning for insights in El Nino and river flows. CoRR abs/2201.02596 (2022) - [i9]Nishant Yadav, Meytar Sorek-Hamer, Michael Von Pohle, Ata Akbari Asanjan, Adwait Sahasrabhojanee, Esra Suel, Raphael Arku, Violet Lingenfelter, Michael Brauer, Majid Ezzati, Nikunj C. Oza, Auroop R. Ganguly:
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations. CoRR abs/2202.08890 (2022) - [i8]Ted Fujimoto, Samrat Chatterjee, Auroop R. Ganguly:
Ad Hoc Teamwork in the Presence of Adversaries. CoRR abs/2208.05071 (2022) - 2021
- [c29]Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan:
Fragile Earth: Accelerating Progress towards Equitable Sustainability. KDD 2021: 4102-4103 - [i7]Nidhin Harilal, Udit Bhatia, Auroop R. Ganguly:
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise. CoRR abs/2106.12532 (2021) - 2020
- [j21]Auroop R. Ganguly, Tanay Mehta, Tirthak Patel, Ravi Sundaram, Devesh Tiwari:
Resilience and coevolution of preferential interdependent networks. Soc. Netw. Anal. Min. 10(1): 3 (2020) - [c28]Nishant Yadav, Auroop R. Ganguly:
A Deep Learning Approach to Short-Term Quantitative Precipitation Forecasting. CI 2020: 8-14 - [c27]Yumin Liu, Auroop R. Ganguly, Jennifer G. Dy:
Climate Downscaling Using YNet: A Deep Convolutional Network with Skip Connections and Fusion. KDD 2020: 3145-3153 - [i6]Nishant Yadav, Sai Ravela, Auroop R. Ganguly:
Machine Learning for Robust Identification of Complex Nonlinear Dynamical Systems: Applications to Earth Systems Modeling. CoRR abs/2008.05590 (2020)
2010 – 2019
- 2019
- [j20]Kate Duffy, Thomas Vandal, Shuang Li, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
DeepEmSat: Deep Emulation for Satellite Data Mining. Frontiers Big Data 2: 42 (2019) - [c26]Yumin Liu, Junxiang Chen, Auroop R. Ganguly, Jennifer G. Dy:
Nonparametric Mixture of Sparse Regressions on Spatio-Temporal Data - An Application to Climate Prediction. KDD 2019: 2556-2564 - [i5]Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay:
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. CoRR abs/1902.04604 (2019) - [i4]Kate Duffy, Thomas Vandal, Weile Wang, Ramakrishna R. Nemani, Auroop R. Ganguly:
Deep Learning Emulation of Multi-Angle Implementation of Atmospheric Correction (MAIAC). CoRR abs/1910.13408 (2019) - 2018
- [j19]Udit Bhatia, Auroop R. Ganguly, Stephen E. Flynn:
Book Interview: Critical Infrastructures Resilience: Policy and Engineering Principles. Big Data 6(3): 173-175 (2018) - [j18]Kevin L. Clark, Udit Bhatia, Evan Kodra, Auroop R. Ganguly:
Resilience of the U.S. National Airspace System Airport Network. IEEE Trans. Intell. Transp. Syst. 19(12): 3785-3794 (2018) - [c25]Auroop R. Ganguly, Tanbay Mehta, Ravi Sundaram, Devesh Tiwari:
Resilience and the Coevolution of Interdependent Multiplex Networks. ASONAM 2018: 226-233 - [c24]Udit Bhatia, Auroop Ratan Ganguly:
Extreme Values from Spatiotemporal Chaos: Precipitation Extremes and Climate Variability. ICDM Workshops 2018: 758-762 - [c23]Edward Collier, Kate Duffy, Sangram Ganguly, Geri Madanguit, Subodh Kalia, Shreekant Gayaka, Ramakrishna R. Nemani, Andrew R. Michaelis, Shuang Li, Auroop R. Ganguly, Supratik Mukhopadhyay:
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images. ICDM Workshops 2018: 763-769 - [c22]Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly:
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. IJCAI 2018: 5389-5393 - [c21]Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. KDD 2018: 2377-2386 - [i3]Thomas Vandal, Evan Kodra, Jennifer G. Dy, Sangram Ganguly, Ramakrishna R. Nemani, Auroop R. Ganguly:
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning. CoRR abs/1802.04742 (2018) - 2017
- [j17]Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar:
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. 29(10): 2318-2331 (2017) - [c20]Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly:
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. KDD 2017: 1663-1672 - [r7]Shahed Najjar, Udit Bhatia, Auroop R. Ganguly:
Climate Adaptation, Introduction. Encyclopedia of GIS 2017: 173-179 - [r6]Laura Blumenfeld, Tyler Hall, Hayden Henderson, Lindsey Bressler, Catherine Moskos, Udit Bhatia, Poulomi Ganguli, Devashish Kumar, Auroop R. Ganguly:
Climate and Human Stresses on the Water-Energy-Food Nexus. Encyclopedia of GIS 2017: 179-188 - [r5]Lindsey Bressler, Kara Morgan, Allison Traylor, Hayden Henderson, Udit Bhatia, Babak Fard, Devashish Kumar, Rajarshi Majumder, Sourav Mukherji, Joyashree Roy, Matthias Ruth, Auroop R. Ganguly:
Climate Change and Developmental Economies. Encyclopedia of GIS 2017: 188 - [r4]Hayden Henderson, Laura Blumenfeld, Allison Traylor, Udit Bhatia, Devashish Kumar, Evan Kodra, Auroop R. Ganguly:
Climate Extremes and Informing Adaptation. Encyclopedia of GIS 2017: 196-206 - [r3]Udit Bhatia, Allison Traylor, Catherine Moskos, Laura Blumenfeld, Lindsey Bressler, Tyler Hall, Rachael Heiss, Kevin D. Clark, Nan Deng, Devashish Kumar, Evan Kodra, Stephen E. Flynn, Haris N. Koutsopoulos, Jerome F. Hajjar, Auroop R. Ganguly:
Climate Hazards and Critical Infrastructures Resilience. Encyclopedia of GIS 2017: 206-216 - [r2]Catherine Moskos, Hayden Henderson, Lindsey Bressler, Udit Bhatia, Devashish Kumar, Evan Kodra, Auroop R. Ganguly:
Informing Climate Adaptation with Earth System Models and Big Data. Encyclopedia of GIS 2017: 1050-1054 - [i2]Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly:
DeepSD: Generating High Resolution Climate Change Projections through Single Image Super-Resolution. CoRR abs/1703.03126 (2017) - 2016
- [i1]Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar:
Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR abs/1612.08544 (2016) - 2015
- [j16]Auroop R. Ganguly, Devashish Kumar, Poulomi Ganguli, Geoffrey Short, James Klausner:
Climate Adaptation Informatics: Water Stress on Power Production. Comput. Sci. Eng. 17(6): 53-60 (2015) - [j15]Debasish Das, Auroop R. Ganguly, Zoran Obradovic:
A Bayesian Sparse Generalized Linear Model With an Application to Multiscale Covariate Discovery for Observed Rainfall Extremes Over the United States. IEEE Trans. Geosci. Remote. Sens. 53(12): 6689-6702 (2015) - 2014
- [j14]James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova:
Theory-Guided Data Science for Climate Change. Computer 47(11): 74-78 (2014) - 2013
- [j13]Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi:
A graph-based approach to find teleconnections in climate data. Stat. Anal. Data Min. 6(3): 158-179 (2013) - [p1]Auroop R. Ganguly, Joseph Whitmeyer, Olufemi A. Omitaomu, Peter Brecke, Mirsad Hadzikadic, Paul Gilman, Moutaz Khouja, Steven J. Fernandez, Christopher N. Eichelberger, Thom McLean, Cathy Jiao, Erin Middleton, Ted Carmichael, Amar Saric, Min Sun:
Towards a Characterization and Systematic Evaluation Framework for Theories and Models of Human, Social, Behavioral, and Cultural Processes within Agent-Based Models. Managing Complexity 2013: 93-136 - 2012
- [j12]Esther S. Parish, Evan Kodra, Karsten Steinhaeuser, Auroop R. Ganguly:
Estimating future global per capita water availability based on changes in climate and population. Comput. Geosci. 42: 79-86 (2012) - [c19]Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly:
Mining time-lagged relationships in spatio-temporal climate data. CIDU 2012: 130-135 - [c18]Debasish Das, Evan Kodra, Zoran Obradovic, Auroop R. Ganguly:
Mining Extremes: Severe Rainfall and Climate Change. ECAI 2012: 899-900 - [c17]Ranga Raju Vatsavai, Auroop R. Ganguly, Varun Chandola, Anthony Stefanidis, Scott Klasky, Shashi Shekhar:
Spatiotemporal data mining in the era of big spatial data: algorithms and applications. BigSpatial@SIGSPATIAL 2012: 1-10 - [c16]Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic:
Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. IGARSS 2012: 1948-1951 - [c15]Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly:
Sparse Group Lasso: Consistency and Climate Applications. SDM 2012: 47-58 - 2011
- [j11]Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
Complex networks as a unified framework for descriptive analysis and predictive modeling in climate science. Stat. Anal. Data Min. 4(5): 497-511 (2011) - [c14]Alex Pelan, Karsten Steinhaeuser, Nitesh V. Chawla, Dilkushi A. de Alwis Pitts, Auroop R. Ganguly:
Empirical comparison of correlation measures and pruning levels in complex networks representing the global climate system. CIDM 2011: 239-245 - [c13]Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar:
Data Guided Discovery of Dynamic Climate Dipoles. CIDU 2011: 30-44 - [c12]Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly:
Sparse Group Lasso for Regression on Land Climate Variables. ICDM Workshops 2011: 1-8 - [c11]Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
Comparing Predictive Power in Climate Data: Clustering Matters. SSTD 2011: 39-55 - [c10]Forrest M. Hoffman, Jay Walter Larson, Richard Tran Mills, Bjørn-Gustaf J. Brooks, Auroop R. Ganguly, William W. Hargrove, Jian Huang, Jitendra Kumar, Ranga Raju Vatsavai:
Data Mining in Earth System Science (DMESS 2011). ICCS 2011: 1450-1455 - [r1]Shiraj Khan, Auroop R. Ganguly, Amar Gupta:
Creating Knowledge for Business Decision Making. Encyclopedia of Knowledge Management 2011: 150-162 - 2010
- [j10]Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
An exploration of climate data using complex networks. SIGKDD Explor. 12(1): 25-32 (2010) - [j9]Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga Raju Vatsavai, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber:
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. 12(2): 50-53 (2010) - [c9]Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
Complex Networks In Climate Science: Progress, Opportunities And Challenges. CIDU 2010: 16-26 - [c8]Caitlin Race, Michael S. Steinbach, Auroop R. Ganguly, Fredrick H. M. Semazzi, Vipin Kumar:
A Knowledge Discovery Strategy for Relating Sea Surface Temperatures to Frequencies of Tropical Storms and Generating Predictions of Hurricanes Under 21st-century Global Warming Scenarios. CIDU 2010: 204-212 - [e2]Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly:
Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers. Lecture Notes in Computer Science 5840, Springer 2010, ISBN 978-3-642-12518-8 [contents]
2000 – 2009
- 2009
- [j8]João Gama, Auroop R. Ganguly, Olufemi A. Omitaomu, Ranga Raju Vatsavai, Mohamed Medhat Gaber:
Knowledge discovery from data streams. Intell. Data Anal. 13(3): 403-404 (2009) - [j7]Amrudin Agovic, Arindam Banerjee, Auroop R. Ganguly, Vladimir Protopopescu:
Anomaly detection using manifold embedding and its applications in transportation corridors. Intell. Data Anal. 13(3): 435-455 (2009) - [j6]Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, João Gama, Mohamed Medhat Gaber:
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. 11(2): 84-87 (2009) - [j5]Olufemi A. Omitaomu, Auroop R. Ganguly, Bruce W. Patton, Vladimir A. Protopopescu:
Anomaly Detection in Radiation Sensor Data With Application to Transportation Security. IEEE Trans. Intell. Transp. Syst. 10(2): 324-334 (2009) - [c7]Auroop R. Ganguly, Karsten Steinhaeuser, Alexandre Sorokine, Esther S. Parish, Shih-Chieh Kao, Marcia L. Branstetter:
Geographic analysis & visualization of climate extremes for the Quadrennial Defense Review. GIS 2009: 542-543 - [c6]David Erickson, Jamison Daniel, Melissa R. Allen, Auroop R. Ganguly, Forrest M. Hoffman, Steven Pawson, Lesley Ott, Eric Neilson:
Data Mining Geophysical Content from Satellites and Global Climate Models. ICDM Workshops 2009: 214-216 - [c5]Shih-Chieh Kao, Auroop R. Ganguly, Karsten Steinhaeuser:
Motivating Complex Dependence Structures in Data Mining: A Case Study with Anomaly Detection in Climate. ICDM Workshops 2009: 223-230 - [c4]Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. Ganguly:
An exploration of climate data using complex networks. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 23-31 - [e1]Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber:
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-668-7 [contents] - 2008
- [j4]Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly:
Knowledge discovery from sensor data (SensorKDD). SIGKDD Explor. 10(2): 68-73 (2008) - [c3]Auroop R. Ganguly, Karsten Steinhaeuser:
Data Mining for Climate Change and Impacts. ICDM Workshops 2008: 385-394 - [c2]Yi Fang, Olufemi A. Omitaomu, Auroop R. Ganguly:
Incremental Anomaly Detection Approach for Characterizing Unusual Profiles. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 190-202 - 2007
- [j3]Amar Gupta, Satwik Seshasai, Sourav Mukherji, Auroop R. Ganguly:
Offshoring: The Transition From Economic Drivers Toward Strategic Global Partnership and 24-Hour Knowledge Factory. J. Electron. Commer. Organ. 5(2): 1-23 (2007) - 2006
- [c1]Yi Fang, Auroop R. Ganguly, Nagendra Singh, Veeraraghavan Vijayaraj, Neal Feierabend, David T. Potere:
Online change detection: Monitoring land cover from remotely sensed data. ICDM Workshops 2006: 626-631 - 2002
- [j2]Auroop R. Ganguly:
A hybrid approach to improving rainfall forecasts. Comput. Sci. Eng. 4(4): 14-21 (2002)
1990 – 1999
- 1999
- [j1]Constantino Carlos Reyes-Aldasoro, Auroop R. Ganguly, G. Lemus, Amar Gupta:
A hybrid model based on dynamic programming, neural networks, and surrogate value for inventory optimisation applications. J. Oper. Res. Soc. 50(1): 85-94 (1999)
Coauthor Index
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