Peer Reviewed Journal Publications
[J26] Wei, Z., and Mukherjee, S.⋆ (2024). ”An integrated approach to analyze equitable access to food stores under disasters from human mobility patterns”, Risk Analysis (Wiley, IF: 4.3); [Link]
[J25] Hunt, K., Behlendorf, B., Wang, S.,Mukherjee, S., and Zhuang, J. (2024). “Near-repeat Terrorism: Identifying and Analyzing the Spatiotemporal Attack Patterns of Major Terrorist Organizations”,Expert Systems With Applications (Elsevier, IF: 8.67); Volume 249, Part B, 1 September 2024, 123712. [Link]
[J24] Wei, Z., and Mukherjee, S.⋆ (2024). ”Analyzing and forecasting service demands using human mobility data: A two-stage predictive framework with decomposition and multivariate analysis”, Expert Systems With Applications (Elsevier, IF: 8.67); Volume 238, Part B, 15 March 2024, 121698. [Link]
[J23] Ganguly, P.; and Mukherjee, S.⋆ (2023). “A Simulation-based Hybrid Generalized Framework to Model Vulnerability of Interdependent Critical Infrastructure Systems Under Incomplete Information”, Computer-Aided Civil and Infrastructure Engineering (Wiley, IF 11.7); April 2023; pp. 1–23. [Link].
[J22] Wei, Z.; and Mukherjee, S.⋆ (2023). “Examining Income Segregation within Activity Spaces Under Natural Disaster Using Dynamic Mobility Network”, Sustainable Cities and Society (Elsevier, IF 10.696); Volume 91, April 2023, 104408; [Link].
[J21] Mukherjee, S.⋆, Shucard, J., Rintamaki, L., Wei, Z., Carlasare, L., and Sinsky, C. (2022). “A statistical learning approach to evaluate factors associated with post-traumatic stress symptoms in physicians: Insights from the COVID-19 pandemic”, IEEE Access (IEEE, IF 3.367); 10, 114434-114454; [Link] .
[J20] Wei, Z., Narin, A. B., and Mukherjee, S.⋆ (2022). “Multidimensional population health modeling: A data-driven multivariate statistical learning approach”, IEEE Access (IEEE, IF 3.367), 10, 22737-22755; [Link] .
[J19] Obringer, R.; Nateghi, R.; Maia-Silva, D.; Mukherjee, S.; CR, Vineeth.; McRoberts, DB; and Kumar, R. (2021) “Implications of increasing household air conditioning use across the United States under a warming climate”, Earth’s Future (American Geophysical Union Publisher, IF 8.85); [Link]
[J18] Mukherjee, S.⋆; and Wei, Z. (2021). “Suicide disparities across urban and suburban areas in the U.S.: A comparative assessment of socio-environmental factors using a data-driven predictive approach”, PLoS ONE 16(11): e0258824 (Public Library of Science, IF 3.752); [Link]
[J17] Masoudvaziri, N., Ganguly, P., Mukherjee, S.⋆, Sun, K. (2021) ”Impact of geophysical and anthropogenic factors on wildfire size: A spatiotemporal data-driven risk assessment approach using statistical learning”, Stochastic Environmental Research and Risk Assessment journal (Elsevier, IF 3.97); [Link] .
[J16] Mukherjee, S.⋆; Boamah, E.F.; Ganguly, P.; and Botchwey, N.; (2021) “Towards resilient mental wellbeing in cities: A data-driven learning from mental health-environment nexus”, Nature Scientific Reports, 11, 17548 (2021) (Nature Publisher, IF 4.996); [Link].
[J15] Fontecha, J.E.; Agarwal, P.; Torres, M.N.; Mukherjee, S.⋆, Walteros, J., and Rodriguez, J.P., (2021). “A two-stage data-driven spatiotemporal analysis to predict failure-risk of urban sewer systems leveraging machine learning algorithms”, Risk Analysis (Wiley, IF 4.302); [Link]
[J14] Ganguly, P.; and Mukherjee, S.⋆ (2021). “A Multifaceted Risk Assessment Approach Using Statistical Learning to Evaluate Socio-environmental Factors Associated with Regional Felony and Misdemeanor Rates”, Physica A: Statistical Mechanics and its Applications (Elsevier Publisher, IF 3.263); Volume 574, 15 July 2021, 125984; [Link]
[J13] Wei, Z. and Mukherjee, S.⋆ (2020). “Health-behaviors associated with the growing risk of adolescent suicide attempts: A data-driven cross-sectional study”, Journal of Health Promotion Research (Sage Publisher, IF 3.028), PMID: 33297721; [Link]
[J12] Obringer, R., Mukherjee, S.⋆, and Nateghi, R. (2020). “Evaluating climate sensitivity of coupled electricity-natural gas demands using a multivariate framework”, Applied Energy (Elsevier, IF 11.446); Volume 262, 15 March 2020, 114419; [Link]
[J11] Alipour, P., Mukherjee, S.⋆, and Nateghi, R. (2019). “Assessing climate sensitivity of peak electricity load for resilient power systems planning and operation: A study applied to the Texas region”, Energy (Elsevier, IF 8.857); Volume 185, pp 1143-1153; [Link]
[J10] Mukherjee, S.⋆, Vineeth, CR., and Nateghi, R. (2019). ”Evaluating regional climate-electricity demand nexus: A composite Bayesian predictive framework”, Applied Energy (Elsevier, IF 11.446); Volume 235, 1 February 2019, Pages 1561-1582; [Link]
[J9] Raymond, L., Gotham, D., McClain, W., Mukherjee, S., Nateghi, R., Preckel, P., Schubert, P. J., Singh, S., Wachs, L., (2019). “Projected Climate Change Impacts on Indiana’s Energy Demand and Supply”, Climatic Change (Springer, IF 6.059); ISSN 1573-1480 (online), 0165-0009 (print); [Link]
[J8] Mukherjee, S.⋆ and Nateghi, R. (2019). “A data-driven approach to assess supply inadequacy risks related to climate-sensitive electricity demand”, Risk Analysis (Wiley, IF 4.302); Volume 39 Issue 3, pp. 673-694; [Link] (Best Paper Award)
[J7] Mukherjee, S.⋆, Nateghi, R. and Hastak, M. (2018). “Data on Severe Weather-Induced Major Power Outage Risks in the U.S.”, Data in Brief (DIB), (Elsevier, IF 1.38), Vol 19 (2018) pp. 2079–2083; [Link]
[J6] Mukherjee, S.⋆, Nateghi, R. and Hastak, M. (2018). “A Multi-Hazard Approach to Assess Severe Weather-Induced Major Power Outage Risks in the U.S.”, Reliability Engineering and System Safety (Elsevier, IF 7.247); Volume 175, July 2018, pp. 283-305; [Link]
[J5] Mukherjee, S.⋆, and Hastak, M. (2017). “A novel methodological approach to estimate the impact of natural disaster on country-level economic growth”, International Journal of Disaster Risk Science (Springer, IF 4.5); pp 1–12; [Link]
[J4] Nateghi, R. and Mukherjee, S.⋆ (2017). “A multi-paradigm framework to assess the impacts of climate change on end-use energy demand”, PLoS ONE (Public Library of Science, IF 3.752), 12(11): e0188033; [Link]
[J3] Mukherjee, S.⋆ and Nateghi, R. (2017). “Climate sensitivity of end-use electricity consumption in the built environment: An application to the state of Florida, United States”, Energy (Elsevier, IF 8.857), Vol 128, pp. 688-700; [Link]
[J2] Mukherjee, S.⋆ and Nateghi, R. (2017). “Climate, Weather, Socio-economic and Electricity Usage Data for the Residential and Commercial Sectors in FL, U.S.”, Data in Brief (Elsevier, IF 1.38), Vol 13, pp 193-195; [Link]
[J1] Mukherjee, S.⋆, Halligan, J., and Hastak, M. (2016). “Assessment of major causes: Nuclear power plant disasters since 1950”, International Journal of Disaster Resilience in the Built Environment (Emerald Group of Publishing, IF 1.9), Vol 7, Issue 5, pp. 521-543; [Link]
[1] Ganguly, P., Mukherjee, S., Walteros, J.⋆, and Herrera, L. (2023). ”A Three Level Framework to Improve Resiliency of Electricity Distribution System Under Wildfire Scenario: A Worst Case Analysis”, European Journal of Operational Research (EJOR) (Elsevier, IF: 6.4) [under 2nd review]
[2] Jose, E., Mukherjee, S.⋆, and Swaminathan, J. (2024) “Evaluating socioeconomic factors for crime against women in developing countries: A data-centric statistical learning approach”, Socio-Economic Planning Sciences (Elsevier, IF: 6.1) [under review]
[1] Ramirez-Rios, D., Mukherjee, S., Soto-Vergel, A., Brennan, J., Hou, H., and Ganguly, P. (2023).“Disaster Impacts on Critical Infrastructures: A Framework based on Qualitative and Quantitative Analyses of Fieldwork Data after Natural Hazards”.
[2] Ganguly, P., Sharma, Y., Mukherjee, S.⋆ (2023). “A Deep Learning Based Wildfire-induced Infrastructure Failure Risk Map and Validating their Feasibility Using Generative Adversarial Network Algorithm”.
[3] Ganguly, P., and Mukherjee, S.⋆ (2023). “A transformer-based neural network architecture for multivariate time series prediction with spatiotemporal correlation”.
[4] Ganguly, P., Mukherjee, S.⋆, Ramirez-Rios, D., Walteros, J. (2023). “Towards Equity Driven Resilience Enhancement of Interdependent Infrastructure System: A Case Study for Hurricane Fiona”.
Book Chapters
[B1] Mukherjee, S.Φ and Obringer, R.Φ (2022). “Short-term and Long-term Electricity Demand Forecasting Under Climate Change for Efficient Grid Management”; Advancing the Resilience of the Power Grid under a Changing Climate, edited by Roshanak Nateghi and Abdollah Shafieezadeh, Wiley-IEEE Press Book (under review) [Φ: co-first authors]
Database Publications
[D2] Ramirez-Rios, D., S. Mukherjee, E. Gonzalez Ponzon, P. Ganguly, J. Brennan, A. Soto Vergel, H. Hou. (2024) ”In-depth Interviews with Stakeholders”, in RAPID: Exploring Impacts of Cascading Failure and Recovery Efforts of Interdependent Critical Infrastructure in Socially Vulnerable Puerto Rican Communities After Hurricane Fiona. DesignSafe-CI. [Link]
[D1] Ramirez-Rios, D., S. Mukherjee, E. Gonzalez Ponzon, P. Ganguly, J. Brennan, A. Soto Vergel, H. Hou. (2024) ”Community Focus Group Interviews”, in RAPID: Exploring Impacts of Cascading Failure and Recovery Efforts of Interdependent Critical Infrastructure in Socially Vulnerable Puerto Rican Communities After Hurricane Fiona. DesignSafe-CI. [Link]
Peer Reviewed Conference Proceedings & Presentations
[C21] Roy, P., Mukherjee, S.⋆, and Sankaran, P. (2025) “BLAZE TRACK: Developing Dynamic Wildfire Risk Maps Leveraging MODIS Satellite Imagery and Advanced AI Algorithms”, Proceedings of the IISE Annual Conference & Expo 2025, Atlanta, GA; May 31-June 3, 2025 (abstract submitted)
[C20] Roy, P. and Mukherjee, S.⋆ (2025) “Comparative Assessment of Inequities in Post-Wildfire Resource Allocation Across the Southwestern US States”, European Conference On Safety And Reliability (ESREL) and Society for Risk Analysis Europe (SRA-E), Stavanger, Norway; June 15-19, 2025 (abstract accepted)
[C19] Wei, Z., Mukherjee, S.⋆, and Chen, J.† (2023) “Forecasting spatiotemporal variations in emergency shelter demand leveraging human mobility data: A data-centric multivariate framework”, Proceedings of the IISE Annual Conference & Expo 2022, New Orleans, LA; May 19-23, 2023 ( secured the 2nd Prizes in both Best Track Paper and Best Student Paper competitions by the Work Systems Track)
[C18] Wei, Z., and Mukherjee, S.⋆ (2022) “Mapping Human Mobility Variation and Identifying Critical Services During a Disaster Using Dynamic Mobility Network”, Proceedings of the IISE Annual Conference & Expo 2022, Seattle, WA; May 22-25, 2022 ( selected as the best student paper finalist by the Data Analytics & Information Systems (DAIS) Track); [Link]
[C17] Ganguly, P., and Mukherjee, S.⋆ (2021). “Understanding Wildfire Induced Risk on Interconnected Infrastructure Systems Using a Bow-Tie Model and Self Organizing Maps”, Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021), France Angers, September 19-23, 2021; [Link]
[C16] Mukherjee, S.⋆; Botchwey, N.; Boamah, E.F. (2020) “Towards resilient mental wellbeing in cities: A data-driven learning from mental health-environment nexus”, Proceedings of the 30th European Safety and Reliability Conference (ESREL 2020), Venice Italy, November 1-6, 2020; [Link]
[C15] Masoudvaziri, N., Ganguly, P. , Mukherjee, S.⋆, Sun, K. (2020) “An integrated risk-informed decision framework to minimize wildfires-induced power outage risks”, Proceedings of the 30th European Safety and Reliability Conference (ESREL 2020), Venice Italy, November 1-6, 2020; [Link]
[C14] Yoon, S.⋆, Mukherjee, S., and Hastak, M. (2019). ”Evaluating natural hazard-induced electricity sector inoperability leveraging data-driven statistical learning approach”, Proceedings of the Canadian Society for Civil Engineers (CSCE) 2019 General Conference, June 12-15, 2019; [Link]
[C13] Mukherjee, S.⋆, and Nateghi, R. (2017). “Estimating Climate—Demand Nexus to Support Long-term Adequacy Planning in the Energy Sector”, Proceedings of the IEEE Power and Energy Society General Meeting at Chicago, 2017, July 16-20, 2017 [Paper acceptance rate: 10%]: Selected among the best conference papers; [Link]
[C12] Mukherjee, S.⋆, Yoon, S., and Hastak, M. (2017). “Implementing Intelligent Planning Unit (IPU) Concept for Optimized Electricity Demand Management in the Complex Built Environment”, Proceedings of the 6th CSCE/ASCE/CRC International Construction Specialty Conference 2017; May 31 – June 3, 2017, Vancouver, Canada; [Link]
[C11] Mukherjee, S.⋆ and Hastak, M. (2017). “Optimal selection of transmission line rehabilitation strategies to minimize power transmission costs”, Proceedings of the PMI Project Management Research & Academic Conference 2017; March 2-4 2017, Indian Institute of Technology, Delhi, India: Awarded Best Jury Award
[C10] Kang, K.⋆, Mukherjee, S., and Hastak, M. (2017). “A Framework for Analyzing Multidimensional Infrastructure Supply Chain and Business Continuity Plans to Enhance City-Level Resilience” Proceedings of the 10th Anniversary Homeland Defense/Security Education Summit, March 2017, Arlington VA; [Link]
[C9] Mukherjee, S.⋆, and Hastak, M. (2016). “Risk of natural disasters on the economic growth of a country: A random parameter panel-data analysis” Proceedings of the 12th International Conference of International Institute for Infrastructure Resilience and Reconstruction, IIIRR/011, August 5–7, Peradeniya, Sri Lanka, pp. 29-37; [Link]
[C8] Mukherjee, S.⋆, and Hastak, M. (2016). “Sustainability in the context of resilience enhancement and capacity building strategies”, Proceedings of the 6th International Conference on Building Resilience, September 7–9, 2016, Auckland, NZ; [Link]
[C7] Ji, R., Liu, K., Nantung, T., Mukherjee, S. and Hastak, M. (2016). “Numerical modeling for sealed and unsealed pavement drainage performance: A case study on US-24”, Proceedings of the Transportation Research Board 95th Annual Meeting, Washington D.C., January 10-14, 2016; [Link]
[C6] Mukherjee, S.⋆, and Hastak, M. (2016). “Public Utility Commissions to Foster Resilience Investment in Power Grid Infrastructure.” Procedia – Social and Behavioral Sciences, Volume 218, May 9, 2016, Pages 5-12; [Link]
[C5] Mukherjee, S.⋆, Hassan, M.E. and Shafaat, A. (2015). “Developing a system-of-system framework for an integrated transportation system using system dynamics”. Proceedings of the 5th International / 11th Construction Specialty Conference (CSCE), June 8-10, 2015. (1323-1332); Vancouver, British Columbia; [Link]
[C4] Mukherjee, S.⋆, Hastak, M., and Halligan, J. (2014). “Compare and contrast major nuclear power plant disasters: Lessons learned from the past”. Proceedings of the 10th International Conference of the International Institute for Infrastructure Resilience and Reconstruction (I3R2); May 20-22 2014. (163-169), Purdue University, West Lafayette, Indiana; [Link]
[C3] Mukherjee, S.⋆, Shane, J., and Strong, K. (2012). “Safety risk analysis and proposing risk mitigation strategies for operations and maintenance activities in highways”, Proceedings of the Construction Research Congress 2012, Purdue University, West Lafayette, IN; [Link]
[C2] Mukherjee, S.⋆, Shane, J.S., and Strong, K.S. (2012). “Identification and assessment of risks involved in operations and maintenance activities on highways – Crash data analysis and development of severity-frequency lists”, Proceedings of the Transportation Research Board 91st Annual Meeting, Washington D.C.; [Link]
[C1] Mukherjee, S.⋆, Shane, J.S., and Strong, K.C. (2011). “Implementing an enterprise project management system in a large, multidisciplinary engineering consulting firm”, Proceedings of the Engineering Project Organization Conference (EPOC 2011), Estes Park, CO; [Link]
Conference Oral Presentations
[O54] Roy, P. and Mukherjee, S.⋆ (2024) “Assessing inequities and disparities in the post-wildfire recovery of socially vulnerable WUI communities”, Society for Risk Analysis (SRA) Annual Meeting, December 8-12, 2024, Austin TX.
[O53] Roy, P., Mukherjee, S.⋆, Ramirez-Rios, D., Soto-vergel, A., Brennan, J., Ganguly, P., Hou, H. (2024) “Evaluating Impacts of Hurricane Fiona across Puerto Rico through a Hybrid Qualitative Approach leveraging AI”, Society for Risk Analysis (SRA) Annual Meeting, December 8-12, 2024, Austin TX.
[O52] Wei, Z. and Mukherjee, S.⋆ (2024) “Improving equitable access to critical facilities: insights from data-driven human mobility modeling”, Society for Risk Analysis (SRA) Annual Meeting, December 8-12, 2024, Austin TX.
[O51] Ramirez-Rios, D., Mukherjee, S., Soto-vergel, A., Brennan, J., Hou, H. and Ganguly, P. (2024) “A Disaster Impacts Framework from Fieldwork Data to Assess Critical Infrastructure Impacts on Communities”, 34th Annual Conference Production and Operations Management Society, April 25-29, 2024, Minneapolis, MN.
[O50] Roy, P., and Mukherjee, S.⋆, (2024) “Assessing Inequity in Wildfire Resource Allocation Using a Data-Driven Approach”, Natural Hazards Workshop, Researchers Meeting July 17-18, 2024, Broomfield, CO.
[O49] Ramirez-Rios, D., Mukherjee, S., Soto-vergel, A., Brennan, J., Hou, H. and Ganguly, P.Ψ (2024) “Synthesizing post-disaster fieldwork data: A comprehensive framework integrating qualitative and quantitative analyses”, Natural Hazards Workshop, Researchers Meeting July 17-18, 2024, Broomfield, CO.
[O48] Clark, S., Mukherjee, S.⋆, Walteros, J., and Yeo, J. (2024) “Social Burden of Wildfire-Induced Critical Infrastructure Service Disruptions on Disadvantaged Communities: The Case of Wildfire in the Western U.S.”, Natural Hazards Workshop, Researchers Meeting July 17-18, 2024, Broomfield, CO. [O47] Umar, F.⊗ and Mukherjee, S.⋆ (2023) “Data-Driven Analysis of Equity in Wildfire Resource Allocation”, Society for Risk Analysis (SRA) Annual Meeting, December 10-14, 2023, Washington D.C. (SRA Student Best Paper Award from the SRA Justice, Equity and Risk Specialty Group (JERSG))
[O46] Wei, Z. and Mukherjee, S.⋆ (2023) “Examining disparities in access to critical facilities using fine grained human mobility network”, Society for Risk Analysis (SRA) Annual Meeting, December 1014, 2023, Washington D.C. (SRA Student Best Paper Award from the Engineering and Infrastructure Specialty Group (EISG))
[O45] Jose, E. and Mukherjee, S.⋆ (2023) “Evaluating socioeconomic factors for crime against women in developing countries using a data-centric statistical learning approach”, Society for Risk Analysis (SRA) Annual Meeting, December 10-14, 2023, Washington D.C.
[O44] Wei, Z. and Mukherjee, S.⋆ (2023) “A Two-Stage Spatiotemporal Analysis to Forecast Mobility Patterns at Critical Facilities”, INFORMS Annual Meeting, October 15-18, 2023, Phoenix AZ.
[O43] Ganguly, P., Mukherjee, S.⋆, and Walteros, J. (2023) “Designing a Resilient Power Grid System through Optimal Public Safety Power Shutoffs and Microgrid Formation under Wildfire Scenarios”, INFORMS Annual Meeting, October 15-18, 2023, Phoenix AZ.
[O42] Mukherjee, S.⋆, and Ramirez-Rios, D. (2023) “Advancing equity-focused post-disaster community recovery using a human-centered uncertainty-informed decision framework”, Natural Hazards Center Research Meeting, July 12-13, 2023, Boulder CO.
[O41] Ganguly, P., Mukherjee, S.⋆, and Walteros, J. (2022) “Designing a Resilient Power Grid System through Optimal Public Safety Power Shutoffs and Microgrid Formation under Wildfire Scenarios”, International Society for Risk Analysis General Meeting, December 4-8, 2022, Tampa FL.
[O40] Ganguly, P.; and Mukherjee, S.⋆ (2022) “A Hierarchical Data-Driven Optimization Framework to Enhance Power Grid Infrastructure Resilience Under Compound Effects of Climate Change and Extreme Weather Events”, International Society for Risk Analysis General Meeting, December 4-8, 2022, Tampa FL
[O39] Wei, Z., and Mukherjee, S.⋆ (2022) “Advancing Disaster Preparedness: A Data-Driven Spatiotemporal Analysis to Forecast Mobility Patterns at Critical Facilities”, International Society for Risk Analysis General Meeting, December 4-8, 2022, Tampa FL
[O38] Wei, Z., and Mukherjee, S.⋆ (2022) “Understanding neighborhood-level socioeconomic disparities associated with access to essential services during a disaster using dynamic mobility networks”, International Society for Risk Analysis General Meeting, December 4-8, 2022, Tampa FL
[O37] Wei, Z., and Mukherjee, S.⋆ (2022). “A Data-Centric Approach to Model Human Behavior Dynamics Under Extreme Weather Events Using Large-Scale Mobility Data”, 2022 INFORMS Annual Meeting Conference, Indianapolis IN, October 16-19, 2022
[O36] Ganguly, P., and Mukherjee, S.⋆ (2021) “Modeling Wildfire-induced Failure Risk of Interdependent Infrastructure Systems: A Hybrid Approach Using a Bow-Tie Model and Bayesian Network”, International Society for Risk Analysis General Meeting, December 5-9, 2021
[O35] Wei, Z., and Mukherjee, S.⋆ (2021) “Assessing community resilience: A human mobility perspective”, International Society for Risk Analysis General Meeting, December 5-9, 2021
[O34] Mukherjee, S.⋆, Shucard, J., Rintamaki, L., Wei, Z.Ψ, Carlasare, L., and Sinsky, C. (2021). “Investigating posttraumatic stress disorder (PTSD) the mental wellbeing among US physicians during COVID19: a data-centric approach based on survey data”, International Society for Risk Analysis General Meeting, December 5-9, 2021 (Best Student Paper Award from Occupational Health and Safety Specialty Group (OHSSG) SRA)
[O33] Ganguly, P., and Mukherjee, S.⋆ (2021) “A Geo-AI Based Framework for Modeling Wildfire-induced Failure Risk of Electric Power Grid”, International Society for Risk Analysis General Meeting, December 5-9, 2021
[O32] Mukherjee, S.⋆; Boamah, E.F.; Ganguly, P.; and Botchwey, N.; (2021) “Insights Into The Community Mental Health—Built Environment Nexus: A Multi-level Scenario-based Predictive Analytics Framework”, INFORMS Healthcare Conference 2021, Indianapolis IN; July 21-23, 2021
[O31] Mukherjee, S.⋆; Rintamaki, L.; Shucard, J.; Wei, Z.; Carlasare, L.; Sinsky, C. (2021) “A Novel Data-driven Approach to Evaluate the Risk of Post-traumatic Stress Disorder in the US Physicians During COVID-19 Pandemic”, INFORMS Healthcare Conference 2021, Indianapolis IN; July 21-23, 2021
[O30] Mukherjee, S.⋆; Ganguly, P., Boamah, E.F., and Botchwey, N. (2020). “An Interdisciplinary Approach to Assess Community Mental Wellbeing of Communities in Cities Leveraging Statistical Learning”, International Society for Risk Analysis General Meeting, December 13-17, 2020
[O29] Obringer, R., Silva, D.M., Nateghi, R., Mukherjee, S., Vineeth CR.; McRoberts, DB; Kumar, R. (2020). “Characterizing the impact of climate change on household air conditioning use across the United States”, International Society for Risk Analysis General Meeting, December 13-17, 2020
[O28] Obringer, R., Mukherjee, S.⋆, Nateghi, R. (2020). “Modeling Sectoral Electricity—Natural Gas Demand and Climate Nexus: A Data-driven Multivariate Predictive Framework”, International Society for Risk Analysis General Meeting, December 13-17, 2020
[O27] Narin, A.B., Wei, Z., and Mukherjee, S.⋆ (2020). “A Robust Data-Driven Framework to Evaluate and Predict County Health Rankings Leveraging Statistical Learning”, International Society for Risk Analysis General Meeting, December 13-17, 2020
[O26] Wei, Z., and Mukherjee, S.⋆ (2020). “A Two-Stage Dynamic Disease Transmission Model Accounting for Behavioral and Epidemiological Heterogeneities in Populations”, International Society for Risk Analysis General Meeting, December 13-17, 2020
[O25] Ganguly, P., and Mukherjee, S.⋆ (2020). “A Bi-Level Scheduling and Allocation of Frontline Health care Workers (FHWs) During a Pandemic to Reduce the Work-Related Stress”, International Society for Risk Analysis General Meeting, December 13-17, 2020
[O24] Gupta, A., Wei, Z., and Mukherjee, S.⋆ (2020). “Investigating People’s Reactions Towards Government Policies During COVID-19 Using Sentiment Analysis of Twitter Data”, International Society for Risk Analysis General Meeting, December 13-17, 2020
[O23] Mukherjee, S.⋆ (2020) “Studying the Associations Between Community Mental Health Risk, Built Environment And Socioeconomic Factors”, 2020 INFORMS Annual Meeting Conference, November 8-11, 2020
[O22] Obringer, R.; Maia-Silva, D.; Nateghi, R.; Mukherjee, S.⋆; and Kumar, R. ”Looking Ahead: How Will Household Air Conditioning Use Be Affected By Climate Change”, 2020 INFORMS Annual Meeting Conference (virtual), November 8-11, 2020
[O21] Ganguly, P., and Mukherjee, S.⋆ (2020) “Understanding The Wildfire Induced Risk To Interdependent Critical Infrastructures Using Pixel Based Analysis With Probabilistic Graphical Models”, 2020 INFORMS Annual Meeting Conference, November 8-11, 2020
[O20] Ganguly, P., and Mukherjee, S.⋆, Kumar, A.S. (2020) “Assessing The Factors Causing Physicians Burnout During COVID-19 Pandemic Using A Survey Based Approach”, 2020 INFORMS Annual Meeting Conference, November 8-11, 2020
[O19] Fontecha, J.E., Agarwal, P., Torres, M.N., Mukherjee, S.⋆, Walteros, J., and Rodriguez, J.P., (2020). “A Two-stage Data-driven Risk Prediction Framework Leveraging Machine Learning And 2D Spacetime Analysis: A Case Study For Sewer System Failures In Bogota”, 2020 INFORMS Annual Meeting Conference, November 8-11, 2020
[O18] Fontecha, J.E., Agarwal, P., Torres, M.N., Mukherjee, S.⋆, Walteros, J., and Rodriguez, J.P., (2020). “A two-stage data-driven spatiotemporal analysis to predict failure-risk of urban sewer systems”, I Simposio Industria 4.0. Universidad del Sinu, Cartagena, Colombia. (September 1, 2020)´
[O17] Obringer, R., Mukherjee, S.⋆, and Nateghi, R. (2020) “Modeling Sectoral Electricity—Natural Gas Demand and Climate Nexus: A Data-driven Multivariate Predictive Framework”, Applied Energy Symposium: MIT A+B, Aug 12-14 2020; Cambridge, MA
[O16] Ganguly, P., and Mukherjee, S.⋆ (2019). “Evaluating factors affecting crime rates in the state of New York: A county-level analysis”, International Society for Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
[O15] Masoudvaziri, N., Mukherjee, S.⋆, Sabbaghtorkan, M., and Sun, K. (2019). “Investigating the risk factors causing widespread wildfires: a county level study applied to the state of California”, International Society for Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
[O14] Fontecha, J.E., Agarwal, P., Torres, M.N., Rodriguez, J.P., Mukherjee, S.⋆ (2019). “Prediction and Evaluation of Sediment- and Infrastructure-related Failure Risks on Bogota’s Sewer System: A spa-´ tiotemporal analysis”, International Society for Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
[O13] Aziz, R.A., Mahbub, N., Paul, H.K., Mukherjee, S.⋆, Zhuang, J. (2019). “A Spatial and Temporal Analysis of Impact of Climatic and Physical Factors on Bridge Health”, International Society for Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
[O12] Wei, Z., and Mukherjee, S.⋆ (2019). “Comparative assessment of the risk factors leading to suicide attempts among male and female youths: A predictive analytics approach”, International Society for Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
[O11] Obringer, R., Mukherjee, S.⋆, and Nateghi, R. (2019). ”Modeling the impact of climate change on the New York state energy consumption”, 2019 INFORMS Annual Meeting Conference, Seattle WA, October 20-23, 2019
[O10] Alipour, P., Mukherjee, S.⋆, Nateghi, R. (2019). “A Generalized Predictive Modeling Framework to Assess Climate Sensitivity of Peak Electricity Load”, 2019 INFORMS Annual Meeting Conference, Seattle WA, October 20-23, 2019
[O9] Ganguly, P., and Mukherjee, S.⋆ (2019). “Risk assessment framework to evaluate urban vs. rural crime rates leveraging data-driven predictive analytics”, The Second Conference on Risk Analysis, Decision Analysis, and Security, Buffalo/Niagara Falls, NY, USA; Jul 30–Aug 2, 2019
[O8] Worden, M.; Kopanon, A.; Mukherjee, S.⋆ (2019). “Comparative Analysis of Climate-induced Suicidal Rates among Urban and Rural Populations in the U.S.”, 2019 INFORMS Healthcare Conference, Cambridge MA, July 27-29, 2019
[O7] Wei, Z., Dave, S., Gohil, H., and Mukherjee, S.⋆ (2019). “A Data-driven Framework to Identify and Assess the Risk Factors Leading to Suicide Ideation and Attempts Among Youths”, 2019 INFORMS Healthcare Conference, Cambridge MA, July 27-29, 2019
[O6] Mukherjee, S.⋆ (2019). ”A data-centric framework to evaluate climate-sensitivities of end-use energy demands”, IISE Annual Conference & Expo 2019, Orlando FL, May 18-21, 2019
[O5] Alipour, P., Mukherjee, S.⋆, and Nateghi, R. (2019). ”Evaluating climate models-induced uncertainties in projecting long-term regional energy demands”, IISE Annual Conference & Expo 2019, Orlando FL, May 18-21, 2019
[O4] Mukherjee, S.⋆ (2019). ”Leveraging data-driven predictive analysis to assess and compare the climate sensitivities of regional electricity and natural gas demands”, Engineering Sustainability 2019, Pittsburg PA, April 8, 2019
[O3] Mukherjee, S.⋆, CR, V., and Nateghi, R. (2018). ”A Comparative Analysis of Climate Sensitivities of High- and Moderate-Intensity Regional Electricity Demands”, International Society for Risk Analysis (SRA) 2018 Annual Meeting Conference, New Orleans LA, December 2-6, 2018
[O2] Alipour, P., Mukherjee, S.⋆ and Nateghi, R. (2018). ”Impact of climate model uncertainties in projecting long-term regional energy demand”, 2018 INFORMS Annual Meeting Conference, Phoenix AZ, November 4-7, 2018
[O1] Mukherjee, S.⋆, Nateghi, R. and Hastak, M. (2018). ”Modeling Risks of Extreme Weather Induced
Poster Presentations
[P12] Roy, P., Mukherjee, S., Ramirez-Rios, D., Soto-vergel, A., Brennan, J., Hou, H. and Ganguly, P. (2024) “Evaluating Impacts of Hurricane Fiona on Puerto Rican Communities Leveraging QuasiQualitative Approach”, Natural Hazards Workshop, Researchers Meeting July 17-18, 2024, Broomfield, CO.
[P11] Brennan, J., Ramirez-Rios, D., Mukherjee, S., Soto-Vergel, A., Hou, H., and Ganguly, P. (2024). “Infrastructure Failure Impacts on Socially Vulnerable Communities in Puerto Rico after Hurricane Fiona”, Natural Hazards Engineering Engineering Infrastructure (NHERI) Computational Symposium, Los Angeles, CA, USA; February 1-2, 2024
[P10] Pillai, P., Ganguly, P. and Mukherjee, S.⋆ (2022). “What is Energy Poverty? A Systematic Literature Review to Gain Insights”, Industrial and Systems Engineering Poster Competition, University at Buffalo (SUNY), Buffalo NY, USA; December 16, 2022
[P9] Wei, Z. and Mukherjee, S.⋆ (2022). “A Transformative Data-centric Framework to Assess Community Resilience to Natural Disasters Leveraging Large-scale Human Mobility Data”, 2022 IISE Doctoral Colloquium Poster Presentation, Seattle WA, USA; May 22, 2022
[P8] Wei, Z. and Mukherjee, S.⋆ (2022). “Formulating Dynamic Mobility Network for Disaster Management”, Industrial and Systems Engineering Poster Competition, University at Buffalo (SUNY), Buffalo NY, USA; February 9, 2022
[P7] Masoudvaziri, N., Ganguly, P., Mukherjee, S.⋆, Sun, K. (2020) “Fast prediction of wildfire spread: a surrogate to physics-based simulations”, International Society for Risk Analysis General Meeting, Austin TX, December 13-17, 2020
[P6] Wei, Z., and Mukherjee, S.⋆, (2020) “Socio-environmental Factors on Spatiotemporal Suicide Risk: A Data-driven Comparative Approach”, 2020 INFORMS Annual Meeting Conference, November 811, 2020
[P5] Rathi, K., Mulik, P., and Mukherjee, S.⋆ (2020) ”Towards enhancing grid reliability: A multi-time scale framework to forecast climate-induced electricity demand growth”, Applied Energy Symposium: MIT A+B, August 12-14 2020; Cambridge, MA
[P4] Narin, A.B.; Pandey, R.K.; Shirsat, A.; and Mukherjee, S.⋆. (2020) “Predicting the Number of OFF Periods Per Week for Parkinson’s Disease Leveraging Statistical Learning”, Industrial and Systems Engineering Poster Competition, University at Buffalo (SUNY), Buffalo NY, USA; February 14, 2020
[P3] Wei, Z., and Mukherjee, S.⋆ (2020). “Investigating the Factors of Gender Paradox in Adolescent Suicide Attempts”, Industrial and Systems Engineering Poster Competition, University at Buffalo (SUNY), Buffalo NY, USA; February 14th, 2020
[P2] Wei, Z., Dave, S., Gohil, H., and Mukherjee, S.⋆ (2019). “Data-informed Modeling to Analyze and Assess the Growing Risks of Suicide Attempts Among Youths”, The Second Conference on Risk Analysis, Decision Analysis, and Security, Buffalo/Niagara Falls, NY, USA; July 30–Aug 2, 2019
[P1] Mukherjee, S.⋆ and Nateghi, R. (2018). ”Modeling supply inadequacy risks in the regional electricity sector under climate change scenarios”, International Society for Risk Analysis (SRA) 2018 Annual Meeting Conference, New Orleans LA, December 2-6, 2018
Reports and Theses
[R4] Mukherjee, S. ”Towards a resilient grid: A risk-based decision analysis incorporating the impacts of the severe weather-induced power outages” Ph.D. Dissertation (2017)
[R3] Raymond, L.; Gotham, D.; McClain, W.; Mukherjee, S.; Nateghi, R.; Preckel, P.V.; Schubert, P.; Singh, S.; Wachs, L.; Widhalm, M.; and Dukes, J., ”Climate Change and Indiana’s Energy Sector: A Report from the Indiana Climate Change Impacts Assessment” (2019). Energy Reports. Paper 1; [Link]
[R2] Mukherjee, S. ”Identification, assessment and proposing mitigation strategies for the risks involved in operations and maintenance activities on highways-crash data analysis and development of integrated risk management model.” M.S. Thesis (2011)
[R1] Strong, K.C., Shane, J.S., Mukherjee, S., and Mathes, J. (2011). “Risk Mitigation Strategies for Operations and Maintenance Activities”, IHRB Project TR-627, Final report October 2011
Invited Talks and Seminar
[T21] Department of Energy (DOE) Cybersecurity and Technology Innovation Conference 2024, “Reimagining grid resilience through an equity-focused lens leveraging risk-science integrated decision making”, July 29th—Aug 1st, 2024, Dallas TX (Invited in the Next Generation Grid Use Cases: Risk Science for Grid Security and Resilience)
[T20] Society for Risk Analysis (SRA) Annual Meeting 2024, “Improving equitable access to critical facilities: insights from data-driven human mobility modeling”, December 8-12, 2024, Austin TX (Invited in Accessibility and Resilience Symposium)
[T19] Society for Risk Analysis (SRA) – Engineering and Infrastructure Specialty Group (EISG) Webinar, “Promoting Equitable Wildfire Resilience of Critical Infrastructure Systems Using a Human-centric Risk-informed Decision Framework”, April 5, 2024
[T18] Purdue University – School of Civil Engineering, “Advancing Equitable Climate Resilience of Interdependent Critical Infrastructure Systems under Deep Uncertainties”, March 8, 2024
[T17] University at Buffalo (SUNY) – Civil, Structural and Environmental Engineering Department, “Designing for the future: A roadmap to advance climate resilience of the U.S. energy sector”, February 24, 2023;
[T16] Rochester Institute of Technology – Industrial and Systems Engineering Department, “Integrated multilayered modeling of the complex interactions of sociotechnical systems with climatic extremes”, November 17, 2022
[T15] Society for Risk Analysis (SRA) Annual Meeting 2022, “A Hierarchical Data-Driven Optimization Framework to Enhance Power Grid Infrastructure Resilience Under Compound Effects of Climate Change and Extreme Weather Events”, December 4-8, 2022, Tampa FL (Invited in session – Infrastructure Resiliency)
[T14] University of Oklahoma, “Harnessing Data-driven Risk Assessment Methods to Advance the Resilience and Sustainability of Socio-technical Systems”, January 28, 2022
[T13] Society for Risk Analysis (SRA) Annual Meeting 2021, “A Geo-AI Based Framework for Modeling Wildfire-induced Failure Risk of Electric Power Grid”, December 5-9, 2021 (Invited in session – Resilience Modeling of Energy Systems)
[T12] George Mason University, “A multifaceted data-driven risk assessment approach to advance the resilience and sustainability of socio-technical systems”, April 19, 2021
[T11] ASCE Women Water Nexus 11th Short Conference on Sewer Asset Management – Challenges and New Data-driven Methods (Key Speaker), “A two-stage data driven spatiotemporal analysis to predict failure risk of urban sewer systems”, November 17, 2020
[T10] INFORMS Annual Meeting 2020, “Towards Improved Energy Predictions: Modeling Energy Sector Couplings Using A Multivariate Predictive Framework”, November 9, 2020 (Invited in session – Data Analytics in Energy Systems)
[T9] Purdue University, “Data-driven risk-informed decision analysis: Application towards sustainable energy systems”, Webinar; April 3, 2020
[T8] Florida State University and Florida A&M University, “Towards climate-resilience of energy sector: A data-driven multidisciplinary approach to risk-informed decision making”, Tallahassee FL, February 26, 2018
[T7] University of Virginia, “A roadmap towards climate-resilient energy infrastructure systems: A datadriven interdisciplinary approach to risk-informed decision analysis”, Charlottesville VA, February 20, 2018
[T6] University of Michigan, “Quantifying and predicting the climate-induced demand shifts in the energy sector”, Ann Arbor MI, February 12, 2018
[T5] Vanderbilt University, “Advanced data analytics to understand climate and severe weather risks in the electricity sector”, Nashville TN, April 25, 2017
[T4] Wharton Risk and Decision Center, “Strategic decision-making for resilience investments in the infrastructure systems”, Philadelphia PA, June 21, 2017
[T3] Indian Institute of Technology, Delhi, “Risk and decision analysis for resilience enhancement of critical infrastructure”, Delhi India, March 6, 2017
[T2] Cuba Consortium Meeting, “Disaster Impacts on Communities and Mitigation Strategies”, Gainesville FL, June 17, 2016
[T1] World Bank and Indiana University–Purdue University Indianapolis (IUPUI)– Polis Center Joint Meeting, “Overview of disaster risk reduction approaches”, Indianapolis IN, December 14, 2016