Publications

Journals

  1. 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 (in press).
  2. J22. Wei, Z.; and Mukherjee, S. (2023). “Examining Income Segregation within Activity Spaces Under Natural Disaster Using Dynamic Mobility Network”, Sustainable Cities and Society; Volume 91, April 2023, 104408 [Link]
  3. J21. Mukherjee, S., Shucard, J., Rintamaki, L., Wei, Z., Carlasare, L., and Sinsky, C. (2022). “A Statistical Machine Learning Approach to Evaluate Factors Associated with Post-Traumatic Stress Symptoms in Physicians: Insights from COVID-19 Pandemic”, IEEE Access; Vol 10, 114434-114454 [Link]
  4. J20. Wei, Z.; Narin, A. B.; and Mukherjee, S. (2022). “A Robust Data-Driven Approach to Evaluate and Predict County-level Public Health Status Leveraging Statistical Learning”, IEEE Access, Vol. 10, pp. 22737-22755 [Link]
  5. 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 [Link]
  6. 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 [Link]
  7. J17. Masoudvaziri, N., Ganguly, P., Mukherjee, S., Sun, K. (2021). “An integrated risk-informed decision framework to minimize wildfire-induced power outage risks”, Stochastic Environmental Research and Risk Assessment (SERRA) journal [Link]
  8. J16. Mukherjee, S.; Boamah, E.F.; Ganguly, P.; and Botchwey, N. (2021) “A multilevel scenario based predictive analytics framework to model the community mental health and built environment nexus”, Scientific Reports 11, 17548 (2021) [Link]
  9. 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 [Link]
  10. 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 (in press) [Link]
  11. 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 Brief  (PMID: 33297721; March 15, 2020) [Link]
  12. J12. Obringer, R, Mukherjee, S., and Nateghi, R. (2020). “Evaluating the climate sensitivity of coupled electricity-natural gas demand using a multivariate framework”, Applied Energy; Volume 262 (March 15, 2020) [Link]
  13. 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; Vol 185, pp-1143-1153 [Link]
  14. J10. Mukherjee, S., Vineeth, C.R., and Nateghi, R. (2019). “Evaluating regional climate-electricity demand nexus: A composite Bayesian predictive framework”, Applied Energy; Volume 235, 1 February 2019, pp. 1561-1582 [Link] 
  15. 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 [Link]
  16. J8. Mukherjee, S. and Nateghi, R. (2018). “A data-driven approach to assess supply inadequacy risks related to climate-sensitive electricity demand”, Risk Analysis; Volume 39 Issue 3, pp. 673-694 [Link]
  17. J7. 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, Volume 175, July 2018, pp. 283-305  [Link]
  18. J6. 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) Vol 19 (2018) pp. 2079–2083. [Link]
  19. J5. 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, Vol 128, pp. 688-700 [Link]
  20. J4. 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  [Link]
  21. J3. Nateghi, R. and Mukherjee, S. (2017). “A multi-paradigm framework to assess the impacts of climate change on end-use energy demand”, PLoS ONE, 12(11): e0188033 [Link]
  22. J2. 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; pp. 1–12 [Link]
  23. 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, Vol 7, Issue 5, pp. 521-543 [Link]
  1. 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).
  2. 2. Wei, Z.. and Mukherjee, S.(2023). “Analyzing and forecasting service demands using human mobility data: A two-stage predictive framework with decomposition and multivariate analysis”, Expert Systems With Applications.
  3. 3. Hunt, K.; Behlendorf, B.; Wang, S.; Mukherjee, S.; Zhuang, J.  (2023). “Near-repeat Terrorism: Identifying and Analyzing the Spatiotemporal Attack Patterns of Major Terrorist Organizations”, Expert Systems With Applications.
  4.  

Conference & Invited Talks

  1. 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 2nd places in the Best Track Paper & the Best Student paper Competitions organized by the Work Systems Track]
  2. 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 20-23 [selected as the best paper finalist by the Data Analytics & Information Systems (DAIS) Track]
  3. C17. Ganguly, P., and Mukherjee, S. (2021) “Understanding Wildfire Induced Risk on Interconnected Infrastructure Systems Using a Bow-Tie Model and Self Organizing Maps”, The 31st European Safety and Reliability Conference (ESREL 2020), France Angers, Sep 19-23, 2021 [Link]
  4. C16. Mukherjee, S., Botchwey, N., and 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, Nov 1-6, 2020 [Link]
  5. C15. Masoudvaziri, N., Ganguly, P., Mukherjee, S., and 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, Nov 1-6, 2020 [Link]
  6. C14. Yoon, S., Mukherjee, S., and Hastak, M. (2019). “A Framework to Assess Natural Hazard Induced Service Inoperability in the Electricity Sector”, Canadian Society for Civil Engineers (CSCE) 2019 General Conference, June 12-15, 2019 [Link]
  7. C13. Mukherjee, S.and Nateghi, R. (2017). “Estimating Climate—Demand Nexus to Support Long-term Adequacy Planning in the Energy Sector”, 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]
  8. 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”, 6th CSCE/ASCE/CRC International Construction Specialty Conference 2017; May 31 – June 3, 2017, Vancouver, Canada. [Link]
  9. C11. 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” 10th Anniversary Homeland Defense / Security Education Summit, March 2017, Arlington VA [Link]
  10. C10. Mukherjee, S. and Hastak, M. (2017). “Optimal selection of transmission line rehabilitation strategies to minimize power transmission costs”, PMI Project Management Research & Academic Conference 2017; 2nd – 4th March 2017, IIT Delhi, India**: Awarded Best Jury Award
  11. C9. Mukherjee, S., and Hastak, M. (2016). “Risk of natural disasters on 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 5th– 7th, Peradeniya, Sri Lanka, pp. 29-37
  12. C8. Mukherjee, S., and Hastak, M. (2016). “Sustainability in context of resilience enhancement and capacity building strategies”, 6thInternational Conference on Building Resilience, September 7th– 9th, 2016, Auckland, NZ
  13. C7. Ji, R., Liu, K., Nantung, T., Mukherjee, S. and Hastak, M. (2016). “Numerical modeling for sealed and unsealed pavement drainage performance: case study on US-24”,Transportation Research Board 95th Annual Meeting, Washington D.C. January 10-14, 2016
  14. C6. Mukherjee, S., and Hastak, M. (2016). “Public Utility Commissions to Foster Resilience Investment in Power Grid Infrastructure.” Procedia – Social and Behavioral Sciences, JOUR, 218, 5–12.
  15. 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 5thInternational / 11thConstruction Specialty Conference (CSCE),June 8-10, 2015. (1323-1332). Vancouver, British Columbia
  16. C4. Mukherjee, S., Hastak, M., and Halligan, J. (2014). “Compare and contrast major nuclear power plant disasters: lessons learned from the past”. In Randy R. Rapp & William Harland (Eds.), Proceedings of the 10th International Conference of the International Institute for Infrastructure Resilience and Reconstruction (I3R2)20-22 May 2014. (163-169). West Lafayette, Indiana: Purdue University**
  17. C3. Mukherjee, S., Shane, J., and Strong, K. (2012). “Safety risk analysis and proposing risk mitigation strategies for operations and maintenance activities in highways”, Construction Research Congress 2012, Purdue University, West Lafayette, IN
  18. C2. Mukherjee, S., Shane, J.S., and Strong, K.S. (2012). “Identification and assessment ofrisks involved in operations and maintenance activities on highways – Crash data analysis and development of severity-frequency lists”, Transportation Research Board 91stAnnual Meeting, Washington D.C.
  19. C1. Mukherjee, S., Shane, J.S., and Strong, K.C. (2011). “Implementing an enterprise project management system in a large, multidisciplinary engineering consulting firm”, Engineering Project Organization Conference (EPOC 2011), Estes Park, CO.
  1. O47. Umar, F. and Mukherjee, S. (2023). “Data-Driven Analysis of Equity in Wildfire Resource Allocation”,  Society for Risk Analysis Annual Meeting, December 10-14, 2023, Washington D.C.
  2. O46. Wei, Z. and Mukherjee, S. (2023). “Examining disparities in access to critical facilities using fine-grained human mobility network”,  Society for Risk Analysis Annual Meeting, December 10-14, 2023, Washington D.C.
  3. 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 Annual Meeting, December 10-14, 2023, Washington D.C.
  4. O44. Wei, Z. and Mukherjee, S. (2022). “A Two-Stage Spatiotemporal Analysis to Forecast Mobility Patterns at Critical Facilities”, INFORMS Annual Meeting, October 15-18, 2023, Phoenix AZ.
  5. O43. 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”, INFORMS Annual Meeting, October 15-18, 2023, Phoenix AZ.
  6. 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.
  7. O41. Wei, Z. and Mukherjee, S. (2022). “Advancing Disaster Preparedness: A Data-Driven Spatiotemporal Analysis to Forecast Mobility Patterns at Critical Facilities”,  Society for Risk Analysis General Meeting, Tampa FL, December 4-8, 2022
  8. O40. Wei, Z. and Mukherjee, S. (2022). “Understanding neighborhood-level socioeconomic disparities associated with access to essential services during a disaster using dynamic mobility networks”,  Society for Risk Analysis General Meeting, Tampa FL, December 4-8, 2022
  9. O39. Ganguly, P. and Mukherjee, S. (2022). “A Hierarchical Data-Driven Optimization Framework to Enhance Resilience of Power Grid Infrastructure Exposed to Compound Effects of Climate Change”,  Society for Risk Analysis General Meeting, Tampa FL, December 4-8, 2022
  10. O38. Ganguly, P. and Mukherjee, S. (2022). “Designing a Resilient Power Grid System through Optimal Public Safety Power Shutoffs and Microgrid Formation under Wildfire Scenarios”,  Society for Risk Analysis General Meeting, Tampa FL, December 4-8, 2022
  11. 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
  12. 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”, Society for Risk Analysis General Meeting, December 5-9, 2021
  13. O35. Wei, Z., and Mukherjee, S. (2020). “Assessing community resilience: A human mobility perspective”, Society for Risk Analysis General Meeting, December 5-9, 2021
  14. O34. Mukherjee, S., Shucard, J., Rintamaki, L., Wei, Z., Carlasare, L., and Sinsky, C. (2021). “Investigating posttraumatic stress disorder (PTSD) the mental wellbeing among US physicians during COVID-19: a data-centric approach based on survey data”, Society for Risk Analysis General Meeting, December 5-9, 2021
  15. O33. Ganguly, P. and Mukherjee, S. (2021) “A Geo-AI Based Framework for Modeling Wildfire-induced Failure Risk of Electric Power Grid”, Society for Risk Analysis General Meeting, December 5-9, 2021
  16. 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; July 21-23, 2021
  17. 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; July 21-23, 2021
  18. 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”, Society of Risk Analysis General Meeting, December 13-17, 2020 
  19. O29. Obringer, R., Silva, D.M., Nateghi, R., Mukherjee, S., Vineeth CR.; McRoberts, DB; and, Kumar, R. (2020). “Characterizing the impact of climate change on household air conditioning use across the United States”, Society of Risk Analysis General Meeting, December 13-17, 2020 
  20. O28. Obringer, R., Mukherjee, S., and Nateghi, R. (2020). “Modeling Sectoral Electricity—Natural Gas Demand and Climate Nexus: A Data-driven Multivariate Predictive Framework”, Society of Risk Analysis General Meeting, December 13-17, 2020 
  21. 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”, Society of Risk Analysis General Meeting, December 13-17, 2020 
  22. O26. Wei, Z., and Mukherjee, S. (2020). “A Two-Stage Dynamic Disease Transmission Model Accounting for Behavioral and Epidemiological Heterogeneities in Populations”, Society of Risk Analysis General Meeting, December 13-17, 2020 
  23. O25. Ganguly, P., and Mukherjee, S. (2020). “A Bi-Level Scheduling and Allocation of Frontline Healthcare Workers (FHWs) During a Pandemic to Reduce the Work-Related Stress”, Society of Risk Analysis General Meeting, December 13-17, 2020
  24. 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”, Society of Risk Analysis General Meeting, December 13-17, 2020
  25. 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
  26. 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
  27. 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
  28. O20. Ganguly, P., Mukherjee, S., and, 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
  29. 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 Space-time Analysis: A Case Study For Sewer System Failures In Bogota”, 2020 INFORMS Annual Meeting Conference, November 8-11, 2020 
  30. 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 Sinú, Cartagena, Colombia. (September 1, 2020)
  31. 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
  32. O16.Ganguly, P., and Mukherjee, S. (2019). “Evaluating factors affecting crime rates in the state of New York: A county-level analysis”, Society of Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
  33. 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”, Society of Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
  34. 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 Bogotá’s Sewer System: A spatiotemporal analysis”, Society of Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
  35. 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”, Society of Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
  36. 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”, Society of Risk Analysis General Meeting, Arlington VA, December 8-12, 2019
  37. 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 
  38. 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
  39. 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  
  40. 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
  41. 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  
  42. 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  
  43. 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
  44. 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
  45. O3. Mukherjee, S., CR, V., and Nateghi, R. (2018). “A Comparative Analysis of Climate Sensitivities of High- and Moderate- Intensity Regional Electricity Demands”, Society for Risk Analysis (SRA) 2018 Annual Meeting Conference, New Orleans LA, December 2-6, 2018
  46. 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
  47. O1. Mukherjee, S., Nateghi, R. and Hastak, M. (2018). “Modeling Risks of Extreme Weather Induced Power Outages”, 2018 INFORMS Annual Meeting Conference, November 4-7, 2018

  48.  

  1. T14. Mukherjee, S., “Harnessing Data-driven Risk Assessment Methods to Advance the Resilience and Sustainability of Socio-technical Systems”, University of Oklahoma, January 28, 2022
  2. T13. Mukherjee, S., “A Geo-AI Based Framework for Modeling Wildfire-induced Failure Risk of Electric Power Grid”, 2021 Society for Risk Analysis, December 5-9, 2021 (Invited in session – Resilience Modeling of Energy Systems)
  3. T12. Mukherjee, S., “A multifaceted data-driven risk assessment approach to advance the resilience and sustainability of socio-technical systems”, George Mason University, April 19, 2021
  4. T11. Mukherjee, S., “A two stage data driven spatiotemporal analysis to predict failure risk of urban sewer systems”, ASCE Women Water Nexus 11th Short Conference on Sewer Asset Management – Challenges and New Data-driven Methods (Key Speaker), November 17, 2020
  5. T10. Mukherjee, S., “Towards Improved Energy Predictions: Modeling Energy Sector Couplings Using A Multivariate Predictive Framework”, 2020 INFORMS Annual Meeting Conference, November 9, 2020 (Invited in session – Data Analytics in Energy Systems)
  6. T9. Mukherjee, S., “Data-driven risk-informed decision analysis: Application towards sustainable energy systems”, Purdue University, Webinar; April 3, 2020
  7. T8. Mukherjee, S., “Towards climate-resilience of energy sector: A data-driven multidisciplinary approach to risk-informed decision making”, Florida State University and Florida A&M University, Tallahassee FL, 2018
  8. T7. Mukherjee, S., “A roadmap towards climate-resilient energy infrastructure systems: A data-driven interdisciplinary approach to risk-informed decision analysis”, University of Virginia, Charlottesville VA, 2018
  9. T6. Mukherjee, S., “Quantifying and predicting the climate-induced demand shifts in the energy sector”, University of Michigan, Ann Arbor MI, 2018
  10. T5. Mukherjee, S., “Advanced data analytics to understand climate and severe weather risks in the electricity sector”, Vanderbilt University, Nashville TN, 2017
  11. T4. Mukherjee, S., “Strategic decision-making for resilience investments in the infrastructure systems”, Wharton Risk and Decision Center, Philadelphia PA, 2017
  12. T3. Mukherjee, S., “Risk and decision analysis for resilience enhancement of critical infrastructure”, Indian Institute of Technology, Delhi India, 2017
  13. T2. Mukherjee, S., “Disaster Impacts on Communities and Mitigation Strategies,” Cuba Consortium Meeting, Gainesville FL, 2016
  14. T1. Mukherjee, S., “Overview of disaster risk reduction approaches”, World Bank and Indiana University–Purdue University Indianapolis (IUPUI)– Polis Center Joint Meeting, Indianapolis IN, 2016
  1. 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
  2. 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
  3. 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
  4. P7. Masoudvaziri, N., Ganguly, P., Mukherjee, S., Sun, K. (2020) “Fast prediction of wildfire spread: a surrogate to physics-based simulations”, Society of Risk Analysis General Meeting, Austin TX, December 13-17, 2020
  5. 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 8-11, 2020
  6. 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, Aug 12-14 2020; Cambridge, MA 
  7. 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 14th, 2020
  8. 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
  9. 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; Jul 30–Aug 2, 2019
  10. P1. Mukherjee, S. and Nateghi, R. (2018). “Modeling supply inadequacy risks in the regional electricity sector under climate change scenarios”, Society for Risk Analysis (SRA) 2018 Annual Meeting Conference, New Orleans LA, December 2-6, 2018

Book Chapters

  • B1. Obringer, R.*; and Mukherjee, S.* (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) [* Co-first Authors]

Reports and Theses

  1. R2. Raymond, Leigh; Gotham, Douglas; McClain, William; Mukherjee, Sayanti; Nateghi, Roshanak; Preckel, Paul V.; Schubert, Peter; Singh, Shweta; Wachs, Liz; Widhalm, Melissa; and Dukes, Jeffrey, “Climate Change and Indiana’s Energy Sector: A Report from the Indiana Climate Change Impacts Assessment” (2019). Energy Reports [Link]
  2. 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
  1. 2. 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)
  2. 1. 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)
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