{"id":375,"date":"2019-07-10T11:25:51","date_gmt":"2019-07-10T03:25:51","guid":{"rendered":"http:\/\/oasis.eng.buffalo.edu\/?page_id=375"},"modified":"2024-12-28T03:06:48","modified_gmt":"2024-12-27T19:06:48","slug":"team","status":"publish","type":"page","link":"https:\/\/oasis.eng.buffalo.edu\/index.php\/team\/","title":{"rendered":"Teams old"},"content":{"rendered":"\t\t
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Current Students<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Zhiyuan Wei, Ph.D. student<\/h6>

Zhiyuan Wei is a third year Ph.D. student in the Department of Industrial & Systems Engineering at the University at Buffalo (SUNY). He holds a B.S. in Computer Science from Ludong University and a M.S. in Industrial Economics from University of International Business and Economics (UIBE) in 2016, China. He also obtained a M.S. in Industrial Engineering from University at Buffalo (SUNY) in 2019. Zhiyuan's research interests lie in risk analysis and informed decision making in the domain of public health.
Contact: zwei7@buffalo.edu <\/i><\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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  • 1) Dissertation (working title)<\/span><\/strong>:<\/span>\u00a0A Transformative Data-centric Framework to Assess Community Resilience to Natural Disasters Leveraging Large-scale Human Mobility Data<\/span><\/span><\/li>
  • 2) Awards:\u00a0<\/span><\/strong><\/span>
    • i) 2022 Student\/Young Professional Travel Award, Society for Risk Analysis (SRA)<\/span><\/li>
    • ii) 2022\u00a0Best Student Paper (Finalist), Data Analytics & Information Systems, IISE Annual Conference<\/span><\/li>
    • iii) 2022\u00a0Honorable Mention, ISE Graduate Student Teaching Award<\/span><\/li>
    • iv) 2022 Natural Hazards Student Research Grant, UB\u2019s Center for Geohazards Studies<\/span><\/li>
    • v) 2021 Student Merit Award, Occupational Health and Safety, Society for Risk Analysis (SRA)<\/span><\/li><\/ul><\/li>
    • 3) Journal Publications:<\/strong><\/span>
      • \u00a0i)\u00a0Wei, Z.<\/strong> and Mukherjee, S. (2023). \u201cExamining income segregation within activity spaces under natural disaster using dynamic mobility network\u201d,\u00a0Sustainable Cities and Society<\/em>, 91, 104408.<\/span><\/li>
      • ii) Wei, Z., <\/strong>Narin, A.B., and Mukherjee, S.,(2021). \u201cMultidimensional population health modeling: a data-driven multivariate statistical learning approach”, IEEE Access<\/em>, 10, 22737-22755.<\/span><\/li>
      • iii)<\/strong> Mukherjee, S., Shucard, J., Rintamaki, L., Wei, Z.<\/strong>, Carlasare, L., and Sinsky, C. (2021). \u201cA Statistical Learning Approach to Evaluate Factors Associated with Post-Traumatic Stress Symptoms in Physicians: Insights from the COVID-19 Pandemic\u201d, IEEE Access<\/em>, 10, 114434-114454<\/span><\/li>
      • iv)<\/strong> Mukherjee, S. and Wei, Z.<\/strong> (2021). \u201cSuicide disparities across metropolitan areas in the U.S.: A comparative assessment of socio-environmental factors using a data-driven predictive approach”, PLOS One,<\/em> 16(11): e0258824.<\/span><\/li>
      • v) Wei, Z.<\/strong> and Mukherjee, S. (2020). \u201cHealth-behaviors associated with the growing risk of adolescent suicide attempts: A data-driven cross-sectional study\u201d, Journal of Health Promotion Research\u00a0<\/em> (PMID: 33297721)<\/span><\/li><\/ul><\/li>
      • 4) Conference proceedings:<\/span><\/strong><\/span>
        • i)<\/strong> Wei, Z., Mukherjee, S., and Chen, J. (2023).\u201cForecasting spatiotemporal variations in emergency shelter demand leveraging human mobility data: A data-centric multivariate framework\u201d, 2023 IISE Conference Proceedings.\u00a0<\/span><\/li>
        • ii) Wei, Z.,<\/strong> and Mukherjee, S. (2022). \u201cMapping human mobility variation and identifying critical services during a disaster using dynamic mobility network\u201d, 2022 IISE Conference Proceedings (selected as the Best Student Paper Finalist by the Data Analytics & Information Systems (DAIS) Track).<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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          Prasangsha Ganguly, Ph.D. student<\/h6>

          Prasangsha Ganguly is a third year Ph.D. student in the Department of Industrial & Systems Engineering at the University at Buffalo (SUNY). He obtained a Bachelor of Technology Degree in Computer Science from West Bengal University of Technology, Kolkata, India in 2015, and a Master of Technology degree in Disaster Mitigation and Management from Indian Institute of Technology Roorkee, India, in 2017. His research interests lie in area of applied data science and operations research.
          Contact: prasangs@buffalo.edu<\/i><\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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          • 1)<\/span> Dissertation (working title)<\/span><\/strong>:\u00a0<\/span>Resilience and Vulnerability Analysis of Electricity Infrastructure System Under Adverse Climate Conditions<\/span><\/span><\/li>
          • 2)<\/strong><\/span>\u00a0Awards:<\/span><\/strong><\/span> 2021 Natural Hazards Student Research Grant<\/strong> from the Center for Geohazards Study<\/span><\/span><\/li>
          • 3)<\/strong> Journal Publications:<\/strong><\/span><\/span>
            • i) Ganguly, P.<\/strong>; and Mukherjee, S. (2023). \u201cA Simulation-based Hybrid Generalized Framework to Model Vulnerability of Interdependent Critical Infrastructure Systems Under Incomplete Information\u201d,\u00a0Computer-Aided Civil and Infrastructure Engineering<\/em> (forthcoming)<\/span><\/li>
            • ii) Ganguly, P.<\/strong>; and Mukherjee, S. (2021). \u201cA Multifaceted Risk Assessment Approach Using Statistical Learning to Evaluate Socio-environmental Factors Associated with Regional Felony and Misdemeanor Rates\u201d, Physica A: Statistical Mechanics and its Applications<\/em>; Volume 574, 15 July 2021, 125984<\/span><\/li>
            • iii)<\/strong> Masoudvaziri, N., Ganguly, P.<\/strong>, Mukherjee, S., Sun, K. (2021) \u201cImpact of geophysical and anthropogenic factors on wildfire size: A spatiotemporal data-driven risk assessment approach using statistical learning\u201d, Stochastic Environmental Research and Risk Assessment<\/em> journal;\u00a036, 1103\u20131129.<\/span><\/li>
            • iv)<\/strong> Mukherjee, S.; Boamah, E.F.; Ganguly, P.<\/strong>; and Botchwey, N.; (2021) \u201cTowards resilient mental wellbeing in cities: A data-driven learning from mental health-environment nexus\u201d, Nature Scientific Report<\/em>s, 11, 17548 (2021)<\/span><\/li><\/ul><\/li>
            • 4)<\/strong> Conference Proceedings:<\/strong><\/span><\/span>
              • i) Ganguly, P.<\/strong>, and Mukherjee, S. (2021) \u201cUnderstanding Wildfire Induced Risk on Interconnected Infrastructure Systems Using a Bow-Tie Model and Self Organizing Maps\u201d, In the proceedings of the 31st European Safety and Reliability Conference (ESREL 2021), France Angers, Sep 19-23, 2021; DOI:\u00a010.3850\/978-981-18-2016-8_567-cd<\/span><\/li>
              • ii)<\/strong> Masoudvaziri, N. , Ganguly, P.<\/strong>, Mukherjee, S., Sun, K. (2020) \u201cAn integrated risk-informed decision framework to minimize wildfires-induced power outage risks\u201d, In the Proceedings of the 30th European Safety and Reliability Conference (ESREL 2020), Venice Italy, Nov 1-6, 2020; ISBN\/DOI: 978-981-14-8593-0\u00a0<\/span><\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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                Yashraj Shashikant Sharma, M.S. student<\/h6>

                Yashraj Sharma is a second year Master\u2019s student in the department of Industrial and Systems Engineering at the State University of New York at Buffalo. He obtained his Bachelor\u2019s in Industrial Engineering from Shri Ramdeobaba college of Engineering and Management, Nagpur, Maharashtra, India in 2021. He is curious about and fascinated by how Operations Research and Machine Learning can help solve complex problems and my research interests lie in applying these techniques to tackle real-world scenarios.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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                Pranav Vinod Pillai, M.S. student<\/h6>

                Pranav Pillai is a second year Master's degree student in the Department of Industrial and Systems Engineering at the University at Buffalo (SUNY) . He obtained a B.S in Chemical and Biological Engineering from the University at Buffalo (SUNY) in 2021 . His research interests lie in Operations Research, Machine Learning and Data Analytics in the domain of disaster management. <\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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                Huize Hou, Undergraduate student<\/span><\/span> <\/h3>

                Huize is pursuing a Bachelor\u2019s Degree in Industrial Engineering from the University at Buffalo (SUNY), and transferred from Sichuan University. He plans to continue his education by pursuing a Master\u2019s Degree in a field related to data processing and analyzing after graduation. His research interests lie in solving real-world problems based on data analytics, machine learning algorithms, statistical modeling and operation research techniques.<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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                Alumni<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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                Aishwarya Gupta, M.S. student<\/h6>

                Aishwarya was a Master's student in the Department of Industrial and Systems Engineering at the University at Buffalo (SUNY). She holds a bachelor's degree in Industrial Engineering from Ramdeobaba college of engineering and management (RCOEM) , Nagpur University, Maharashtra, India in 2018. Aishwarya's interests lie in statistical analysis, predictive modeling and operations research to solve real time problems.
                Contact: agupta49@buffalo.edu <\/i>\n<\/p><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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