SM
Sayanti Mukherjee
Purdue University, Iowa State University, Iowa State University College of Engineering, Jadavpur University
Employment
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Purdue University Graduate Research Assistant2013 - Present
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Purdue University Graduate Staff Assistant2013 - 2014
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Purdue University Graduate Staff Assistant - Statistical Data Analyst2012 - 2013
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Iowa State University Post Graduate Research Scholar2012 - 2012
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Iowa State University Graduate Research Assistant2011 - 2011
Education
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Purdue University Master of Science (M.S.) in Economics2015 - 2016
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Purdue University Doctor of Philosophy (Ph.D.) in Civil Engineering2012 - Present
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Iowa State University College of Engineering Master of Science (M.S.) in Civil Engineering2010 - 2011
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Jadavpur University Bachelor of Construction Engineering2004 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
- Evaluating socioeconomic factors for crime against women in developing countries: A data-centric statistical learning approach Save
- An integrated approach to analyze equitable access to food stores under disasters from human mobility patterns Save
- An integrated framework to improve the resiliency of electricity distribution systems exposed to wildfires Save
- Near-repeat terrorism: Identifying and analyzing the spatiotemporal attack patterns of major terrorist organizations Save
- Analyzing and forecasting service demands using human mobility data: A two-stage predictive framework with decomposition and multivariate analysis Save
- Examining income segregation within activity spaces under natural disaster using dynamic mobility network Save
- Impact of geophysical and anthropogenic factors on wildfire size: a spatiotemporal data-driven risk assessment approach using statistical learning Save
- A Statistical Learning Approach to Evaluate Factors Associated With Post-Traumatic Stress Symptoms in Physicians: Insights From the COVID-19 Pandemic Save
- Multidimensional Population Health Modeling: A Data-Driven Multivariate Statistical Learning Approach Save
- A multifaceted risk assessment approach using statistical learning to evaluate socio-environmental factors associated with regional felony and misdemeanor rates Save