معرفی
Jennifer Pazour is a Professor and the PhD Program Director in the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI), where she also holds the James M Tien '66 Dean's Fellow in Decision Sciences and Engineering Systems position. Her research focuses on mathematical modeling to guide decision making for logistics and supply chain challenges in modern on-demand systems.
Dr. Pazour's educational background includes:
- Ph.D. in Industrial Engineering from the University of Arkansas (2011)
- M.S. in Industrial Engineering from the University of Arkansas (2009)
- B.Eng. in Industrial Engineering from South Dakota School of Mines and Technology (2006) with a minor in Mathematics
Dr. Pazour's research addresses the fundamental differences between modern and traditional supply chain systems, particularly focusing on how resources are acquired, managed, and allocated to fulfill customer requests in environments with dispersed locations and small-unit orders. Her team develops mathematical and computational representations of sociotechnical systems, creating optimization models, solution approaches, and managerial insights across diverse applications including resource sharing platforms, peer-to-peer transportation systems, on-demand warehousing, and crowdsourced order fulfillment. Methodologically, her work spans integer linear programs, bi-level optimization formulations, queuing models, and analytical models.
Her recent publication trends show a strong focus on omnichannel retail logistics, autonomous robotics in store fulfillment, and optimization frameworks for platform-based systems. A significant portion of her work addresses the balance between platform efficiency and supplier autonomy in ridesharing and delivery platforms, while more recent research explores volunteer management and nonprofit operations through optimization frameworks. Her research demonstrates how mathematical models can provide actionable insights for both industry applications and policy recommendations.
Dr. Pazour has received numerous prestigious awards:
- Fellow of the Institute of Industrial and Systems Engineers (2025)
- RPI School of Engineering Faculty Research Excellence Award (2024)
- National Science Foundation CAREER Award (2018)
- Johnson & Johnson WiSTEM2D Scholar (2018)
- Office of Naval Research Young Investigator Award (2013)
- IISE Dr. Hamed K. Eldin Outstanding Early Career IE in Academia Award (2017)
As an advisor, Dr. Pazour has successfully mentored multiple PhD students through to graduation, including Joyjit Bhowmick (2024), Rosemonde Ausseil (2022), Hannah Horner (2021), and Kaan Unnu (2020). Her research is supported by significant funding from the National Science Foundation, Office of Naval Research, Johnson & Johnson, and other organizations, totaling millions of dollars in active research grants. She has served as an Associate Editor for several prestigious journals and held leadership positions in professional societies including INFORMS and IISE.
Dr. Pazour leads a vibrant research group focused on logistics and supply chain optimization, with current projects spanning omnichannel retail logistics, autonomous robotics, peer-to-peer transportation platforms, and nonprofit resource sharing systems. Her team collaborates with industry partners including W.W. Grainger and has developed practical tools such as a cost calculator for on-demand warehousing systems. She actively engages with the academic community through her research blog and teaching initiatives, including a YouTube channel dedicated to supply chain education.
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