Michael Redmond
Introduction
Dr. Michael Redmond is an Assistant Professor of Instruction in the Department of Business Analytics at the Tippie College of Business, teaching Python programming, Operations Management, and Business Process Automation. Prior to working at Iowa, he was a lecturer in the Supply Chain Management and Analytics Department at the University of Nebraska where he taught Business Analytics, Information Systems, and Supply Chain Decision Making Models.
Michael Redmond graduated in the Summer 2020 from the University of Iowa with a Ph.D. in Business Analytics with a focus on transportation analytics and stochastic programming. He is an active member in the Transportation Science and Logistics Society of INFORMS and served as the INFORMS student president at Iowa. Prior to his PhD, Michael worked with companies and nonprofits, including the Chicago Bears, UI Office of Sustainability & Integrated DNA Technologies, on consulting projects during his time in the Supply Chain & Analytics MBA program.
He has been involved in education for the past decade and thoroughly enjoys teaching – before diving into higher education, he was a K-8 Math and Spanish teacher in Omaha. Michael also completed his post-doctoral research with Dr. Mark Daskin and Ford on developing a stochastic programming model for supply chain and demand uncertainty from 2020-2021. In his free time enjoys bowling, volleyball, hiking, and watching all kinds of Hawkeye sports!
Current Positions
- Lecturer, Business Analytics
Education
- PhD in Business Analytics, University of Iowa
- MBA, University of Iowa
Selected Awards & Honors
- Undergraduate Faculty of the Year - Tippie College of Business, 2024
Professional Memberships
- Transportation Science and Logistics Society, 2016
- Institute for Operations Research and the Management Sciences (INFORMS), 2015
Selected Publications
- Daskin, M. S. & Levin, A. (2024). The tradeoff between maximizing expected profit and minimizing the maximum regret in the newsvendor problem. Annals of Operations Research. 343 pp. 153-174. DOI: https://doi.org/10.1007/s10479-024-06276-y.
- Horstmannshoff, T. & Redmond, M. (2024). Identifying Alternative Stops for First and Last-Mile Urban Travel Planning. Public Transport.
- PeCoy, M. & Redmond, M. (2023). Flight reliability during periods of high uncertainty. Journal of Air Transport Management. 106.
- Redmond, M., Campbell, A. M., & Ehmke, J. F. (2022). Reliability in public transit networks considering backup itineraries. European Journal of Operational Research. 300 (3) pp. 852-864.
- Campbell, A. M. & Ehmke, J. F. (2020). Data-driven planning of reliable itineraries in multi-modal transit networks. Public Transport. 12 pp. 171-205.
- Campbell, A. M. & Ehmke, J. F. (2019). The most reliable flight itinerary problem. Networks. 73 (3) pp. 325-343.
Employment History
- Graduate Fellow, Graduate College, University of Iowa, 2015 - 2020
- Lecturer, Supply Chain & Analytics, University of Nebraska-Lincoln, 2022 - 2023