Dr. Md Mamunur Rahman

Dr. Mamunur Rahman is an Assistant Professor of Industrial and Systems Engineering at the University of Wisconsin–Platteville. His research focuses on healthcare, supply chain management, transportation, and process improvement, with an emphasis on applying machine learning, computer simulation, and optimization techniques.

Dr. Rahman was a key contributor to the Deep Dive Assessment Report on the Electric Grid and High Voltage Direct Current Supply Chain (HVDC SC), prepared for the U.S. Department of Energy’s Office of Electricity and Advanced Manufacturing Office in response to the President Biden’s Executive Order 14017 on America’s Supply Chains.

He has published extensively in leading journals and international conferences in his field, including contributions to two book chapters. His research has been recognized with multiple honors, including the Best Paper Award at the Institute of Industrial and Systems Engineers (IISE) Annual Conference (2019) and a Best Paper Finalist designation at the Computational Social Science Society of the Americas Annual Conference (2018).

Dr. Rahman's expertise extends beyond academia, having worked for several Fortune 500 companies in supply chain and manufacturing roles. Additionally, he was the lead developer of several software applications, such as Comprehensive Manufacturing Assessment Tool (CMAT) and PyEmission, during his tenure at Idaho National Laboratory.

Ph.D. in Industrial Engineering, University of Texas - Arlington

• Principal Investigator (PI) on a State of Wisconsin–sponsored Dairy Innovation Hub project, “Precision Livestock Farming: Leveraging Data and Machine Learning to Enhance Dairy Calf Health and Welfare,” awarded $50,000 in funding.
• Faculty Mentor for the Summer Undergraduate Scholars Program project, “Assessing the Environmental Impact of Electric Vehicle Adoption Amid Shifting U.S. Energy Policies,” awarded $5,180 in Summer 2025.
• Co-PI on a UW–Platteville–sponsored project, “Optimizing Dairy Farm Productivity: Predicting Milk Yield and Quality Using Machine Learning on Milking Robot Data,” awarded in Fall 2025.
• PI on a College of EMS–funded project, “Predicting Soybean Yield and Key Drivers Using Machine Learning,” awarded in Spring 2025.
• Best Paper Award, IISE Annual Conference, Orlando, FL, USA, 2019.
• Best Paper Finalist, CSS Annual Conference, Santa Fe, NM, USA, 2018.
• Ph.D. Dissertation Fellowship, College of Engineering, University of Texas at Arlington, Summer 2020.
• Lawrence W. Stephens Endowed Scholarship, College of Engineering, University of Texas at Arlington, Spring 2020.
• Exceptional Innovation Contribution Award, Idaho National Laboratory, 2021, for developing the PyEmission Python library.
• Exceptional Innovation Contribution Award, Idaho National Laboratory, 2022, for developing the Comprehensive Manufacturing Assessment Tool (CMAT).

1. Rahman, MM, Jahan, J., Iqbal, G. M. D., & Hossain, M. J. “Evaluating CO₂ Emissions in Urban Traffic from Light-Duty Vehicles: A Comparative Study of Dhaka City and International Driving Cycles”. In: IISE Annual Conference. The Institute of Industrial and Systems Engineers; 2025. Paper Link
2. Rahman MM, Nguyen R, Severson M, Williams S, Hartley D. “A decision support tool for e-waste recycling operations using the hen-and-chicks bio-inspired optimization metaheuristic.” Decision Analytics Journal; Elsevier; 2023. Paper Link 
3. Rahman MM, Nguyen R, Hartley D, Williams S. “A Logistics Planning Tool for E-Waste Collection: Streamlining Sustainability and Efficiency” In: Proceedings of the 8th North American International Conference on Industrial Engineering and Operations Management, Houston, Texas, USA; 2023. Paper Link 
4. Rahman MM, Nguyen R, Lu L. “Multi-level impacts of climate change and supply disruption events on a potato supply chain: An agent-based modeling approach.” Agricultural Systems, Elsevier; 2022. Paper Link
5. Nguyen RT, Severson M, Zhang B, Vaagensmith B, Rahman MM, Toba AL, Price P, Ryan D, Williams S “Electric Grid Supply Chain Review: Large Power Transformers and High Voltage Direct Current Systems.” U.S. Department of Energy; 2022. Report Link
6. Rahman MM, Zhou Y, Rogers J, Chen V, Sattler M, Hyun K. “A Comparative Assessment of Environmental Emissions Between Gasoline and Electric Vehicles: A Well-To-Wheel Perspective.” Journal of Cleaner Production, Elsevier; 2021. Paper Link
7. Rahman MM, Ghasemi Y, Suley E, Zhou Y, Wang S, Rogers J. “Machine Learning Based Computer Aided Diagnosis of Breast Cancer Utilizing Anthropometric and Clinical Features.” Innovation and Research in Biomedical Engineering, Elsevier; 2021. Paper Link
8. Lu L, Nguyen R, Rahman MM, Winfree J. “Demand Shocks and Supply Chain Resilience: An Agent-Based Modelling Approach and Application to the Potato Supply Chain.” In: Risks in Agricultural Supply Chains. National Bureau of Economic Research, Inc; 2021. Paper Link
9. Rahman MM, Galvez M, Zhou Y. “Evaluation of ‘Crowd-informing’ on Parking Performance and Environmental Emissions: An Agent-Based Simulation of an Urban University Campus.” In: IISE Annual Conference. The Institute of Industrial and Systems Engineers; 2021. Paper Link
10. Ho AF, Zhou Y, Kirby JJ, Rahman MM, Tessitore K, Abdel-Raziq Y, et al. “Causal Effect Analysis of Demographic Concordance on Patient Perception of Physician Trust and Respect in an Emergency Care Setting.” Open Access Emergency Medicine; 2021. Paper Link
11. Rahman MM, Zhou Y, Wang S, Rogers J. “Wart Treatment Decision Support Using Support Vector Machines.” International Journal of Intelligent Systems and Applications. 2020;12(1):1-11. Paper Link
12. Rahman MM, Jahan J, Zhou Y. “Alleviating Traffic Congestion by the Strategy of Modal Shift from Private Cars to Public Transports: A Case of Dhaka City, Bangladesh.” CSSSA 2018, Springer Proceedings in Complexity, Springer; 2020, p. 101–15. Paper Link
13. Rahman MM, Zhou Y, Rogers J. “Performance Evaluation of Median U-Turn Intersection for Alleviating Traffic Congestion: An Agent-Based Simulation Study.” In: IISE Annual Conference. Orlando, FL: The Institute of Industrial and Systems Engineers; 2019. Paper Link
14. Rahman MM, Zhou Y. “Effectiveness of Public Buses to Mitigate Traffic Congestion in Dhaka City: An Agent Based Simulation Study.” In: IISE Annual Conference. Orlando, FL: Institute of Industrial and Systems Engineers; 2018. Paper Link
15. Rahman MM, Wang S, Zhou Y, Rogers J. “Predicting the Performance of Cryotherapy for Wart Treatment Using Machine Learning Algorithms.” In: IISE Annual Conference. Orlando, FL: The Institute of Industrial and Systems Engineers; 2019. Paper Link
16. Robinson RD., Dib ., Mclarty D, Shaikh ., Cheeti R, Zhou Y, Ghasemi Y, Rahman MM, Schrader CD, Wang H. “Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study.” PLoS One. 2020;15(2):e0228719. Paper Link
17. Rahman MM, Sarker S. “Demand Forecasting for Seasonal Demand Patterns: Case Study of a Pharmaceutical Company.” Journal of Production Research & Management. 2014;4(3):1-7. Paper Link
18. Rahman MM. “Mathematical Modeling and Optimization of Petroleum Products Transportation In Intermodal Network: A Green Supply Chain Approach.” (2015). Paper Link
19. Rahman MM, Ghasemi Y, Zhou Y. “Adolescent Smoking Behavior in European Countries: Influences of Belief and School-Related Factors.” EC Paediatrics, 2018;7:489–97. Paper Link
20. Rahman MM, Hartley DS, Nguyen RT “Self-Configuring Digital Twin for Optimizing E-Waste Recycling.” Idaho National Laboratory; 2022. Paper Link
21. Rahman MM, Nguyen T. “Python Library for Vehicular Emission Estimation.” Computer Software. USDOE Office of Energy Efficiency and Renewable Energy; 2021. Link.
22. Rahman MM, Hartley D, Nguyen T. “Comprehensive Manufacturing Assessment Tool (CMAT).” Computer Software. USDOE Office of Energy Efficiency and Renewable Energy; 2022. Link.