Dr. Md Mamunur Rahman

Dr. Mamunur Rahman is an Assistant Professor of Industrial and Systems Engineering at the University of Wisconsin-Platteville. Dr. Rahman's research interests include Supply Chain (SC) resilience, green logistics, and process improvement using computer simulation, optimization, and machine learning. He was one of the key contributors to the deep dive assessment report on the electric grid and High Voltage Direct Current Supply Chain (HVDC SC) for the Office of Electricity and Advanced Manufacturing Office in response to the President's Executive Order 14017 on America’s Supply Chains. 

Furthermore, Dr. Rahman has published 17 scientific articles in renowned journals and conferences, including two book chapters. His research papers have received recognition, with best paper awards at conferences such as the Institute of Industrial and Systems Engineers annual conference in 2019, and the Computational Social Science Society of the Americas annual conference in 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 time at Idaho National Laboratory.

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

• Best Paper Award in the IISE 2019 Annual Conference, Orlando, FL, USA.
• Best Paper Finalist in the CSS 2018 Annual Conference, Santa Fe, NM, USA.
• Ph.D. Dissertation Fellowship in Summer 2020, College of Engineering, University of Texas at Arlington.
• Lawrence W. Stephens Endowed Scholarship in Spring 2020, College of Engineering, University of Texas at Arlington.
• Exceptional Innovation Contribution Award in 2021 for developing the PyEmission Python library, Idaho National Laboratory.
• Exceptional Innovation Contribution Award in 2022 for developing the Comprehensive Manufacturing Assessment Tool (CMAT), Idaho National Laboratory.

1. 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 
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. Rahman MM. “Mathematical Modeling and Optimization of Petroleum Products Transportation In Intermodal Network: A Green Supply Chain Approach.” (2015). Paper Link
17. 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
18. Rahman MM, Hartley DS, Nguyen RT “Self-Configuring Digital Twin for Optimizing E-Waste Recycling.” Idaho National Laboratory; 2022. Paper Link
19. Rahman MM, Nguyen T. “Python Library for Vehicular Emission Estimation.” Computer Software. USDOE Office of Energy Efficiency and Renewable Energy; 2021. Link.
20. Rahman MM, Hartley D, Nguyen T. “Comprehensive Manufacturing Assessment Tool (CMAT).” Computer Software. USDOE Office of Energy Efficiency and Renewable Energy; 2022. Link.