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Md Mamunur Rahman, Ph.D.

Research Areas:

Biography:

Dr. M.M. Rahman is a postdoctoral research fellow in Idaho National Laboratory’s Systems Science & Engineering department. He received his Ph.D. in Industrial Engineering from the University of Texas at Arlington in 2020. His research interests include agent-based modeling, discrete event simulation, machine learning, and optimization with applications in transportation, supply chain resilience, green logistics, healthcare, and process improvement. To date, Dr. Rahman has authored 15 scientific articles in leading journals, and conferences with two book chapters. One of his articles received the best paper award in the Institute of Industrial and Systems Engineers annual conference 2019, and another one received the best paper finalist award in the Computational Social Science Society of the Americas annual conference 2018. Dr. Rahman is the author of “PyEmission”, a Python library for vehicular emission estimation, and the lead developer of the software “Recycle Planner”, a decision support tool for optimizing electronic waste recycling processes. Besides three years of academic work experience as a full-time faculty, Dr. Rahman worked for several fortune 500 companies in various supply chain and manufacturing roles.

Education:

​Ph.D., Industrial Engineering - The University of Texas at Arlington

B.S., Industrial and Production Engineering - Bangladesh University of Engineering and Technology (BUET)

Publications:

Rahman MM, Zhou Y, Rogers J, Chen V, Sattler M, Hyun K. A comparative assessment of CO2 emission between gasoline, electric, and hybrid vehicles: A Well-To-Wheel perspective using agent-based modeling. Journal of Cleaner Production. 2021 Oct 25;321 https://doi.org/10.1016/j.jclepro.2021.128931


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, 2021. https://doi.org/10.1016/j.irbm.2020.05.005


Rahman MM, Galvez MA, 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. Proceedings. Institute of Industrial and Systems Engineers (IISE), 2021.


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. National Bureau of Economic Research; 2021 Aug 30.  https://doi.org/10.3386/w29166


Rahman, Mamunur MD, Nguyen, Thuy, and USDOE Office of Energy Efficiency and Renewable Energy. Python Library For Vehicular Emission Estimation. Computer software. August 6, 2021. https://www.osti.gov//servlets/purl/1814184. https://doi.org/10.11578/dc.20210820.4


Ho AF, Zhou Y, Kirby JJ, Rahman MM, Tessitore K, Abdel-Raziq Y, d'Etienne JP, Schrader CD, Wang H. Causal Effect Analysis of Demographic Concordance of Physician Trust and Respect in an Emergency Care Setting. Open access emergency medicine: OAEM. 2021;13:503


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. https://doi.org/10.5815/ijisa.2020.01.01


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. https://doi.org/10.1007/978-3-030-35902-7_7


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.


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.


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.


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. https://doi.org/10.1371/journal.pone.0228719


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.


Rahman MM. Mathematical Modeling and Optimization of Petroleum Products Transportation In Intermodal Network: A Green Supply Chain Approach. (2015).


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.​


Presentations:

​Oral Presentations:

Rahman MM, Zhou Y, Rogers J. Performance Evaluation of Median U-Turn Intersection for Alleviating Traffic Congestion: An Agent-Based Simulation Study. In: Institute of Industrial and Systems Engineers Annual Conference. Orlando, FL; 2019.


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. In: Computational Social Science Society of the Americas; 2018.


Rahman MM, Wang S, Zhou Y, Rogers J. Predicting the Performance of Cryotherapy for Wart Treatment Using Machine Learning Algorithms. In: Institute of Industrial and Systems Engineers Annual Conference. Orlando, FL; 2019.


Poster Presentations:

Rahman MM, Zhou Y. Effectiveness of Public Buses to Mitigate Traffic Congestion in Dhaka City: An Agent Based Simulation Study. In: Institute of Industrial and Systems Engineers Annual Conference. Orlando, FL; 2018.

Awards:

Best Paper Award in the Institute of Industrial and Systems Engineers annual conference 2019, Orlando, FL, USA.


Best Paper Finalist (top 5) in the Computation Social Science Society of the Americas annual conference 2018, Santa Fe, NM, USA.


PhD 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.

Research Interests:

​Simulation: Agent-based, Discrete Event, and System Dynamics modeling. Applications in supply chain resilience, green logistics, vehicular emission modeling, and process improvement.


Machine Learning: Applications in computer aided disease diagnosis and anomaly detection.


Optimization: Applications in supply chain network.

Version: 14.0
Created at 4/5/2021 12:14 PM by hailey.goddard@inl.gov
Last modified at 2/14/2022 10:47 AM by rachel.foist@inl.gov