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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. His ongoing projects are focused on evaluation of logistics systems for collection, processing and production of secondary feedstocks from e-waste and a quantitative approach to multiple critical supply chain resilience assessment. He earned his doctorate in industrial engineering from University of Texas at Arlington. He holds a bachelor’s in industrial and production engineering from Bangladesh University of Engineering and Technology (BUET). His interests and competencies include applications in computer-aided disease diagnosis and anomaly detections. At UT Arlington he developed a machine learning model that predicts the probability of having breast cancer utilizing features obtained from regular blood test reports, with a journal article following in Science Direct.​

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:

In review:

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.


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.


Publications:

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; 2020. https://doi.org/10.1016/j.irbm.2020.05.005.


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: 10.0
Created at 4/5/2021 12:14 PM by hailey.goddard@inl.gov
Last modified at 4/6/2021 1:09 PM by hailey.goddard@inl.gov