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Full Time Faculty Phone: +880-2-55668200 EXT. Curriculum Vitae |
Dr. Mahmud Parvez is an Assistant Professor in the Department of Management at North South University. He earned his Ph.D. in Industrial Engineering from the University of Louisville, USA. Dr. Parvez specializes in Data Analytics and Operations Research, with a particular focus on optimizing manufacturing systems and enhancing operational efficiency. His research interests also include the application of machine learning in supply chain management and business operations, bridging technical innovation with managerial decision-making. He is passionate about teaching and applied research, and he teaches courses in operations management, operations research, supply chain management, and quality control, engaging students from both business and engineering backgrounds. Dr. Parvez has published in Computers & Industrial Engineering and continues to advance work aligned with high-impact journals such as Computers & Operations Research and Business Strategy and the Environment, and he also serves as a reviewer for leading journals, including INFORMS Journal on Applied Analytics and IISE Transactions on Healthcare Systems Engineering. He is committed to bridging engineering-based analytical approaches with business education, advancing knowledge at the intersection of engineering and management in alignment with the mission of preparing future business leaders.
JOURNAL ARTICLE (in submission)
• Parvez, M., Parikh, P. J., Aqlan, F., Noor-e-Alam, M., & Saha, C. (Under Review). Energy-Smart Production Scheduling: A Bi-Objective Machine Learning-Matheuristic Approach. Submitted to European Journal of Operational Research (IJPR).
PEER-REVIEWED JOURNAL
1. Parvez, M., Parikh, P. J., Aqlan, F., & Noor-e-Alam, M. (2024). An online dynamic dual bin packing with lookahead approach for server-to-cell assignment in computer server industry. Computers & Industrial Engineering, 110404.
2. Islam, M. S., Sarker, S., & Parvez, M. (2019). Production efficiency improvement by using Tecnomatix simulation software and RPWM line balancing technique: A case study. American Journal of Industrial and Business Management, 9(04), 809.
3. Shakil, S. I., & Parvez, M. (2018). Application of lean manufacturing in a sewing line for improving Overall Equipment Effectiveness (OEE). American Journal of Industrial and Business Management, 8(9), 1951-1971.
4. Parvez, M., Ullah, N., Sabuj, M. A., & Islam, S. (2018). Profit maximization of DELL Inc. through Build-to-Order supply chain for laptop manufacturing. American Journal of Industrial and Business Management, 8(06), 1657.
5. Parvez, M., Amin, F., & Akter, F. (2017). Line balancing techniques to improve productivity using work sharing method. IOSR Journal of Research & Method in Education (IOSRJRME), 7(03), 07-14.
6. Parvez, M., Amin, M. B., & Rahman, M. F. (2017). A Case Study-Based Simulation of Green Supplier Selection Using FMCDM and Order Allocation through MOLP. IOSR Journal of Business and Management, 19(6), 62-68.
7. Rahman, M. F., Amin, M. B., & Parvez, M. (2014). Application of AHP in Development of Multi-Criteria Ergonomic Approach for Choosing the Optimal Alternative for Material Handling-A Case Study and Software Development to Facilitate AHP Calculation. International Journal of Engineering Research, 3(6)
CONFERENCE PROCEEDINGS
1. Mahmud, P., Parikh, P. J., Aqlan, F., Noor-E-Alam, M., and Saha, C. (2024), “Online Dynamic Dual Bin Packing with Lookahead for Production Scheduling in Computer Server Industry,” Proceedings of Industrial and Systems Engineering Research Conference, Montreal, Canada. (Submitted for Best Paper Award; publication withheld upon request).
2. Qu, X., Seong, Y., & Parvez, M. (2022). Simulation Modeling of Hurricane Evacuations in Eastern North Carolina. In IISE Annual Conference. Proceedings (pp. 1-6). Institute of Industrial and Systems Engineers (IISE).
3. Parvez, M., Eshun, R. B., Bikdash, M., & Islam, A. K. (2021, December). A Machine Learning Predictive Model to Classify Severity of Breast Cancer Based on Mammographic Mass Dataset. In 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) (pp. 81-87). IEEE.
4. Shakil, S. I., & Parvez, M. (2020). Application of value stream mapping (VSM) in a sewing line for improving overall equipment effectiveness (OEE): A case study. In Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES 2019 (pp. 249-260). Springer Singapore.
BOOK CHAPTER
•Shakil, S. I., & Parvez, M. (2020). Application of value stream mapping (VSM) in a sewing line for improving overall equipment effectiveness (OEE): A case study. In Intelligent Manufacturing and Energy Sustainability: Proceedings of ICIMES 2019 (pp. 249-260). Springer Singapore.
Ph.D.
Industrial Engineering, J.B. Speed School of Engineering, University of Louisville (UofL), KY, USA
August 2021-May 2025
Dissertation: Online Optimization with Lookahead for Dynamic Assignment and Energy-Smart Scheduling in Manufacturing
(Supervisor: Dr. Pratik J. Parikh)
M.Sc.
Industrial and Systems Engineering, North Carolina A&T State University, USA
August 2019-July 2021
Project: A Simulation Study of Hurricane Evacuations in Eastern North Carolina (Supervisor: Dr. Xilui Qu).
B.Sc.
Industrial Engineering and Management, Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh
March 2010-October 2014
Thesis: “A case study-based simulation of green supplier selection using FMCDM and order allocation through MOLP
(Supervisor: Dr. Md. Fashiar Rahman)
Lecturer/Assistant Professor
Khulna University of Engineering & Technology, Khulna, Bangladesh
April 2015-August 2019 and April 2025-September 2025
BUS 135 (Applied Business Mathematics)
BUS 173 (Applied Statistics)
MGT 314 (Introduction to Operations and Supply Chain Management)
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Data Analytics and Operations Research, Supply Chain Management |