Naimur Rahman Chowdhury
Naimur Rahman Chowdhury
Embedded Files
I am a PhD student and Graduate Research Assistant in Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. My current research focuses on humanitarian logistics, notably the hunger-relief supply chain under extreme events. I use stochastic optimization, integer programming, and statistical learning methods for solving problems in multidisciplinary projects funded by U.S. National Science Foundation (NSF) [Award#2125600 , Award#2234598]. Previously, I was a lecturer in the Department of Mechanical and Production Engineering at Ahsanullah University of Science and Technology before joining NC State. My bachelor's degree was in industrial and Production Engineering at Bangladesh University of Engineering and Technology (BUET). I have previously worked on different domains in industrial engineering, notably optimization under uncertainty, machine learning to predict patterns for quality control in production, and multicriteria decision-making for sustainable and resilient supply chains.
I am a PhD student and Graduate Research Assistant in Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University. My current research focuses on humanitarian logistics, notably the hunger-relief supply chain under extreme events. I use stochastic optimization, integer programming, and statistical learning methods for solving problems in multidisciplinary projects funded by U.S. National Science Foundation (NSF) [Award#2125600 , Award#2234598]. Previously, I was a lecturer in the Department of Mechanical and Production Engineering at Ahsanullah University of Science and Technology before joining NC State. My bachelor's degree was in industrial and Production Engineering at Bangladesh University of Engineering and Technology (BUET). I have previously worked on different domains in industrial engineering, notably optimization under uncertainty, machine learning to predict patterns for quality control in production, and multicriteria decision-making for sustainable and resilient supply chains.
Graduate Research Assistant
Edward P. Fitts Department of Industrial and Systems Engineering
North Carolina State University
Raleigh, NC, 27606
Lecturer (on leave)
Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka, 1208
Education
Education
[2022] - []
Ph.D., Industrial Engineering, North Carolina State University, Raleigh, NC.
Courses: Linear Optimization, Statistical Learning, Integer Programming, Dynamic Programming, Stochastic Programming, Social Computing and Distributed Artificial Intelligence
[2022] - [2023]
Master in Industrial Engineering, North Carolina State University, Raleigh, NC.
GPA: 4.00/4.00
Courses: Linear Optimization (ISE 505), Logistics Engineering (ISE 754), Statistical Models for System Analytics, Experimental Statistics
[2015] - [2019]
B.Sc., Industrial and Production Engineering, Bangladesh University of Engineering and Technology (BUET).
Position/Class Rank: Third
Dissertation: "Control Chart Pattern Recognition for a Consumer Product Using Maximal Information Coefficient."
Research Interest
Research Interest
Humanitarian logistics
Stochastic & robust optimization
Statistical learning
Hunger-relief supply chain
Emergency Response
Publication and Proceedings
Publication and Proceedings
Journal Articles
1. Chowdhury, N. R., Janan, F, Mahmud, P, Liza, S A, Paul, S K (2022), Assessing strategies to mitigate the impacts of a pandemic in apparel supply chain, Operations Management Research, https://doi.org/10.1007/s12063-022-00345-w
2. Chowdhury, N R, Ahmed, M, Mahmud, P, Paul, S K, Liza (2022). Modeling a sustainable vaccine supply chain for a healthcare system, Journal of Cleaner Production, Volume 370, 2022, 133423, ISSN 0959-6526, https://doi.org/10.1016/j.jclepro.2022.133423.
3. Naimur Rahman Chowdhury, Priyabrata Chowdhury, Sanjoy Kumar Paul (2022), Sustainable practices and their antecedents in the apparel industry: A review, Current Opinion in Green and Sustainable Chemistry, 2022, 100674, ISSN 2452-2236, https://doi.org/10.1016/j.cogsc.2022.100674.
4. Janan, F., Chowdhury, N.R. & Zaman, K. (2022). A New Approach for Control Chart Pattern Recognition Using Nonlinear Correlation Measure. SN Computer Science, 3(5), 358. https://doi.org/10.1007/s42979-022-01243-5
5. Liza, S.A., Chowdhury, N.R., Paul, S.K., Morshed, M., Morshed, S.M., Bhuiyan, M.A.T. and Rahim, M.A. (2022), "Barriers to achieving sustainability in pharmaceutical supply chains in the post-COVID-19 era", International Journal of Emerging Markets, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJOEM-11-2021-1680
6. Torsha, T., Manzur, T., Chowdhury, N. R., & Hasan, M. (2022). Significance of integrating probabilistic performance-based cover design in local construction guidelines for adequate serviceability of coastal built environment: Bangladesh perspective. Natural Hazards, 1-28. DOI: 10.1007/s11069-022-05213-1
Conference Proceedings
1. Chowdhury, N.R. and Janan, F., 2020. Control Chart Pattern Recognition: A Comparison between Statistical Correlation Measure and Support Vector Machine (SVM). In Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management, Detroit. (pp. 1263- 1272).
2. Chowdhury, N. R., Liza, S. A., Tanvir, S., Raj, A. S., Mohajon, P. (2021). Recognizing Critical Drivers to Mitigate Supply Chain Disruptions in Pharmaceutical Industry During COVID-19. In Proceedings of the 2nd South American International Conference on Industrial Engineering and Operations Management, Sao Paulo, Brazil.
3. Islam, M. D. A ., Roy, S., Supriti, N. F., Chowdhury, N. R. (2021). Assessing Disruptive Crises of Supply Chain in Firms Amidst COVID-19: An application of Multi Category-SVM using k-means Clustering, In Proceedings of the 2nd South American International Conference on Industrial Engineering and Operations Management, Sao Paulo, Brazil.
4. Liza, S. A., Chowdhury, N. R., Rayhan, MD. R. (2021). Assessing Performance and Improving Productivity Through Identification of Sewing Defects: A Multi-Criteria Based Case Study in an Apparel Firm in Bangladesh. In Proceedings of the 2nd South American International Conference on Industrial Engineering and Operations Management, Sao Paulo, Brazil.
Page updated
Google Sites
Report abuse