Research Interests

Operations research, network optimization, infrastructure resilience, stochastic programming, machine learning-integrated decision models, and prescriptive analytics for disaster response

Academic Credentials  

B.Sc. in Industrial and Production Engineering                      (February 2020-April 2024)                                                                

Department of Industrial and Production Engineering  

Military Institute of Science and Technology (MIST)

Undergraduate Thesis

Reverse Logistics Network Design for Semiconductor Supply Chain                            (March 2023-April 2024)

• Built a mixed-integer linear program (MILP) that integrates forward and reverse logistics to mitigate semiconductor chip shortages; implemented and solved in IBM ILOG CPLEX.
• Designed a quick response reverse logistics network to recover, test, and redeploy functional chips, reducing the need for new facilities and shortening delivery lead times through cost efficient flows.
• Competencies: supply-chain modeling & optimization (MILP), reverse logistics strategy, CPLEX modeling/analysis.

Research and Publications

Conference Proceedings

1. Alam, S. T., Sagor, E., Ahmed, T., Haque, T., Mahmud, M. S., Ibrahim, S., Shahjahan, O., & Rubaet, M. (2023). A comparative analysis of assignment problem. In A. Haldorai, A. Ramu, & S. Mohanram (Eds.), Big Data Innovation for Sustainable Cognitive Computing (pp. 125–142). Springer Nature. https://doi.org/10.1007/978-3-031-28324-6_11
2. Alam, S. T., Sagor, E., Ahmed, T., Haque, T., Mahmud, M. S., Ibrahim, S., & Rubaet, M. (2022, December 20-22). Assessment of assignment problem using Hungarian method. In Proceedings of the 1st Australian Conference on Industrial Engineering and Operations Management, Sydney, Australia.
3. Alam, S. T., Sagor, E., Ahmed, T., Haque, T., & Mahmud, M. S. (2022). A comparative analysis of balanced transportation problems. In Proceedings of the International Conference on Mechanical Engineering and Applied Sciences (ICMEAS 2022). Military Institute of Science & Technology, Dhaka, Bangladesh.

Teaching Experience

Lecturer                                                                                                                                     (November 2024 – Present)

Department of Industrial and Production Engineering, Military Institute of Science and Technology (MIST)

• Theory courses: IPE 101 – Introduction to Industrial and Production Engineering, IPE 107 – Engineering Economy, MATH 215 – Numerical Analysis, IPE - Measurement Instrumentation and Control, IPE 317 – Ergonomics and Safety Management, IPE 419 – Modeling and Simulation.
• Sessional: IPE 200 – Engineering Graphics and CAD Sessional, IPE 206 – Probability and Statistics Sessional, IPE 306 – Operations Research Sessional, IPE 318 – Ergonomics and Safety Management Sessional.
• Mentor and advise students on class projects, undergraduate theses, and career planning, with emphasis on applying industrial engineering tools to real-world problems.
• Contribute to curriculum design by incorporating modern optimization software and simulation practices, aligning coursework with current industry standards and research frontiers.

Professional Experience

Industrial Training                                                                                                                   (February 2023)                       

British American Tobacco Bangladesh                                                                                

• Completed 'Manual Management' and 'Project Apollo Dashboard' projects that solved real-life problems faced by the company.
• Gained expertise in Microsoft Power BI and gathered experience in creating data visualizations, analyzing data, and presenting insights. 
• Recognized as a top-performing trainee in the Industrial Attachment Program for exceptional performance and rapid skill acquisition.

Academic Awards and Honors  

Dean’s List of Honor                                                                                                                (2020 -2023)

• Awarded for graduating with a CGPA above 3.75, considering the results of the entire program.

University Merit Scholarship                                                                                                    (2021- 2023)   

• Awarded for achieving the top three class positions in a semester.

National Education Board Scholarship 

• Scholarship in Higher Secondary Certificate Examination                                                   (2019)      

Software Efficiency

• Programming: C, C++, Python
• Optimization Software: CPLEX
• Computer-aided Design: SOLIDWORKS, CATIA                           
• Statistical Software: Minitab, SPSS
• Simulation Software: Arena
• Microsoft Power BI
• Microsoft Office