Salman Ibrahim Saad
Lecturer
Department of Industrial and Production Engineering (IPE)
Email: salman@ipe.mist.ac.bd
Contact No: +8801703594958
Academic Qualification
- B.Sc. in Industrial and Production Engineering
Military Institute of Science & Technology (MIST)
Date of Graduation: March, 2024
- Higher Secondary Certificate
Adamjee Cantonment College (Year of Passing: 2019)
- Secondary School Certificate
Monipur High School and College (Year of Passing: 2017)
Awards & Honors
- MIST Dean’s List of honor – 2020.
Academic Session 2020-2021
- MIST Dean’s List of honor – 2021.
Academic Session 2021-2022
- MIST Dean’s List of honor – 2022.
Academic Session 2022-2023
- Graduated with MIST Dean’s List of Honor.
- Received University Merit Scholarship in level 1, level 3 and level 4 during undergraduate study at Military Institute of Science and Technology (MIST)
- Education Board Scholarship
Higher Secondary Certificate Exam 2019
- Champion of CAD Design Contest -2021 (Intra University 3D Product Design Contest; organized by MIST)
- 2nd Runner-up in CADSTAR-2022 (Inter University 3D Product Design Contest; organized by MIST)
Professional Experience
- Lecturer, Department of IPE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka-1216, Bangladesh.
Duration: April 2024 – Present
- NESTERN Supply Chain Intern, Nestlé Bangladesh PLC.
Duration: February 2024 – March 2024.
- Industrial Attachment, Unilever Bangladesh Limited.
Duration: February 2023 – March 2023.
Technical Skills
Programming Language: C, Python.
Optimization Software: Gurobi, CPLEX.
Design Related Software: Solid Works, CATIA.
Simulation Software: Arena.
Data Analytical Software: Minitab, Microsoft Excel, Power BI.
Research Interest
Electric Vehicles
Network Optimization
Automation
Supply Chain Management
Research Work
[1] Undergraduate Thesis: A Comparative Study of Electric Vehicle Routing Problems
[2] A Comparative Analysis of Assignment Problem (In EAI/Springer Innovations in Communication and Computing (pp. 103-112). DOI: 10.1007/978-3-031-28324-6_11)
[3] Assessment of Assignment Problem using Hungarian Method. (In Proceedings of the First Australian International Conference on Industrial Engineering and Operations Management, Sydney, Australia, December 20-21, 2022 (pp. TBD).)
Academic Experience
Theory Course:
GESL-313: Environment, Sustainability and Law (Spring 24)
GEEM-343: Engineering Ethics and Moral Philosophy (Spring 24)
Sessional Course:
Shop-172: Machine Shop Practice (Spring 24)
IPE-202: Manufacturing Processes I Sessional (Spring 24)
IPE-302: Measurement, Instrumentation and Control Sessional (Spring 24)
IPE-306: Operations Research Sessional (Spring 24)
IPE-450: Business Communication Seminar (Spring 24)
