MIST Applications

Department of Industrial and Production Engineering (IPE)

Salman Ibrahim Saad

Lecturer, Department of Industrial and Production Engineering (IPE)

Academic Qualifications

B.Sc. in Industrial and Production Engineering
Military Institute of Science & Technology (MIST)
Date of Graduation: April 2024

Higher Secondary Certificate (HSC)
Adamjee Cantonment College (Year of Passing: 2019)

Secondary School Certificate (SSC)
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
  • University Merit Scholarship
    Awarded in Level 1, 2, 3, and 4 during undergraduate studies at MIST
  • Education Board Scholarship
    Higher Secondary Certificate Exam 2019
  • Champion, CAD Design Contest 2021
    (Intra-University 3D Product Design Contest organized by MIST)
  • 2nd Runner-up, 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 Languages: C, Python, PLC (Ladder Logic)
  • Optimization Software: GUROBI, CPLEX
  • Statistical Software: SPSS, Minitab
  • Simulation Software: Arena
  • Design Software: SolidWorks, CATIA
  • Other Software: Microsoft Office Suite, Power App, Power BI

Research Interests

  • Supply Chain Management
  • Machine Learning
  • Job Sequencing
  • Transportation and Logistics optimization
  • Mixed Integer Linear Programming
  • Numerical Analysis

Research Work

[1] Undergraduate Thesis
A Comparative Study of Electric Vehicle Routing Problems
Selected Publications
[2] Conference paper

Alam, S. T., Sagor, E., Ahmed, T., Haque, T., Mahmud, M. S., Ibrahim, S., Shahjahan, O., & Rubaet, M. Assessment of Assignment Problem using Hungarian Method. https://ieomsociety.org/proceedings/2022australia/498.pdf
[3] Book chapter
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. 5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (A. Haldorai, A. Ramu, & S. Mohanram (eds.); pp. 125–142). Springer Nature Switzerland. doi: https://doi.org/10.1007/978-3-031-28324-6_11


Academic Experience

 

Theory Courses:

  • IPE 107: Engineering Economy (Fall 24)
  • IPE 205: Probability and Statistics (Fall 24)
  • MATH 215: Numerical Analysis (Fall 24)
  • GESL 313: Environment, Sustainability and Law (Spring 24)
  • GEEM 343: Engineering Ethics and Moral Philosophy (Spring 24)

Sessional Courses:

  • ME 160: Engineering Drawing (Fall 24)
  • SHOP 172: Machine Shop Practice (Spring 24)
  • IPE 202: Manufacturing Processes I Sessional (Spring 24)
  • IPE 206: Probability and Statistics Sessional (Fall 24)
  • IPE 302: Measurement, Instrumentation and Control Sessional (Spring 24)
  • IPE 306: Operations Research Sessional (Spring 24)
  • IPE 412: CAD/CAM Sessional (Fall 24)
  • IPE 450: Business Communication Seminar (Spring 24)