Department of Industrial and Production Engineering (IPE)

Md Muzahid Khan

Lecturer, Department of Industrial and Production Engineering (IPE)

Educational Qualifications:

Master of Science in Systems Engineering and Engineering Management

Institution Name: Fachhochschule Südwestfallen, Soest , 59494, Germany

Department: Department of Electrical Power Engineering

Topic of Thesis: Throughput Maximization using Curiosity based Multi-agent Reinforcement Learning for Job-Shop Scheduling Problems

Bachelor of Science in Industrial and Production Engineering

Institution: Khulna University of Engineering and Technology, Khulna, 9203, Bangladesh

Department: Department of Industrial Engineering and Management

Topic of Thesis: An Approach to Develop a Dynamic Job-Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority Rules


Professional Experience:

  1. Faculty Member (Lecturer): February 2021 – Present

Department: Department of Industrial and Production Engineering, MIST, Dhaka 1216, Bangladesh

  1. Research Assistant: May 2020 – August 2020

Institution: Fachhochschule Südwestfallen, Soest , 59494, Germany

Department: Department of Automation Technology

  1. Work Student: January 2020 – June 2020

Company: Infineon Technologies AG, Warstein, Germany

Department: Project Management

  1. Production Engineer: November 2015 – August 2017

Company: Pa Knit Composite Ltd, Mymensingh, Bangladesh

Department: Industrial Engineering


Awards and Honors:

  1. Dean’s List Scholarship
  • Academic session 2013- 2014
  • Academic session 2014-2015
  1. Education Board Scholarship
  • Higher Secondary Certificate Exam 2010
  • Secondary School Certificate Exam 2008

Technical Skills:

Programming Language: Python, Jupyter

Design Software: AutoCad, SolidWorks

Oprtimization Software: TORA; LINDO

Statstical Software: Minitab

Data Visualization: Python, Power BI, Tableau

MS Office Package: MS Office, MS Project, Excel, PowerPoint

Research Interests:

  • Reinforcement Learning
  • Machine Learning
  • Production Planning and Control
  • Manufacturing Engineering
  • Supply Chain Management

Research Work:

  1. Curiosity Based Reinforcement Learning on Robot Manufacturing Cell (IEEE ICIT 2021: International Conference on Industrial Technology, Valencia, Spain)
  2. An approach to develop a dynamic job shop scheduling by fuzzy rule-based system and comparative study with the traditional priority rules (American Journal of Engineering and Applied Sciences 2016)
  3. An approach for selecting the optimum and effective combinations of machines based on specific operations using fuzzy multi-criteria decision-making model (International Journal of Scientific & Engineering Research, Volume 6, Issue 10, ISSN 2229-5518)
  4. Fabrication, Reinforcement and Characterization of Metal Matrix Composites (MMCs) using Rice Husk Ash and Aluminum Alloy (A-356.2) (International Journal of Scientific & Engineering Research, Volume 7, Issue 3, ISSN 2229-5518)