Department of Industrial and Production Engineering (IPE)

Moddassir Khan Nayeem

Lecturer, Department of Industrial and Production Engineering (IPE)

RESEARCH INTEREST

  • Operations research
  • Humanitarian logistics
  • Stochastic programming
  • Robust optimization
  • Supply chain management
  • Reverse logistics

CURRENT PROFESSIONAL ACTIVITIES

  • Lecturer, Department of Industrial and Production Engineering,

Military Institute of Science and technology

PREVIOUS PROFESSIONAL EXPERIENCE

  • Lecturer, Department of Industrial and Production Engineering, American International University-Bangladesh (January 2020 to September 2021)
  • Graduate research assistant at Engineering and Computational Optimization   Laboratory (ECOLAB) (September 2017 to August 2019)    Website: https://ecolab.pusan.ac.kr/ecolab/index..do
  • Graduate research assistant at Quality and Reliability Engineering Laboratory (QRE) (September 2017 to August 2019)    https://ieqre.pusan.ac.kr/qre/index.do
  • Graduate teaching assistant at Industrial Engineering department, Pusan National University (September 2017 to August 2019)   

EDITORIAL BOARD MEMBER

EDUCATION

  • M.Sc. in Industrial Engineering, 2019, Pusan National University, Busan, Korea
  • B.Sc. in Industrial and Production Engineering, 2016, Ahsanullah University of Science and Technology, Bangladesh
  • Higher Secondary Certificate (HSC) Science Group, Dhaka board, 2010, Dhaka Residential Model College
  • Secondary School Certificate (SSC) Science Group, Dhaka board, 2008 ,Aftab Uddin High School

AWARDS AND HONORS

Government talent pool scholarship on both 5th and 8th standard

Secondary School Certificate Exam, 2008

BK20 (Brain Korea) Scholarship

Receiving conference grant from Graduate school of Engineering of Pusan National Universit

MASTER’S THESIS

Title: Optimal Design of Relief Distribution Networks Considering Uncertainty

Supervisor: Professor Won Young Yun

Department of Industrial Engineering, Pusan National University

UNDERGRADUATE THESIS

Title: Analysis of the present layout and new DPP (Development Project proposal) of Eastern tubes Ltd and suggestion for further improvement

Supervisor: Dr. Shyamal Kanti Biswas, Professor, Department of Mechanical and Production Engineering, Ahsanullah University of Science and Technology

COMPUTER SKILLS

Programming Skill: C++

Optimization software: CPLEX, LINGO, MATLAB

Design software: SOLIDWORK, AUTOCAD

ATTENDED CONFERENCE

  • International conference on “Advances in Production Management Systems 2018 (APMS)”, Seoul National University, Seoul, Korea, 26-31 August 2018
  • “The 48th international conference on Computer and Industrial Engineering (CIE48)”, The University of Auckland, New Zealand, 2nd-5th December 2018.

PUBLICATIONS

  1. Nayeem MK, Lee GM. Robust Design of Relief Distribution Networks Considering Uncertainty. Sustainability. 2021; 13(16):9281.
  1. Hezam, Ibrahim M., Moddassir khan Nayeem, Abdelaziz Foul, and Adel Fahad Alrasheedi. "COVID-19 Vaccine: A Neutrosophic MCDM Approach for Determining the Priority Groups." Results in Physics (2020): 103654.
  1. Hezam, I.M.; Nayeem, M. A Systematic Literature Review on Mathematical Models of Humanitarian Logistics. Symmetry 2021, 13, 11.
  1. Gao Xuehong, Moddassir Khan Nayeem, and Ibrahim M. Hezam. 2019. "A Robust Two-Stage Transit-based Evacuation Model for Large-Scale Disaster Response." Measurement, 145(10): 713-723
  2.  Moddassir Khan Nayeem, Ashik Takbir, MD. Robiul Islam. 2016. “ Managing Inventory for Perishable Product, Sensitivity Analysis for Product ‘X’ and Suggestion for Appropriate Purchase Model for a Local Retail Shop ‘SHWAPNO’”, International Journal of Science & Engineering Research, 7(11): 775-779
  3. Moddassir Khan Nayeem, Akif Rahman Shihab. 2016. “Analysis of Present Layout of Eastern Tubes Ltd. and Suggestions for Further Improvement”, Impact: International Journal Of Research in Engineering and Technology (IMPACT: JRET), 4(11):1-8

Conference Proceedings:

  • Nayeem, M.k., Lee, G.M. 2018. "A stochastic programming model for multi-commodity distribution in the second disaster response”, 48th International Conference on Computers & Industrial Engineering, Auckland, New Zealand, p.1386-1397