Shahriar Hasan Ratul is a Lecturer in the Department of Industrial Engineering and Management at Khulna University of Engineering and Technology (KUET). He holds a Bachelor of Science in Industrial and Production Engineering (IPE) from KUET, where he graduated as the top student in his department with a CGPA of 3.90. He is currently pursuing a Master’s degree in Industrial Engineering and Management at the same institution.
Shahriar’s research interests lie in Supply Chain Management, Structural Equation Modeling, Reverse Logistics, Sustainability, and Conjoint Analysis. He is developing skills in Machine Learning and Artificial Intelligence. His future research focuses on integrating these technologies into supply chain management, especially in strategic fit and supply chain resilience.
In addition to his academic and research pursuits, Shahriar was a Teaching Assistant, mentoring students and supporting departmental activities. Known for his dedication and focus, he is passionate about contributing to advancing industrial engineering and inspiring future engineers.
You are most welcome to reach out to me for academic collaborations or any research inquiries.
Last Update:August 21, 2025 01:51
Preferred Research Method:
Using Gurobi Optimizer
Trees and Graphs, Hashing, Structured Programming
1.“Data Structures” by Seymour Lipschutz (Schaum’
It explains how simplex-based sensitivity analysis is used to provide important economic interpretations about the optimum solution, including the dual prices and the reduced cost.
Resource Assignment Problem with a budget constraint
Learn the basics of mathematical optimization modeling with this tutorial. It covers key components of optimization problems, building a mixed-integer programming (MIP) model using the Gurobi Python API, and generating optimal solutions with the Gurobi Optimizer.