Research Interests

Methodologies: Optimization, Stochastic Decision Models, Data-driven Machine Learning
Application Areas: Logistics, Energy Systems, Healthcare

Journals/Conferences

• Md Abrar Jahin, Asef Shahriar, Md Al Amin (2025). MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model. Evolutionary Intelligence, 18(3), 1-27.
  Contribution: Conceptualization, Methodology, Software implementation, Data curation, and visualization, Writing - Original draft preparation.


• Md Al Amin, Azizur Rahman, Asef Shahriar (2020). Application of Theory of Constraints in Supply Chain Management. International Conference on Mechanical, Industrial and Energy Engineering 2020, ICMIEE20-188-(1-7). 19-21 December, 2020, Khulna, Bangladesh.
  Contribution: Methodology, Visualization, Formal analysis, Writing - Review and Editing.

Ongoing Projects

• Two-Stage Community Resilience Prediction Model Integrating Grey and Rough Set Theories
  Highlights: Developing a periodic prediction model that combines grey theory and rough set theory, validated through a case study to assess its effectiveness.
  Mentor: Dr. Niamat Hossain


• Analyzing the Challenges of Smart Grid Implementation in Bangladesh Using Grey Influence Analysis
  Highlights: Applying Grey Influence Analysis (GINA) to explore and understand challenges in smart grid implementation.


• Modeling and Optimization of Aluminum Alloy Drilling Operation - Research Assistant
  Responsibility: Performing machining operations according to experimental design, funded by the University Grants Commission Bangladesh.
  Project Director: Dr. Mst. Nazma Sultana