Md. Montasir Rahman

Md. Montasir Rahman

Senior Research Assistant

Area of Expertise: Python; PostgreSQL; Kobo Toolbox; SurveyCTO; STATA PowerBI; Canva

Joins MOMODa: 12/01/2025

Email: 

montasir@momodafoundation.org

montasirrahmanhridoy@gmail.com

 

Education: 

Bachelor of Science in Computer Science and Engineering, Green University of Bangladesh;

Higher Secondary Certificate (HSC), Birshrestha Munshi Abdur Rouf Public College;

Secondary School Certificate (SSC), Dhanmondi Govt. Boys’ High School

 

Publications/Research: 

  1. A Raspberry Pi Driven Autonomous Humanoid Robot for Advanced Applications
  2. A New Association Rule Mining Technique
  3. From Intuition to Insights: Potential of Data-Driven Decision Making for Sustainable Business Growth in Bangladesh Amidst Limited Adoption (4th International Conference on Innovation and Transformation for Development (ITD-2025))
  4. Text-Based Comparative Assessment of AI Chatbots’ English and Bengali Responses to Evaluate Gender Bias (Planet LangLit 2026: International Conference on Language, Literature and Cultural Studies)
  5. A Physics-Grounded Explainable AI Framework for False Data Injection Attack Detection in Smart Grids (IEEE CSDE 2026: 11th Asia-Pacific Conference on Computer Science and Data Engineering)

 

Short Bio: 

Montasir is a Computer Science and Engineering (CSE) graduate from Green University of Bangladesh, with research interests in machine learning, data mining, and explainable artificial intelligence (XAI). He has authored five papers published in international conferences and is currently pursuing further research for journal publication. Beyond research, he voluntarily serves as Treasurer of the Green University Alumni Association of CSE (GRACE) and previously served as an advisor to the Green University Research and Publication Community (GURPC). Montasir envisions a future where Artificial Intelligence is developed and applied responsibly to advance human well-being. He believes in the potential of human–AI collaboration to address real-world challenges and contribute to sustainable development.

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