A. F. M. Minhazur Rahman

A. F. M. Minhazur Rahman

Assistant Professor of Computer Science & Engineering, RUET

About

A. F. M. Minhazur Rahman is an Assistant Professor in the Department of Computer Science & Engineering(CSE) at Rajshahi University of Engineering & Technology (RUET). A computer enthusiast from an early age, he earned his Bachelor of Science degree in CSE from RUET in 2021, graduating with first-class honors and ranking first in his batch of 120 students, with a CGPA of 3.89. He has recently completed his Master of Science degree in CSE from RUET with a CGPA of 4.00. His research focused on deep learning-based image segmentation for medical image analysis. His broader research interests include computer vision, deep learning, and medical image analysis. He is currently a PhD aspirant, seeking to further advance his work in these domains.

Research Interests

  • Computer Vision
  • Deep Learning
  • Artificial Intelligence
  • Medical Image Analysis

Education

  • M.Sc. in Computer Science & Engineering, RUET, Bangladesh (2025)
    • CGPA: 4.00/4.00
  • B.Sc. in Computer Science & Engineering, RUET, Bangladesh (2021)
    • Position: 1st
    • CGPA: 3.89/4.00
  • HSC in Science, Rajshahi College, Bangladesh (2015)
    • Science Group
    • GPA: 5.00/5.00
  • SSC in Science, Shiroil Govt. High School, Bangladesh (2013)
    • Science Group
    • GPA: 5.00/5.00

English Proficiency

  • IELTS: 8.0/9.0
    • Listening: 8.5
    • Reading: 7.5
    • Writing: 8.0
    • Speaking: 7.0

Work Experience

  • Assistant Professor, Department of Computer Science & Engineering, RUET, Bangladesh (September 2024-Present)
  • Lecturer, Department of Computer Science & Engineering, RUET, Bangladesh (December 2021- September 2024)
  • Lecturer, Department of Computer Science & Engineering, North Bengal International University, Bangladesh (March 2021- December 2021)

Selected Publications

Published Book Chapters

  1. A. F. M. Minhazur Rahman and Boshir Ahmed. “Hyperspectral Image Classification Using Factor Analysis and Convolutional Neural Networks.” In Mohammad Shamsul Arefin, M. Shamim Kaiser, Anirban Bandyopadhyay, Md. Atiqur Rahman Ahad, and Kanad Ray, editors, Proceedings of the International Conference on Big Data, IoT, and Machine Learning, pages 129–139, Singapore, 2022. Springer Singapore.

  2. Shakil Mahmud Shuvo, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Tahsen Islam Sajon, S. M. Mahedy Hasan, Anirban Barai, A. F. M. Minhazur Rahman, and Md. Al Mamun. “Multi-class Brain Tumor Classification with DenseNet-based Deep Learning Features and Ensemble of Machine Learning Approaches.” In Mohammad Shamsul Arefin, M. Shamim Kaiser, Touhid Bhuiyan, Nilanjan Dey, and Mufti Mahmud, editors, Proceedings of the 2nd International Conference on Big Data, IoT, and Machine Learning, pages 559–573, Singapore, 2024. Springer Nature Singapore.

Accepted Book Chapters

  1. A. F. M. Minhazur Rahman and Md. Ali Hossain. “Ensemble-Based Transfer Learning Approach for Brain Tumor Segmentation from MRI Images.” Accepted and presented at the International Conference on Big Data, IoT, and Machine Learning: BIM 2023. Currently under editing for publication in a Taylor & Francis book.

Published Conference Papers

  1. A. F. M. Minhazur Rahman and Md. Ali Hossain. “Attention-refined U-Net with Skip Connections for Effective Brain Tumor Segmentation from MRI images.” In 2023 26th International Conference on Computer and Information Technology (ICCIT), pages 1–6, 2023.

  2. Sunayana Ghosh, A. F. M. Minhazur Rahman, Plabon Talukder, Md. Ali Hossain and Azmain Yakin Srizon. “A Multimodal Approach to Bengali Music Genre Classification Using 1D CNN and ResNet-50.” In 2024 27th International Conference on Computer and Information Technology (ICCIT), pages 1–6, 2024.

  3. Noman Amin, Anwar Hossain Efat, A. F. M. Minhazur Rahman and S. M. Mahedy Hasan. “Enhanced Skin Lesion Detection Using Concatenated DenseNet and Multi-Attention Mechanisms.” In 2024 27th International Conference on Computer and Information Technology (ICCIT), pages 1–6, 2024. (Best Paper Award Winner)

  4. Kowshik Deb Nath, A. F. M. Minhazur Rahman, and Md. Ali Hossain. “An Attention-based Deep Learning Approach to Knee Injury Classification from MRI Images.” In 2023 26th International Conference on Computer and Information Technology (ICCIT), pages 1–6, 2023.

  5. Md Hasib Al Muzdadid Haque Himel, Pallab Chowdhury, and A. F. M. Minhazur Rahman. “A Lightweight Width Scaled Architecture Integrating Nested Feature Fusion for Bengali Sign Numerals Recognition.” In 2024 27th International Conference on Computer and Information Technology (ICCIT), pages 1–6, 2024.

  6. Md. Minhazul Islam, Md. Tanbeer Jubaer, Azmain Yakin Srizon, Md. Ali Hossain, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, A. F. M. Minhazur Rahman, and Nishat Tasnim Esha. “Explainable AI-Driven Improved Disease Prediction through Symptom Analysis with Custom BERT.” In Proceedings of the 2024 27th International Conference on Computer and Information Technology (ICCIT), pages 1–6, 2024.

  7. Md. Farhan Shakib, Md. Shahid Uz Zaman, Md. Al Mamun, Azmain Yakin Srizon, and A. F. M. Minhazur Rahman, “Enhancing Bushfire Classification in Satellite Imagery through Gradient Based Channel Selection”, In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2025, pages 1–6.

  8. Md Minhazul Islam, Tanbeer Jubaer, Azmain Yakin Srizon, Md. Rakib Hossain, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk, and A. F. M. Minhazur Rahman. “Navigating Bengali Linguistics: Insights from Machine and Deep Learning Perspectives for Categorization of Sentences”. In 2024 27th International Conference on Computer and Information Technology (ICCIT), pages 1–6, 2024.

Submitted Journal Papers

  1. Md. Farhan Shakib, Md. Shahid Uz Zaman, Md. Al Mamun, Md. Nahiduzzaman, Azmain Yakin Srizon, and A. F. M. Minhazur Rahman. “From Gradients to TF-IDF: A Dual-Stage Framework for Lightweight and Accurate Bushfire Detection.” Submitted to IEEE Access.
  2. Md. Farhan Shakib, Md. Shahid Uz Zaman, Md. Al Mamun, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Azmain Yakin Srizon, and A. F. M. Minhazur Rahman. “Cross-Sensor Bushfire Detection Using Domain Adaptation Between Landsat and Sentinel-2 Imagery.” Submitted to Neural Computing and Applications (NCAA), Springer.