Hello there,
I am Md. Abdur Rahman, a Kaggle Dataset Grandmaster and Research Assistant at the Islamic University of Technology (IUT), OIC. I recently completed my B.Sc. in Computer Science and Engineering at Southeast University, Bangladesh, graduating with a 3.87/4.00 CGPA (3.97 in the last 60 credits). I am currently pursuing an MS in CSE at the Military Institute of Science and Technology (MIST), Bangladesh.
My research interests broadly span Artificial Intelligence, Machine Learning, and Deep Learning, with a particular focus on:
- Computer Vision and Medical Image Analysis
- NLP for Low-Resource Languages
My current goal is to publish impactful research in top-tier CORE A*/A conferences and continue developing efficient and responsible AI models that address real-world challenges, particularly in healthcare and low-resource environments.
📰 News
Sep 11, 2026: Our team secured 2nd Runner-Up at the REACT 2026 Datathon, hosted by the IEEE Southeast University Student Branch.
Aug 3, 2026: Our 9th journal paper, “Integrating Domain-Specific Convolutional Features with Swin Transformers for Transparent Cervical Cancer Diagnostics,” has been accepted by Frontiers in Oncology (IF: 3.4, WoS: SCIE).
Jun 6, 2026: Three of our papers have been accepted by the 6th Muslims in Machine Learning (MuslimML) Workshop at ICML 2026.
Dec 28, 2025 : Achieved 3rd Position (Poster Presentation) at Student Research Day 2025, Southeast University.
Nov 6, 2025: Two of our papers have been accepted by the Second Bangla Language Processing Workshop (BLP 2025) at AACL-IJCNLP 2025
Oct 17, 2025 : Our paper “AlzFed-XAI: High-Fidelity Interpretable Alzheimer’s Diagnosis with Privacy-Preserving Federated Learning” (1st Author) has been accepted by Muslim in ML Workshop, NeurIPS.
📓 Selected Publications
MangoLeafNet-XAI: An Attention-Enhanced Deep Learning Architecture for Accurate and Interpretable Mango Leaf Disease Classification
Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Farzan Majeed Noori, Md Zia Uddin, Abdul Kadar Muhammad Masum
Frontiers in Plant Science
[PDF]
Integrating Domain-Specific Convolutional Features with Swin Transformers for Transparent Cervical Cancer Diagnostics
Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Md Fokrul Islam KHAN, Md Zia Uddin, Ulysse Teller Masao Côté-Allard, Abdul Kadar Muhammad Masum
Frontiers in Oncology
[PDF]
FedMal-XAI: An Explainable Federated Vision Transformer Leveraging Knowledge Distillation for Privacy-Preserving Malaria Detection
Md. Tofael Ahmed Bhuiyan, Md. Abdur Rahman, Md Fokrul Islam Khan, Farzan M. Noori, Abdul Kadar Muhammad Masum
Frontiers in Public Health
[PDF]
DFU-GCNet: A Global Context-Enhanced Inception Network for Robust and Interpretable Diabetic Foot Ulcer Classification
Md. Tofael Ahmed Bhuiyan, Md. Abdur Rahman, Farzan M. Noori, Abdul Kadar Muhammad Masum
Frontiers in Digital Health
[PDF]
Privacy-Preserving ESG Risk Prediction via Federated Hybrid Neural-Boosting Ensembles
Abdul Kadar Muhammad Masum, Md. Abul Kalam Azad, Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Ramona Birău, Virgil Popescu
IEEE Access
[PDF]
EcoStack-Pro: An Adaptive Federated Learning Framework for Interpretable ESG Auditing Across Heterogeneous Industrial Sectors
Md. Abul Kalam Azad, Abdul Kadar Muhammad Masum, Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Farzan M. Noori, Md Zia Uddin
Frontiers in Artificial Intelligence
[PDF]
Bridging Data Silos in Corporate Governance: A Hierarchical Stacking Ensemble with Federated Dynamic Aggregation
Abdul Kadar Muhammad Masum, Md. Abul Kalam Azad, Md. Tofael Ahmed Bhuiyan, Md. Abdur Rahman
Applied Computational Intelligence and Soft Computing
[PDF]
Predicting Corporate Bankruptcy Through a Scalable and Interpretable Knowledge Distillation Framework
Md. Abul Kalam Azad, Abdul Kadar Muhammad Masum, Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Thanh Lam Nguyen, Hasan Dinçer, Serhat Yuksel
Discover Artificial Intelligence
[PDF]
Beyond Short-Term Noise: Robust Long-Horizon Bankruptcy Prediction Using Gated Dual-Branch Transformers
Rezwanul Huque Khan, Md. Abul Kalam Azad, Md. Tofael Ahmed Bhuiyan, Md. Abdur Rahman, Faisal Md. Abdur Rahman, Abdul Kadar Muhammad Masum
Applied Computational Intelligence and Soft Computing
[PDF]
Do LLMs Distinguish Between Halal and Haram? Benchmarking Islamic Cultural Alignment in General vs. Arabic-Centric SLMs
Md. Abdur Rahman, Md Tofael Ahmed Bhuiyan, Abdul Kadar Muhammad Masum
6th Muslims in ML Workshop, ICML 2026
[PDF]
Tokenizer Transplantation: Mitigating Autoregressive Collapse in Edge-Efficient Bengali ASR
Sanjid Hasan, Md. Abdur Rahman
6th Muslims in ML Workshop, ICML 2026
[PDF]
SFL-MTKD++: Split ViT Federated Learning with Adaptive Multi-Teacher Distillation for Interpretable Malaria Diagnosis
Md Tofael Ahmed Bhuiyan, Md. Abdur Rahman, Abdul Kadar Muhammad Masum
6th Muslims in ML Workshop, ICML 2026
[PDF]
AlzFed-XAI: High-Fidelity Interpretable Alzheimer’s Diagnosis with Privacy-Preserving Federated Learning
Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Abdul Kadar Muhammad Masum
5th Muslims in ML Workshop, NeurIPS 2025
[PDF]
ChakmaBridge: A Five-Way Parallel Corpus for Navigating the Script Divide in an Endangered Language
Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Abdul Kadar Muhammad Masum
2nd Bangla LP Workshop, AACL-IJCNLP 2025
[PDF]
BhasaBodh: Bridging Bangla Dialects and Romanized Forms through Machine Translation
Md. Tofael Ahmed Bhuiyan, Md. Abdur Rahman, Abdul Kadar Muhammad Masum
2nd Bangla LP Workshop, AACL-IJCNLP 2025
[PDF]
Detecting Manipulation in Ukrainian Telegram: A Transformer-Based Approach to Technique Classification and Span Identification
Md. Abdur Rahman, Md Ashiqur Rahman
4th Ukrainian NLP Workshop (UNLP), ACL 2025
[PDF]
FAKD-XAI: Feature-Aligned Knowledge Distillation with Explainable AI for Efficient Brain Tumor Classification
Md. Abdur Rahman, Sabik Aftahee, Md Ashiqur Rahman, Lamim Zakir Pronay
International Conference on Data Science, AI and Applications (ICDSAIA 2025)
[PDF]
X-ArsenicDistill: An Efficient and Interpretable Framework for Arsenicosis Classification via Knowledge Distillation
Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Mohammad Mahmudur Rahman, Iffat Sania Hossain, Abu Kowshir Bitto, Abdul Kadar Muhammad Masum
28th International Conference on Computer and Information Technology 2025
[PDF]
DeepSea-Net: A YOLO Based Framework for Real-Time Detection and Classification of Underwater Plastic Pollution
Progga Parmita Roy, Sabbir Sarder Munna, Md. Sazed Ul Karim, Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Md. Joseb Siddique Siam
7th IEEE International Conference on Sustainable Technologies for Industry 5.0 (STI 2025)
[PDF]
📘 Manuscripts Under Review
HA-DynAU-Net: A Hybrid Attention Dynamic Aware U-Net for Precise Skin Lesion Segmentation
1st Author
Submitted to IEEE Open Journal of the Computer Society