Hello there,
I am Md. Abdur Rahman, a Kaggle Dataset Grandmaster and Research Assistant at Islamic University of Technology-IUT, OIC. I have recently completed my B.Sc. in Computer Science and Engineering at Southeast University, Bangladesh, graduating with a CGPA of 3.87. I am currently pursuing M.Sc. Engg in CSE at Military Institute of Science and Technology (MIST), Bangladesh.
My research interests lie broadly in Artificial Intelligence, Machine Learning, and Deep Learning, with a particular focus on:
- Computer Vision and Medical Image Analysis
- NLP for Low Resourced Language
- AI for Fintech
My current goal is to publish impactful research papers in top-tier CORE A*/A conferences and continue developing efficient, high-accuracy AI models that address real-world challenges, particularly in healthcare and low-resource environments.
📰 News
Apr 01, 2026 : Paper “Bridging Data Silos in Corporate Governance: A Hierarchical Stacking Ensemble with Federated Dynamic Aggregation” accepted at Applied Computational Intelligence and Soft Computing (IF: 2.9, Q1, WoS: ESCI).
Dec 28, 2025 : Achieved 3rd Position (Poster Presentation) at Student Research Day 2025, Southeast University.
Nov 6, 2025 : Our paper “ChakmaBridge: A Five-Way Parallel Corpus for Navigating the Script Divide in an Endangered Language” (1st Author) has been accepted by Second Bangla Language Processing Workshop (BLP 2025) at AACL-IJCNLP 2025.
Nov 6, 2025 : Our paper “BhasaBodh: Bridging Bangla Dialects and Romanized Forms through Machine Translation” (1st Co-Author) has been accepted by 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.
Oct 7, 2025 : Reviewed two papers for Muslim in ML Workshop, NeurIPS.
Oct 1, 2025 : I started working as Research Assistant at FinTech Research CI Lab, IUT.
📓 Published / Accepted 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
FedMal-XAI: An Explainable Federated Vision Transformer Leveraging Knowledge Distillation for Privacy-Preserving Malaria Detection
Md. Abdur Rahman, Md. Tofael Ahmed Bhuiyan, Md Fokrul Islam Khan, Farzan M. Noori, Abdul Kadar Muhammad Masum
Frontiers in Public Health
PDF
Bridging Data Silos in Corporate Governance: A Hierarchical Stacking Ensemble with Federated Dynamic Aggregation
Md. Abdur Rahman, Abdul Kadar Muhammad Masum, Md. Abul Kalam Azad, Md. Tofael Ahmed Bhuiyan
Applied Computational Intelligence and Soft Computing
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 co-located with 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
Second Bangla Language Processing Workshop co-located with AACL-IJCNLP
PDF
BhasaBodh: Bridging Bangla Dialects and Romanized Forms through Machine Translation
Md. Tofael Ahmed Bhuiyan, Md. Abdur Rahman, Abdul Kadar Muhammad Masum
Second Bangla Language Processing Workshop co-located with AACL-IJCNLP
PDF
Detecting Manipulation in Ukrainian Telegram: A Transformer-Based Approach to Technique Classification and Span Identification
Md. Abdur Rahman, Md. Ashiqur Rahman
Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025), Association for Computational Linguistics
PDF
MRAViT-XAI: A Novel Multi-Resolution Attention Vision Transformer Framework with Explainable AI for Enhanced Lung and Colon Cancer Classification
Md. Abdur Rahman, Sabik Aftahee, Lamim Zakir Pronay, Md. Ashiqur Rahman
IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)
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)
PDF
SmolLab SEU at BEA 2025 Shared Task: A Transformer-Based Framework for Multi-Track Pedagogical Evaluation of AI-Powered Tutors
Md. Abdur Rahman, Md. Al Amin, Sabik Aftahee, Muhammad Junayed, Md. Ashiqur Rahman
Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025), Association for Computational Linguistics
PDF
SmolLab SEU at MAHED 2025: Do Arabic-Native Encoders Surpass Multilingual Models in Detecting the Nuances of Hope, Hate, and Emotion?
Md. Abdur Rahman, Md. Sabbir Dewan, Md. Tofael Ahmed Bhuiyan, Md. Ashiqur Rahman
Proceedings of the Third Arabic Natural Language Processing Conference (ArabicNLP 2025), Empirical Methods in Natural Language Processing (EMNLP 2025)
PDF
FedAvg-ResNet50: Privacy-Preserving Explainable Acute Leukemia Classification
Md. Tofael Ahmed Bhuiyan, Md. Abdur Rahman, Zakir Hossain, Md. Fokrul Islam Khan, Abdul Kadar Muhammad Masum
5th International Conference on Applied Intelligence and Informatics (AII 2025, USA)
PDF
PneumoniaXAttnNet: An Attention-Driven Xception Framework for Accurate Pneumonia Classification with XAI
Tanvir Ahmed, Md. Abdur Rahman, Md. Delower Hossain, Yousuf Howlader, Md. Mahi Uddin, Md. Tajuddin, Md. Illeas Hossain, Md. Mijanur Rahman
2nd IEEE Conference on Computing Applications and Systems (COMPAS 2025)
PDF
CerviTrans-XAI: An Explainable Vision Transformer Ensemble for Accurate Cervical Cancer Classification
Md. Delower Hossain, Md. Mijanur Rahman, Md. Abdur Rahman, Tanvir Ahmed, Sujay Dhar, Ornab Biswass
2nd IEEE Conference on Computing Applications and Systems (COMPAS 2025)
PDF
Advancing Military Cybersecurity: A Scalable Ensemble Network Intrusion Detection System Framework with SHAP Analysis for Military Operations
Md. Tofael Ahmed Bhuiyan, Md. Abdur Rahman, Prof. Dr. Abdul Kadar Muhammad Masum, Arif Hossen, Md Ruhul Rabbi
6th IEEE International Conference on Telecommunications and Photonics (ICTP 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
2025 IEEE 7th International Conference on Sustainable Technologies for Industry 5.0 (STI 2025)
PDF
SmolLab SEU at CheckThat! 2025: How Well Do Multilingual Transformers Transfer Across News Domains for Cross-lingual Subjectivity Detection?
Md. Abdur Rahman, Md. Al Amin, Md. Sabbir Dewan, Md. Jahid Hasan, Md. Ashiqur Rahman
CheckThat! Lab Workshop, 16th Conference and Labs of the Evaluation Forum
PDF
Hinterwelt@LT-EDI 2025: A Transformer-Based Approach for Identifying Racial Hoaxes in Code-Mixed Hindi-English Social Media Narratives
Md. Abdur Rahman, Md. Al Amin, Sabik Aftahee, Md. Ashiqur Rahman
LT-EDI Workshop, 5th Conference on Language, Data and Knowledge
PDF
Hinterwelt@LT-EDI 2025: A Transformer-Based Detection of Caste and Migration Hate Speech in Tamil Social Media
Md. Al Amin∗, Sabik Aftahee∗, Md. Abdur Rahman∗, Md. Sajid Hossain Khan, Md. Ashiqur Rahman
LT-EDI Workshop, 5th Conference on Language, Data and Knowledge
∗Authors contributed equally to this work.
PDF
📘 Under Review Publications
BEACON: A Novel Cross-Modal Architecture for High-Precision and Explainable Brain Tumor Classification Using Medical-Specific Attention
1st Author
Submitted to International Journal of Intelligent Systems (Q1 Journal)
HybridTransUNet: Fusing Vision Transformers with Attentive U-Net for Accurate and Interpretable Brain Tumor Segmentation
1st Author
Submitted to International Journal of Intelligent Systems (Q1 Journal)