Hello there,

I am Md. Abdur Rahman, a Kaggle Dataset Grandmaster and Research Assistant at the FinTech Research CI Lab, IUT. I am currently pursuing a B.Sc. in Computer Science and Engineering at Southeast University, Bangladesh, currently have 3.86 CGPA. I am also ranked 30th worldwide in the Kaggle Datasets category.

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
Agentic SLM

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

Oct 17, 2025 : Our paper “AlzFed-XAI: High-Fidelity Interpretable Alzheimer’s Diagnosis with Privacy-Preserving Federated Learning” 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

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

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

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

MangoLeafNet-XAI: An Attention-Enhanced Deep Learning Architecture for Accurate and Interpretable Mango Leaf Disease Classification
1st Author
Submitted to Future Generation Computer Systems — Journal

FedMal-XAI: An Explainable Federated Vision Transformer Leveraging Knowledge Distillation for Privacy-Preserving Malaria Detection
2nd Author
Submitted to Information Fusion — Journal

ChakmaBridge: A Five-Way Parallel Corpus for Navigating the Script Divide in an Endangered Language
1st Author
Submitted to Second Bangla Language Processing Workshop co-located with AACL-IJCNLP

BhasaBodh: Bridging Bangla Dialects and Romanized Forms through Machine Translation
2nd Author
Submitted to Second Bangla Language Processing Workshop co-located with AACL-IJCNLP

SmishGuard: An Interpretable Transformer Ensemble Framework for Bangla Smishing Detection
1st Author
Submitted to 6th IEEE International Conference on Telecommunications and Photonics (ICTP 2025)

X-ArsenicDistill: An Efficient and Interpretable Framework for Arsenicosis Classification via Knowledge Distillation
1st Author
Submitted to 28th International Conference on Computer and Information Technology (ICCIT 2025)

MalariaNet-XAI: An Explainable Deep Ensemble Framework for Accurate Malaria Detection
1st Author
Submitted to 28th International Conference on Computer and Information Technology (ICCIT 2025)

Advancing Military Cybersecurity: A Scalable Ensemble Framework with SHAP Analysis for Military Operations
2nd Author
Submitted to 6th IEEE International Conference on Telecommunications and Photonics (ICTP 2025)

SentimentFusion-Net: A Hybrid ML-DL Framework for Benchmarking ChatGPT User Opinions on Twitter
2nd Author
Submitted to 28th International Conference on Computer and Information Technology (ICCIT 2025)

FedNetXAI: Privacy-Preserving Federated EfficientNet B4 for Multi-Class Alzheimer’s Disease Classification with Explainable AI
2nd Author
Submitted to 12th International Conference on Next-generation Computing, Communication, Systems and Security (NSysS 2025)

FabXAI-Net: An Attention-Enhanced Custom CNN Framework with Explainable AI for Fabric Fault Detection
3rd Author
Submitted to 7th IEEE International Conference on Sustainable Technologies for Industry 5.0 (STI 2025)

DeepSea-Net: A YOLO Based Framework for Real-Time Detection and Classification of Underwater Plastic Pollution
4th Author
Submitted to 7th International Conference on Sustainable Technologies for Industry 5.0 (2025)