DIT4BEARs Smart Roads Internship. - Md Abrar Jahin; Andrii Krutsylo (CoRR, 2021)

QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum - Classical Neural Network. - Md Abrar Jahin; Md Sakib Hossain Shovon; Md. Saiful Islam 010; Jungpil Shin 001; Muhammad Firoz Mridha; Yuichi Okuyama 001 (CoRR, 2023)

Big Data - Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques. - Md Abrar Jahin; Md Sakib Hossain Shovon; Jungpil Shin 001; Istiyaque Ahmed Ridoy; Yoichi Tomioka; Muhammad Firoz Mridha (CoRR, 2023)

Exploring Internet of Things Adoption Challenges in Manufacturing Firms: A Fuzzy Analytical Hierarchy Process Approach. - Hasan Shahriar; Md. Saiful Islam 010; Md Abrar Jahin; Istiyaque Ahmed Ridoy; Taro Suzuki; Jungpil Shin 001 (CoRR, 2023)

Unlocking Musculoskeletal Disorder Risk Factors: NLP-Based Classification and Mode-Based Ranking. - Md Abrar Jahin; Subrata Talapatra (CoRR, 2023)

AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis. - Md Abrar Jahin; Saleh Akram Naife; Anik Kumar Saha; Muhammad Firoz Mridha (CoRR, 2024)

Analysis of Internet of Things implementation barriers in the cold supply chain: an integrated ISM-MICMAC and DEMATEL approach. - Kazrin Ahmad; Md. Saiful Islam 010; Md Abrar Jahin; Muhammad Firoz Mridha (CoRR, 2024)

Ergonomic Design of Computer Laboratory Furniture: Mismatch Analysis Utilizing Anthropometric Data of University Students. - Anik Kumar Saha; Md Abrar Jahin; Md. Rafiquzzaman; Muhammad Firoz Mridha (CoRR, 2024)

Analyzing Male Domestic Violence through Exploratory Data Analysis and Explainable Machine Learning Insights. - Md Abrar Jahin; Saleh Akram Naife; Fatema Tuj Johora Lima; Muhammad Firoz Mridha; Jungpil Shin 001 (CoRR, 2024)

TRABSA: Interpretable Sentiment Analysis of Tweets using Attention-based BiLSTM and Twitter-RoBERTa. - Md Abrar Jahin; Md Sakib Hossain Shovon; Muhammad Firoz Mridha (CoRR, 2024)

MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model Integrating CNN, LSTM, and GRU. - Md Abrar Jahin; Asef Shahriar; Md. Al Amin (CoRR, 2024)

Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm. - Md. Mahfuzur Rahman; Md Abrar Jahin; Md. Saiful Islam 010; Muhammad Firoz Mridha (CoRR, 2024)

TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification. - Md Abrar Jahin; Muhammad Firoz Mridha; Zeyar Aung; Nilanjan Dey; R. Simon Sherratt (CoRR, 2024)

KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection. - Md Abrar Jahin; Md. Akmol Masud; Muhammad Firoz Mridha; Zeyar Aung; Nilanjan Dey (CoRR, 2024)

Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics. - Md Abrar Jahin; Md. Akmol Masud; Md Wahiduzzaman Suva; Muhammad Firoz Mridha; Nilanjan Dey (CoRR, 2024)

Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination. - Md Abrar Jahin; Md. Akmol Masud; Muhammad Firoz Mridha; Nilanjan Dey (CoRR, 2024)

Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network. - Md Abrar Jahin; Muhammad Firoz Mridha; Nilanjan Dey (CoRR, 2024)

Solving Generalized Grouping Problems in Cellular Manufacturing Systems Using a Network Flow Model. - Md. Kutub Uddin; Md. Saiful Islam 010; Md Abrar Jahin; Md. Saiful Islam Seam; Muhammad Firoz Mridha (CoRR, 2024)

Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies. - Abrar Morshed; Abdulla Al Shihab; Md Abrar Jahin; Md Jaber Al Nahian; Md Murad Hossain Sarker; Md Sharjis Ibne Wadud; Mohammad Istiaq Uddin; Muntequa Imtiaz Siraji; Nafisa Anjum; Sumiya Rajjab Shristy; Tanvin Rahman; Mahmuda Khatun; et al. (CoRR, 2024)

Designing Cellular Manufacturing System in Presence of Alternative Process Plans. - Md. Kutub Uddin; Md. Saiful Islam 010; Md Abrar Jahin; Md. Tanjid Hossen Irfan; Md. Saiful Islam Seam; Muhammad Firoz Mridha (CoRR, 2024)

DGNN-YOLO: Dynamic Graph Neural Networks with YOLO11 for Small Object Detection and Tracking in Traffic Surveillance. - Shahriar Soudeep; Muhammad Firoz Mridha; Md Abrar Jahin; Nilanjan Dey (CoRR, 2024)

A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications. - Md. Ariful Islam; Muhammad Firoz Mridha; Md Abrar Jahin; Nilanjan Dey (CoRR, 2024)

Container Handling Strategy Dataset: Efficiency Analysis in Dockyard Operations. - Md Abrar Jahin; Md. Mahfuzur Rahman (IEEE DataPort, 2024)

CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection. - Md Abrar Jahin; Shahriar Soudeep; Fahmid Al Farid; Muhammad Firoz Mridha; Raihan Kabir; Md. Rashedul Islam; Hezerul Abdul Karim (IEA/AIE (2), 2025)

CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection. - Md Abrar Jahin; Shahriar Soudeep; Muhammad Firoz Mridha; Raihan Kabir; Md. Rashedul Islam; Yutaka Watanobe (CoRR, 2025)

Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention. - Md Abrar Jahin; Shahriar Soudeep; Muhammad Firoz Mridha; Nilanjan Dey (CoRR, 2025)

Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems. - Md Abrar Jahin; Adiba Abid; M. F. Mridha 001 (CoRR, 2025)

Vision Transformers for End-to-End Quark-Gluon Jet Classification from Calorimeter Images. - Md Abrar Jahin; Shahriar Soudeep; Arian Rahman Aditta; Muhammad Firoz Mridha; Nafiz Fahad; Md. Jakir Hossen (CoRR, 2025)

MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model. - Md Abrar Jahin; Asef Shahriar; Md. Al Amin (Evol. Intell., 2025)

AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing. - Md Abrar Jahin; Taufikur Rahman Fuad; Muhammad Firoz Mridha; Nafiz Fahad; Md. Jakir Hossen (CoRR, 2025)

Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systems. - Md Abrar Jahin; Shahriar Soudeep; Muhammad Firoz Mridha; Muhammad Mostafa Monowar; Md. Abdul Hamid (CoRR, 2025)

DyCAF-Net: Dynamic Class-Aware Fusion Network. - Md Abrar Jahin; Shahriar Soudeep; Muhammad Firoz Mridha; Nafiz Fahad; Md. Jakir Hossen (CoRR, 2025)

Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select. - Md. Akmol Masud; Md Abrar Jahin; Mahmud Hasan (CoRR, 2025)