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Journal Publications

• Mahin Montasir Afif, K. M. Tahsin Kabir, Mahfujur Rahman, Dipta Justin Gomes, Kazi Tanvir, Md. Mortuza Ahmmed, Md. Obaidur Rahaman, and Jasim Uddin (2026). Advancing Immunogenic Peptide Identification Using Explainable Machine Learning Framework for Rational Vaccine Design. Network Modeling Analysis in Health Informatics and Bioinformatics, 15(1), Article 181. https://doi.org/10.1007/s13721-026-00839-8

• Kazi Tanvir, Mahfujur Rahman, and Dipta Gomes (2026). A Hybrid Optimization and Tree-Based Learning Framework for Dengue Diagnosis Using Hematological Data. Healthcare Analytics, 10, Article 100475. https://doi.org/10.1016/j.health.2026.100475

• Touhid Alam, Md Mahmudur Rahman, Sumaiya Sarkar Shimla, Jalal Uddin, Mahfujur Rahman, and M. F. Mridha (2026). A Precise Ensemble Machine Learning Framework for Improved Glioma Grading and Classification with Explainable AI. Computer Methods and Programs in Biomedicine Update, 10, Article 100265. https://doi.org/10.1016/j.cmpbup.2026.100265

• Kazi Tanvir, Md. Sayem Kabir, Tasnim Sultana Sintheia, Kazi Tasnim Hena, Mahfujur Rahman, and Dipta Gomes (2026). An Explainable Machine Learning Framework for Obesity Classification with Optimized Support Vector Machines. Clinical eHealth, 9, 105–121. https://doi.org/10.1016/j.ceh.2026.07.003

• Mahin Montasir Afif, Abdullah Al Noman, Kazi Abdullah Jarif, Md. Emamul Arefin Islam, Sathya Narayana Sharma K, Mahfujur Rahman, Dipta Gomes, Kazi Tanvir, Md. Obaidur Rahaman, and Syed Mohammed Shamsul Islam (2026). A Deep Learning Based Three-Stage Fusion Neural Network with Composite Adaptive Momentum Optimizer for Bangla Cyberbully Identification. International Journal of Computational Intelligence Systems, 19, Article 161. https://doi.org/10.1007/s44196-026-01441-6

• Mahfujur Rahman, Noboranjan Dey, Nazmus Sakib, Rukaiya Jahan Sajuti, Mehedi Hasan, Abdullah Hel Azmain, Rahul Biswas, Dipta Justin Gomes, Kazi Tanvir, and Mirza Asif Mahmud (2026). Enhancing Dengue Outbreak Prediction in Bangladesh: A Weighted Average Ensemble Machine Learning Approach. Malaysian Journal of Science and Advanced Technology, 6(2), 97–105. https://doi.org/10.56532/mjsat.v6i2.601

• Kazi Tanvir, Md. Sayem Kabir, Kazi Tasnim Hena, Tasnim Sultana Sintheia, Shanzida Zaman Shimu, Dipta Gomes, Mahfujur Rahman, and Mirza Asif Mahmud (2026). An Explainable Ensemble Learning Framework for Ovarian Cancer Classification Using Blood Biomarkers. Informatics and Health, 2, 210–228. https://doi.org/10.1016/j.infoh.2026.04.002

• Eshraque Jabid Ifti, Fihab Ifty, Mehadi Hasan, Rahul Chandra Shil, Utshab Kumar Saha, Kazi Tanvir, Mahfujur Rahman, and Dipta Gomes (2026). SSC-BanglaTutor: A Curriculum-Aligned Bengali Dataset for Intelligent Tutoring Systems. Data in Brief, 65, Article 112597. https://doi.org/10.1016/j.dib.2026.112597

• KM Yeaser Arafat, Ahmed Hossain, Mushfika Ikfat, Md Areful Amin, Kazi Tanvir, Dipta Gomes, and Mahfujur Rahman (2026). FRF-HHO: Early Ovarian Cancer Prediction Using Explainable Fuzzy Random Forest Optimized by Harris Hawks Algorithm. Advances in Biomarker Sciences and Technology, 8, 219–235. https://doi.org/10.1016/j.abst.2026.01.003

• Mahfujur Rahman, Noboranjan Dey, Mehedi Hasan, Rahul Biswas, Rukaiya Jahan Sajuti, Tanvir Kazi, Dipta Gomes, and Rajarshi Roy Chowdhury (2025). Hem-CNN: An Efficient Intracranial Hemorrhage Detection Model Using Explainable Deep Learning in Head CT Scan Images. Journal of Computer and Communications, 13(10), 128–146. https://doi.org/10.4236/jcc.2025.1310008

• Mahfujur Rahman, Mehedi Hasan, Md Masum Billah, and Rukaiya Jahan Sajuti (2022). Political Fake News Detection from Different News Source on Social Media Using Machine Learning Techniques. AIUB Journal of Science and Engineering (AJSE), 21(2), 110–117. https://doi.org/10.53799/ajse.v21i1.383

• Mahfujur Rahman, Mehedi Hasan, Md Masum Billah, Rukaiya Jahan Sajuti (2022). Grading System Prediction of Educational Performance Analysis Using Data Mining Approach. Malaysian Journal of Science and Advanced Technology, 2(4), 204–211. https://doi.org/10.56532/mjsat.v2i4.96

• Tahseen Asma Meem, Shaira Tashnub Torsa, Mehedi Hasan, and Mahfujur Rahman (2023). A Comparative Study of Fixing One Barrier Varying Another Barrier for a Resonant Tunneling Diode. AIUB Journal of Science and Engineering (AJSE), 22(1), 105–110. https://doi.org/10.53799/ajse.v22i1.567

• Mehedi Hasan, M Tanseer Ali, Md Kamrul Hassan, Shaira Tashnub Torsa, and Mahfujur Rahman (2022). Comparative Study of Single and Double Barrier GaAs/Al0.3Ga0.7As Based Resonant Tunneling Diodes Considering NEGF. AIUB Journal of Science and Engineering (AJSE), 21(3), 176–184. https://doi.org/10.53799/ajse.v21i3.507

Conference Publications

• Md Mahfuzur Rahman, Nowshin Fariha, Rukaiya Jahan Sajuti, Mirza Asif Mahmud, Kazi Tanvir, Dipta Gomes, and Mahfujur Rahman (2026). Deep Learning Framework for Brain Tumor Analysis: EfficientNet-B4 Enhanced UNet++ for Tumor Region Segmentation. 2026 International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII), 1–6. https://doi.org/10.1109/PECCII70991.2026.11661809

• MD. Mostofa Hasib, Ahmed Farhan Amin, Nokibul Arfin Siam, Alif Hossain Talha, Noboranjan Dey, and Mahfujur Rahman (2026). WristNet: A Novel Deep Learning Approach for Detecting Fractures in Wrist X-Ray Images. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 1–6. https://doi.org/10.1109/QPAIN69676.2026.11545715

• Arpon Paul Amit, Saiful Islam Oni, Kazi Tanvir, Dipta Justin Gomes, Mahfujur Rahman, and Muhibul Haque Bhuyan (2026). GDR-GNN: A Graph Neural Network Framework for Explainable Hereditary Genetic Disorder Risk Prediction. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 1–6. https://doi.org/10.1109/QPAIN69676.2026.11546270

• Abdullah Khondoker, Faria Ahmed Richi, Sarah Binte Islam, Kazi Tanvir, Dipta Justin Gomes, and Mahfujur Rahman (2026). Uncertainty-Aware and Explainable Feature-Level Ensembles for CT-Based Kidney Stone Detection. 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 1–6. https://doi.org/10.1109/QPAIN69676.2026.11546296

• Sadman Samir Rafith, Saif Mostasir Rohan, Md. Sayem Kabir, Kazi Tanvir, Dipta Gomes, and Mahfujur Rahman (2025). Explainable Breast Cancer Diagnosis with Vision Transformers and ACOR-Optimized Decision Trees. 2025 28th International Conference on Computer and Information Technology (ICCIT), 2098–2103. https://doi.org/10.1109/ICCIT68739.2025.11491775

• Mian Mohammad Rassel, Laboni Somoddar, Md. Sayem Kabir, Md. Sadi Al Huda, Mahfujur Rahman, and Kazi Tanvir (2025). AI-Enhanced Leishmaniasis Classification with RegNetX with Wolf Search Algorithm. 2025 28th International Conference on Computer and Information Technology (ICCIT), 1451–1456. https://doi.org/10.1109/ICCIT68739.2025.11491633

• Kazi Tanvir, Dipta Gomes, Mahfujur Rahman, Mirza Asif Mahmud, Mohammad Ashiqur Noor, and Muhibul Haque Bhuyan (2025). BitterGNN: An Explainable Graph-Based Framework for Bitter Peptide Classification. 2025 28th International Conference on Computer and Information Technology (ICCIT), 1070–1075. https://doi.org/10.1109/ICCIT68739.2025.11491441

Book Chapters

• Mahfjur Rahman, Mirza Asif Mahmud, Noboranjan Dey, Kazi Tanvir, Zishan Ahmed Onik, & Dipta Gomes (2027). Digital Twin-Driven Innovation in Autonomous Vehicle Systems Through Modelling, Prototyping, and Lifecycle Optimization. In M. Hussain Shaik, I. Mohd Ibrahim, M. Mahammad, & K. Abdullah (Eds.), Digital Twin Approaches in Autonomous Vehicles (pp. 99–124). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-7785-8.ch005

• Md. Sayem Kabir, Kazi Tanvir, Tasnim Sultana Sintheia, Shanzida Zaman Shimu, Dipta Gomes, & Mahfujur Rahman (2026). Hybrid DL & XAI for Histopathology & Cancer Biomarkers Analysis. In Artificial Intelligence for Medical Data Processing (1st ed.). CRC Press. https://doi.org/10.1201/9781003679189-6

• Kazi Tanvir, Rahul Biswas, Dipta Gomes, Mahfujur Rahman, Noboranjan Dey, & Md. Reazul Islam (2026). Vision Language Models in Healthcare Through a Multimodal Approach to Medical Imaging and Clinical Applications. In P. Raj et al. (Eds.), Vision Language Models for Next-Generation Healthcare (pp. 259–292). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-7315-7.ch009

• Mirza Asif Mahmud, Mahfujur Rahman, Dipta Gomes, Kazi Tanvir, & Md. Reazul Islam (2026). A Comprehensive Study on the Ethical Perspective of Integration of Agentic AI for Autonomous Vehicles. In Agentic AI for Autonomous Vehicles: Safety, Reliability, Law, and Ethics (pp. 287–320). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-7355-3.ch010

• Sk Muktadir Hossain, Sharif Eime Akhter, Ayswarjo Sarkar, Kazi Samia Mostofa, Md Sadiqur Rahman, Dipta Gomes, Mahfujur Rahman, & Kazi Tanvir (2026). A Framework for Robust and Interpretable Yield-Risk Classification Using Country–Year–Crop Data (X-AMLF). In AI for Climate Governance, Agriculture, and Earth Systems (pp. 237–292). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-2600-0778-5.ch008

• Noboranjan Dey, Mahfujur Rahman, Shaikat Das Joy, Kazi Tanvir, Rahul Biswas, & Dipta Gomes (2026). Harnessing AI for Seamless E-Collaboration in Healthcare Through Building Smarter, Connected, and Patient-Centric Systems. In J. Zhao (Ed.), Strengthening E-Collaboration in Healthcare Through AI (pp. 1–48). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-5906-9.ch001

• Md. Reazul Islam, Mirza Asif Asif Mahmud, Kazi Tanvir, Shaikat Das Joy, Mahfujur Rahman, Noboranjan Dey, & Dipta Gomes (2026). IoMT Architecture for Healthcare: Integration, Security, and Real-Time Decision Support. In S. Al-Humairi, P. Naronglerdrit, N. Chantarapanich, & S. Wanchat (Eds.), Robotics and IoT Synergy in Next-Generation Healthcare (pp. 305-340). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-5447-7.ch010

• Shaikat Das Joy, Noboranjan Dey, Md. Reazul Islam, Mirza Asif Mahmud, Mahfujur Rahman, Kazi Tanvir, & Dipta Gomes (2026). Synthetic Healthcare Data in Generation, Validation, and Integration for Ethical and Scalable Health Innovation. In M. Ahmad (Ed.), Advances in Synthetic Healthcare Data: Opportunities, Challenges, and Emerging Trends (pp. 65-108). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-5641-9.ch003

Datasets

• Md Shafin, Mahbubur Rahman, S.M. Rezwanul Bin Hafiz, Rukaiya Jahan Sajuti, Bhuiyan Mohammad Omar Abdullah, & Mahfujur Rahman (2026), “Luxury Residential House Rent Dataset from Gulshan, Banani, Baridhara DOHS & Tejgaon Dhaka, Bangladesh”, Mendeley Data, V1, https://doi.org/10.17632/462xvmnd2n.1 

• Eshraque Jabid Ifti, Fihab Ifty, Mehadi Hasan, Rahul Chandra Shil, Utshab Kumar Saha, Kazi Tanvir, Mahfujur Rahman, & Dipta Gomes (2025), “SSC-BanglaTutor: A Curriculum-Aligned Bengali Dataset for Intelligent Tutoring Systems”, Mendeley Data, V2, https://doi.org/10.17632/KRN9BZYPSN.2

• Aonyendo Paul Neteish, Md Ehsanul Haque, Shaikat Das Joy, & Mahfujur Rahman (2026), “Bangladesh in Transition: A Large-Scale Dataset of 55,000+ English News Articles from Five Major National Newspapers (2024–2025)”, Mendeley Data, V1, https://doi.org/10.17632/RRKRTVXMVX.1

• Al Fesani, Shorbani Chowdhury, Jamil Haidar, Ridoy Kumar Das, Rahul Biswas, Mahfujur Rahman, & Noboranjan Dey (2025), “A Deep Learning Framework for Automated Detection and Classification of Four Common Dental Diseases Using Dental Radiographs”, Mendeley Data, V1, https://doi.org/10.17632/WXV6H9P39G.1

Journal Publications

• Financial Sentiment Analysis: Leveraging BERT and Machine Learning Techniques [Journal of Computational and Cognitive Engineering (JCCE)]

Conference Publications

• An Edge-Oriented Safety Gateway for Large Language Model Prompt Risk Classification and Low-Latency Inference [EDGEI-2026]

• LGCN: A Micro Motion Lightweight Graph Convolution Network for Facial Micro-Expression Recognition [ICDMIS 2026] 

• TrustworthyDR-Net: A Leakage-Aware and Explainable Deep Learning Framework for Reliable Diabetic Retinopathy Severity Grading [ICDMIS 2026] 

• Enhancing liver HCC tumor segmentation using explainable deep learning approach [ICEFronT 2026]

• EHML: An Explainable Machine Learning Framework for Paddy Yield Prediction [ICSASD 2026]

• Hybrid TF–IDF and Explainable Supervised Learning Approach for Detecting Fake Reviews [SPICSCON 2026] 

• Explainable YOLO-based Framework for Multi-Class Dental Pathology Detection in OPG X-RAY Images [SPICSCON 2026] 

• MS-CADRNet: A Middle Sampling-Based Class-Aware Dual-Region CNN for Robust Facial Emotion Recognition [SPICSCON 2026] 

• An Explainable Bayesian-Optimized Ensemble Learning Approach for Reliable Luxury House Rent Forecasting in Bangladesh [COMPAS 2026] 

• Transformer-Based Sentence-Level Extraction of Software Requirements Using DeBERTa on the PURE Dataset [COMPAS 2026] 

• LLMSafeMap: A Domain-Aware Framework for Mapping LLM Safety Research [ICCA 2026]

• Predicting Alzheimer’s Disease Using Heterogeneous Stacking Ensemble Learning and Explainable AI [ICCA 2026]

• Automated Detection of Autoimmune Skin Diseases via Explainable Vision Transformers: Multiclass Performance on Balanced Clinical Image Cohorts [ICCA 2026]

• Biology with Hints: A Comparative Study of Bangla Large Language Models for Hint-Based Learning [ICCA 2026]

• ResGATGCN: An Explainable Residual Gated Dual-Branch Graph Attention-Convolutional Network for Diabetes Risk Classification [ICCA 2026]

Book Chapters

Datasets

Journal Publications

• EEG Signal Decoding for Cognitive and Motor Task Classification [Journal of Edge Computing]

• Wildfire Detection Using Hybrid Vision Transformer and MobileNetV2 with XAI [Journal of Edge Computing]

• Advanced Ensemble Regression with Explainable AI for Long-Term Weather Forecasting [Asia-Pacific Journal of Information Technology and Multimedia (APJITM)]

• Histopathology-Based Lung and Colon Cancer Detection Using Vision Transformer and DenseNet121 with XAI [Electronic Letters on Computer Vision and Image Analysis (ELCVIA)]

• An Integrated Machine Learning and Deep Learning Approach for Multi-Class DDoS Attack Detection in IoMT Networks [Sustainable Engineering and Innovation (SEI)]

• TumorRes-UNet: Explainable Residual U-Net for Robust Multimodal Brain Tumor Segmentation in MRI [Healthcare Technology Letters (HTL)]

• Neuro-YOLO: An Explainable, Enhanced Model for Robust MRI Brain tumor Detection Ablation, Zero-Shot and Fine-Tuned Validation [Neural Computing and Applications]

• An Explainable Parallel Fire–Involution Architecture for Ovarian Cancer Histopathology Classification [Healthcare Technology Letters (HTL)]

• FedSSP-VRA: Federated Spectral Graph Learning with View-Specific Residual Adaptation and Post-Hoc Explanations for AMR Prediction [Network Modeling Analysis in Health Informatics and Bioinformatics]

• Patient-Similarity Graph Neural Networks for PCOS Detection from Routine Clinical Data [Network Modeling Analysis in Health Informatics and Bioinformatics]

• DPAStack: Depression Prediction Among Professionals from Biopsychosocial Factors using Model-Mediated Stacked Ensemble Approach [Quality & Quantity]

• Enhanced Psoriasis Classification with a Hybrid Deep Learning and Decision Framework Optimized by Artificial Bee Colony [SN Computer Science]

• MFDS-RCNN: A Mid-Fusion Dual-Stream Network for Trash Detection in Adverse Underwater Environments [IEEE Open Journal of the Computer Society]

• An Explainable Machine Learning Framework for Maternal Health Risk Prediction in Bangladesh Using Optimized Histogram-Based Gradient Boosting [Advances in Biomarker Sciences and Technology]

• Attention-Enhanced YOLOv8 for Interpretable Malaria Parasite Detection in High-Resolution Blood Smear Images [Informatics and Health]

• A Lightweight Hybrid CNN Model for Classification of Arsenic-Induced Skin Lesions [Iran Journal of Computer Science]

• Hybrid DarkNet-ResNet Ensemble with Explainable AI for Peripheral Blood Cell Classification [Inteligencia Artificial]

• Optimizing Industrial Sustainability: A Multi-Agent AI Framework for Waste Recovery, Smart Energy Distribution, and Emissions Monitoring Automotive Industry [Asia Pacific Journal of Information Systems (APJIS)]

• An Adaptive Machine Learning Approach for Early-Stage Detection of Parkinson's Disease Through Vocal Samples [JCC]

• Explainable Quantized ResNet18–Random Forest CSS optimized for Cervical Cancer Classification [No Track]

Conference Publications

• Explainable Approach on Clinical and Biochemical Parameters for Gallstone Disease Prediction using Ensemble model [ICEFronT 2026]

• Machine Learning–Driven Early Software Failure Risk Prediction for Quality Assurance [COMPAS 2026] 

• ConvXNet: A Lightweight and Explainable Deep Learning Framework for Betel Leaf Disease Classification [COMPAS 2026] 

• A Graph-Driven Approach for Image Representation and Feature Extraction: A Comprehensive Review [ICECTE 2026]

• Automated Tea Leaf Disease classification Using ViT-ResNet with Explainable AI [IDAA 2025]

• Community-Aware GCN Link Prediction for the Drosophila Medulla Connectome [ICCA 2026]

• Optimizing Hierarchical Attention Networks for Document-Level Sentiment Analysis [ICCA 2026]

• Automated Beef Freshness Classification via RegNetY–KNN Hybrid Optimized by WSA [ICCA 2026]

• Thunderstorm Death Prediction in Bangladesh using LNFI Framework for Early Warning [ICICCT 2026] 

• Prediction of Drug-Induced Liver Injury (DILI) from Molecular Structure: A Leakage-Controlled Benchmark and External-Validation Study of Graph Neural Networks and Gradient-Boosting Models [ICECE 2026] 

• BengaliSTR-Script: Unicode-Aware Failure Analysis Across Model Scales for Bengali-Script Scene Text Recognition [ICECE 2026] 

• CAW-Seg: Connectivity-Aware Wire Segmentation with Endpoint and Crossing Preservation [ICECE 2026] 

• Gender-Aware EfficientNetB0 for Explainable Pediatric Bone Age Assessment [ICCIT 2026]

• FieldShift-XAI Net: Explainable Attention Fused CNN-Transformer for Cross-Domain Tomato Leaf Disease Classification [ICCIT 2026]

• CardioFormer-XGB: An Explainable Hybrid Framework for Cardiovascular Disease Prediction Using Clinical Tabular Data [ICCIT 2026]

• YOLOv9-HHO: Metaheuristic-Optimized and Explainable PCB Defect Detection [ICCIT 2026]

• Machine Learning-Based Flood Risk Prediction in Bangladesh: An Imbalance-Aware, Explainable, and Cross-Regional Framework [ICCIT 2026]

Book Chapters

• Graph-Driven Multimodal Intelligence through Integrating IoT, Satellite Sensing, and Quantum AI for Precision Agriculture [IGI Global]

• Towards Quantum-Powered Smart Healthcare Systems through Intelligent Algorithms and Explainable AI Frameworks [IGI Global]

• Integrating Artificial Intelligence in Arab World Financial Ecosystems Innovations in Risk, Fraud, and Decision-Making [IGI Global]

• Exploring the Roles of Graph-Based AI for Predictive Insights, Safety, and Regulation in Modern Food Systems [IGI Global]

• Human-Centered Approaches to Bridging the Digital Divide for Sustainable Development [IGI Global]

• Artificial Intelligence for Pollution Management: Intelligent Systems for Environmental Detection, Prediction, and Control [Wiley Book Series]

• Integrating Generative AI in Smart City Infrastructure: From Synthetic Data to Explainable Systems [CRC Press (Taylor & Francis Group)]

• Human-Centered and AI-Enabled Monitoring, Learning, and Evaluation in the Public Sector [IGI]

• Reframing Human Resources Leadership With Human-Centered AI [IGI]

• Artificial Intelligence, Automation, and the Transformation of Organized Cybercrime [IGI]

• Artificial Intelligence Applications for Managing Non-Profit Organizations [IGI]

• Techniques and Challenges in Generating Synthetic Healthcare Data for Real-World Use [IGI]

• The Internet of Medical Things (IoMT) Architecture, Devices, and Healthcare Integration [IGI]

Datasets

Journal Publications

Conference Publications

Book Chapters

Datasets