Advancing AI Through Rigorous Research
Published Work in Leading Journals & Conferences
Vision-audio multimodal object recognition using hybrid and tensor fusion techniques
Md Redwan Ahmed, Rezaul Haque, SM Arafat Rahman, Ahmed Wasif Reza, Nazmul Siddique, Hui Wang
Information Fusion (Elsevier)
Feb 2026
Audio–visual multimodal object recognition with hybrid + tensor fusion strategies designed for robust real-world performance.
Ensemble Transformer with Post-hoc Explanations for Depression Emotion and Severity Detection
Sazzadul Islam, Rezaul Haque, Mahbub Alam Khan, Arafath Bin Mohiuddin, Md Ismail Hossain Siddiqui, Zishad Hossain Limon, Katura Gania Khushbu, SM Masfequier Rahman Swapno, Md Redwan Ahmed, Abhishek Appaji
iScience (Cell Press / Elsevier)
Jan 2026
DepTformer-XAI-SV: ensemble transformers for depression emotion/severity detection with LIME explanations and a web app.
Explainable Transformer Framework for Fast Cotton Leaf Diagnostics and Fabric Defect Detection
SM Masfequier Rahman Swapno, Anamul Sakib, Amira Hossain, Jesika Debnath, Abdullah Al Noman, Abdullah Al Sakib, Md Redwan Ahmed, Rezaul Haque, Abhishek Appaji
iScience (Cell Press / Elsevier)
Dec 2025
Explainable transformer framework spanning agriculture (cotton leaf) and textile inspection (fabric defect) with practical interpretability.
LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis
Jesika Debnath, Amira Hossain, Anamul Sakib, Hamdadur Rahman, Rezaul Haque, Md Redwan Ahmed, Ahmed Wasif Reza, SM Masfequier Rahman Swapno, Abhishek Appaji
Informatics in Medicine Unlocked (Elsevier)
2025
Hybrid ViT with attention and XAI for efficient and explainable lung cancer diagnosis (deployment-oriented).
Accelerated and accurate cervical cancer diagnosis using a novel stacking ensemble method with explainable AI
Md Ismail Hossain Siddiqui, Shakil Khan, Zishad Hossain Limon, Hamdadur Rahman, Mahbub Alam Khan, Abdullah Al Sakib, SM Masfequier Rahman Swapno, Rezaul Haque, Ahmed Wasif Reza, Abhishek Appaji
Informatics in Medicine Unlocked (Elsevier)
2025
Stacking ensemble + explainability for reliable cervical cancer diagnosis using Pap smear imaging.
Hierarchical Swin Transformer Ensemble with Explainable AI for Robust and Decentralized Breast Cancer Diagnosis
Md Redwan Ahmed, Hamdadur Rahman, Zishad Hossain Limon, Md Ismail Hossain Siddiqui, Mahbub Alam Khan, Al Shahriar Uddin Khondakar Pranta, Rezaul Haque, SM Masfequier Rahman Swapno, Young-Im Cho, Mohamed S Abdallah
Bioengineering (MDPI)
Jun 2025
Federation-ready Swin-Transformer ensemble with post-hoc explainability for robust breast cancer diagnosis.
Explainable deep stacking ensemble model for accurate and transparent brain tumor diagnosis
Rezaul Haque, Mahbub Alam Khan, Hamdadur Rahman, Shakil Khan, Md Ismail Hossain Siddiqui, Zishad Hossain Limon, SM Masfequier Rahman Swapno, Abhishek Appaji
Computers in Biology and Medicine (Elsevier)
Jun 2025
Explainable deep stacking ensemble for brain tumor diagnosis with transparency-focused reporting.
A Novel MaxViT Model for Accelerated and Precise Soybean Leaf and Seed Disease Identification
Al Shahriar Uddin Khondakar Pranta, Hasib Fardin, Jesika Debnath, Amira Hossain, Anamul Haque Sakib, Md Redwan Ahmed, Rezaul Haque, Ahmed Wasif Reza, M Ali Akber Dewan
Computers (MDPI)
May 2025
MaxViT-based diagnostic pipeline for soybean leaf/seed diseases emphasizing efficiency and interpretability.
ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence
Abdullah Al Noman, Amira Hossain, Anamul Sakib, Jesika Debnath, Hasib Fardin, Abdullah Al Sakib, Rezaul Haque, Md Redwan Ahmed, Ahmed Wasif Reza, M Ali Akber Dewan
Computers (MDPI)
May 2025
ViT–EfficientFormer hybrid with stacking ensemble and XAI for accurate mango leaf disease recognition.
Advancing Early Leukemia Diagnostics: A Comprehensive Study Incorporating Image Processing and Transfer Learning
Rezaul Haque, Abdullah Al Sakib, Md Forhad Hossain, Fahadul Islam, Ferdaus Ibne Aziz, Md Redwan Ahmed, Somasundar Kannan, Ali Rohan, Md Junayed Hasan
BioMedInformatics (MDPI)
Apr 2024
Image-processing + transfer-learning driven leukemia diagnostics with strong comparative evaluation.
Hallucination-Resistant Tri-Modal Information Fusion with a Multi-Granularity Text-Aware Multimodal LLM
CredenceX AI Team
Information Fusion (Elsevier)
2025
Tri-modal fusion with multi-granularity alignment for hallucination-resistant multimodal LLM decision-making.
Adaptive Distribution-Aware Hybrid Transformer with Multi-Scale Tokenization for Robust Medical Image Analysis
CredenceX AI Team
Medical Image Analysis (Elsevier)
2026
Distribution-aware hybrid transformer design to improve robustness under clinical domain shift.
Multi-Stage Deep Learning Pipeline for Gallbladder Disease Classification: Comparative Analysis of Baseline Models, Semi-Supervised Learning Integration, and Novel Self-Supervised Foundation Model Fusion
CredenceX AI Team
Medical Image Analysis (Elsevier)
2025
A multi-stage pipeline combining baseline comparisons, SSL, and foundation-model fusion for gallbladder disease classification.
Semi-Supervised Learning for Calibrated and Label-Efficient Retinal Disease Identification
CredenceX AI Team
Knowledge-Based Systems (Elsevier)
2025
Semi-supervised, calibration-aware retinal disease identification under limited-label regimes.
Communication-Aware Federated Self-Supervised Learning for Intelligent IoT Intrusion Detection System
CredenceX AI Team
Knowledge-Based Systems (Elsevier)
2025
Communication-aware federated SSL framework for scalable IoT intrusion detection under bandwidth constraints.
Aspect-Aware Multimodal Sentiment Analysis of E-Commerce Reviews via Contrastive Graph Fusion for Business Intelligence
CredenceX AI Team
Information Sciences (Elsevier)
2025
Contrastive graph fusion for aspect-aware multimodal sentiment slopes in e-commerce business intelligence.
Efficient and Robust Transformer-Based Facial Screening for Explainable Autism Spectrum Disorder Identification
CredenceX AI Team
Array (Elsevier)
2025
Efficiency-driven transformer facial screening pipeline with explainability for ASD identification.
LightVTD: Lightweight Explainable Vision Transformer with Multi-Path Token Fusion for Drowsiness Detection
AL RAFY, Md Najmul Gony, Md Mashfiquer Rahman, Mohammad Shahadat Hossain, Sd Maria Khatun Shuvra, Rezaul Haque, Md. Redwan Ahmed, S M Masfequier Rahman Swapno, Tahani Jaser Alahmadi, Mohammad Ali Moni
Scientific Reports (Nature Portfolio)
2025
Lightweight explainable ViT with multi-path token fusion for early drowsiness detection in safety-critical scenarios.
Facial Emotion Recognition Using Deep Learning to Identify Problems Related to Mental Health
CredenceX AI Team
Scientific Reports (Nature Portfolio)
2025
Deep learning facial emotion recognition aimed at mental health screening signals with robust evaluation.
MaizeFormerX: An Explainable and Lightweight Vision Transformer with Dual-Scale Architecture for Early Detection of Maize Leaf Disease
AL RAFY, Md Najmul Gony, Md Mashfiquer Rahman, Mohammad Shahadat Hossain, Sd Maria Khatun Shuvra, Rezaul Haque, Md. Redwan Ahmed, S M Masfequier Rahman Swapno, Tahani Jaser Alahmadi, Mohammad Ali Moni
Scientific Reports (Nature Portfolio)
2025
Explainable, lightweight dual-scale ViT architecture for maize leaf disease identification under field-like conditions.
Goldenhar Syndrome Detection with OD-Mamba Backbone for Explainable Rare Craniofacial Disorder Diagnosis
CredenceX AI Team
Scientific Reports (Nature Portfolio)
2025
OD-Mamba backbone for explainable rare craniofacial disorder diagnosis (Goldenhar syndrome).
Fin-TweetX: Multimodal Fusion for Stock Price Movement Prediction via Twitter Sentiment and Technical Indicators
CredenceX AI Team
Applied Soft Computing (Elsevier)
2025
Multimodal fusion of social sentiment and technical indicators for stock movement prediction under noise/drift.
C²-SHMN: Causally-Conditioned Spiking Hyper-Meta Networks for Low-Power Event Sensing and Inertial Fusion
CredenceX AI Team
IEEE Access
2025
Causality-conditioned spiking hyper-meta networks for low-power sensing and inertial/event fusion.
Explainable Token-Fusion Transformer for Early Drowsiness State Recognition in Safety-Critical Systems
CredenceX AI Team
Array (Elsevier)
2025
Token-fusion transformer for early drowsiness state recognition with explainability and safety-critical constraints.
Explainable AI-Driven Hybrid Deep Learning Framework for Accurate Skin Cancer Diagnosis
Abdullah Al Sakib, S M Masfequier Rahman Swapno, Fahim Ahamed, Arafath Bin Mohiuddin, Md Imranul Hoque Bhuiyan, Shakil Khan, Katura Gania Khushbu, Rezaul Haque, Tahani Jaser Alahmadi, Mohammad Ali Moni
Digital Health (Sage)
2025
Hybrid deep learning skin cancer diagnosis framework emphasizing explainability and clinically aligned reporting.
Efficient Web-Based Automated Poultry Disease Detection Using Transfer Learning Models
Md Redwan Ahmed, Md Ariful Islam, Anamul Sakib, Md Nuruzzaman Pranto, Md Alamin, Umashankar Rawat, Pronaya Bhattacharya, Ravinder Kumar
INCIP 2025
2025
Web-based poultry disease detection using transfer learning for real-time screening.
Hybrid Vision Transformer Model for Accurate Prostate Cancer Classification in MRI Images
Jesika Debnath, Arafath Bin Mohiuddin, Anamul Sakib, Amira Hossain, Md Moniruzzaman Shanto, Shamim Forhad, Md Redwan Ahmed, Rezaul Haque, Shafiur Rahman
ECCE 2025
2025
Hybrid ViT-based prostate cancer MRI classification with efficiency and interpretability direction.
Transformer-Based Ensemble Model for Binary and Multiclass Oral Cancer Segmentation
Amira Hossain, Anamul Sakib, Jesika Debnath, Md Tanvir Rahman Tarafder, Sazzadul Islam, Shamim Forhad, Md Redwan Ahmed, Rezaul Haque, Shafiur Rahman
ECCE 2025
2025
Transformer-based ensemble for oral cancer segmentation (binary + multiclass settings).
Ensemble-Based Explainable Approach for Rare Medicinal Plant Recognition and Conservation
Shakil Khan, Hamdadur Rahman, Md Ismail Hossain Siddiqui, Zishad Hossain Limon, Mahbub Alam Khan, Rezaul Haque, Md Redwan Ahmed, Ahmed Wasif Reza, Shamim Hasnat Ripon
ICINT 2025
2025
Explainable ensemble pipeline for rare medicinal plant recognition supporting conservation use-cases.
Towards Automated Detection of Tomato Leaf Diseases
Md Redwan Ahmed, Rezaul Haque, SM Arafat Rahman, Sheikh Afridi, Md Fahim Faez Abir, MD Forhad Hossain, M Saddam Hossain Khan, Md Mohsin Uddin
ICEEICT 2024
2024
Automated tomato leaf disease detection with robust augmentation and baseline benchmarking.
Web Application-Based Enhanced Esophageal Disease Diagnosis in Low-Resource Settings
Abdullah Al Masum, Zishad Hossain Limon, Md Ariful Islam, Md Shahidur Rahman, Mahbub Khan, Sheikh Shemanto Afridi, Md Redwan Ahmed, Shafiur Rahman
BECITHCON 2024
2024
Deployment-oriented esophageal disease diagnosis via a web application for low-resource settings.
Robust Phishing URL Classification Using FastText Character Embeddings and Hybrid Deep Learning
Abdullah Al-Sakib, Zishad Hossain Limon, Anamul Sakib, Md Nuruzzaman Pranto, Md Ariful Islam, Shayma Sultana, Md Redwan Ahmed, Shafiur Rahman
RAAICON 2024
2024
Robust phishing URL classification using FastText character embeddings and hybrid deep learning.
Transforming Leukemia Classification: A Comprehensive Study on Deep Learning Models for Enhanced Diagnostic Accuracy
Jawad Hasan, Kamrul Hasan, Abdullah Al Noman, Sayed Hasan, Shayma Sultana, Masum Alam Arafat, Saba Amena Islam, Abboy Sarker, Shafiur Rahman, Md Redwan Ahmed
PEEIACON 2024
2024
Comparative leukemia classification study across deep learning baselines and practical evaluation.
Parasitology Unveiled: Revolutionizing Microorganism Classification Through Deep Learning
Md Delwar Hosen, Arafath Bin Mohiuddin, Nayamul Sarker, Md Shadman Sakib, Abdullah Al Sakib, Riyadot Hossain Dip, Md Redwan Ahmed, Rezaul Haque
ICEEICT 2024
2024
Deep learning pipeline for microorganism classification with deployment-aware considerations.
Monkeypox Lesion Classification: A Transfer Learning Approach for Early Diagnosis and Intervention
Abdullah Al Noman, Hasib Fardin, Gunjan Chhabra, Shayma Sultana, Rezaul Haque, Md Redwan Ahmed, Swarna Hasibunnahar, Keshav Kaushik
IC3I 2024
2024
Transfer learning pipeline for monkeypox lesion classification with early-intervention focus.
Classroom Activity Classification with Deep Learning
Abdullah Al-Sakib, Fahadul Islam, Rezaul Haque, Md Babul Islam, Ayesha Siddiqua, Mohammad Mominur Rahman
ICICACS 2024
2024
Deep learning-based classroom activity classification with practical deployment orientation.
Addressing Misinformation in Bengali Media: A Hybrid Deep Learning Solution
Fuad Ibne Jashim Farhad, Shah Imran, Md Mehedi Hasan Santo, Mahbub Khan, Anamul Sakib, Md Shahidur Rahman, Md Ariful Islam, Rezaul Haque, Shafiur Rahman
ICCIT 2024
2024
Hybrid deep learning approach for Bangla misinformation recognition and evaluation.
A Novel Machine Learning Approach for Fast and Efficient Detection of Mango Leaf Diseases
SM Masfequier Rahman Swapno, Sm Nuruzzaman Nobel, Md Babul Islam, R Haque, VP Meena, F Benedetto
ICMI 2024
2024
Fast mango leaf disease detection using ML baselines with deployment-friendly design choices.
A transfer learning-based computer-aided lung cancer detection system in smart healthcare
Rezaul Haque, Shyama Sultana, Al Rafy, Md Babul Islam, Masum Alam Arafat, Pronaya Bhattacharya, Pushan Kumar Dutta
SCS 2024
2024
Transfer learning-based lung cancer detection system targeting smart healthcare deployment.
Data-Centric Approach for Leather Quality Control Using Advanced Vision Transformer Models
Rezaul Haque, Mahbub Khan, Md Nuruzzaman Pranto, Md Ariful Islam, Md Babul Islam, Umashankar Rawat, Pronaya Bhattacharya, Mahesh Jangid
INCIP 2024
2024
Vision Transformer-based leather quality control with data-centric processing and inspection focus.
Improving Drug Review Categorization Using Sentiment Analysis and Machine Learning
Rezaul Haque, Piyush Kumar Pareek, Md Babul Islam, Ferdaus Ibne Aziz, Swakshar Das Amarth, Katura Gania Khushbu
ICDSNS 2023
2023
Drug review categorization via sentiment analysis and classical/deep learning baselines.
Deep Learning for Multi Labeled Cyberbully Detection: Enhancing Online Safety
Naimul Islam, Rezaul Haque, Piyush Kumar Pareek, Md Babul Islam, Imam Hossain Sajeeb, Mahedi Hassan Ratul
ICDSNS 2023
2023
Multi-label cyberbully detection using deep learning and robust text preprocessing.
Bengali Emotion Classification Using Hybrid Deep Neural Network
Rezaul Haque, Md Babul Islam, Katura Gania Khushbu, Shafiur Rahman, Awan Ur Rahman, Md Helal Hossen, Tanbin Islam Rohan
AIKIIE 2023
2023
Hybrid deep neural network for Bengali emotion classification under real-world noise patterns.
Deep Learning-Based Left Ventricular Ejection Fraction Estimation from Echocardiographic Videos
Shafiur Rahman, Rezaul Haque, SM Masfequier Rahman Swapno, Md Babul Islam, SM Nuruzzaman Nobel
EASCT 2023
2023
Echocardiographic video modeling for LVEF estimation using deep learning.
Scientific Article Classification: Harnessing Hybrid Deep Learning Models for Knowledge Discovery
Rezaul Haque, BD Parameshachari, Md Kamrul Hasan, Ahsanul Hoque Sakib, Awan Ur Rahman, Md Babul Islam
AIKIIE 2023
2023
Hybrid deep learning for scientific article classification and knowledge discovery workflows.
Alzheimer Disease Classification Using Deep Neural Network
Rezaul Haque, Md Babul Islam, Gunjan Chhabra, Smita Sharma, Keshav Kaushik, Md Delwar Hosen, Riyadot Hossain Dip
UPCON 2023
2023
Deep neural network-based Alzheimer disease classification with baseline comparisons.
BASFL-IDS: Bandwidth-Aware Federated Self-Supervised Learning for IoT Intrusion Detection
CredenceX AI Team
ICML
2026
Bandwidth-aware federated SSL for scalable IoT IDS under communication constraints.
Multi-Level Domain Adaptation with Prompts, Adapters, and Sparse Experts for Intraoral Imaging
CredenceX AI Team
ICML
2026
Prompt/adaptor/sparse-expert based domain adaptation for robust intraoral imaging performance.
Explainable Transformer-Based Models for Land Use and Land Cover Classification
CredenceX AI Team
PEEIACON 2025
2025
Explainable transformer pipelines for land use/land cover classification with trustworthiness reporting.
Capturing Cross-Product Dependencies with a Hybrid Transformer for Supply Chain Demand Forecasting
CredenceX AI Team
BECITHCON 2025
2025
Hybrid transformer for demand forecasting with explicit modeling of cross-product dependencies.