Conference Publications
Cutting-Edge Research Presented at Leading AI Conferences
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.