Md. Rashedur Rahman, D. Eng.

Nur E Jannat Hema, Manosh Sur Choudhury, Sefatul Wasi, Siam Tahsin Bhuiyan, Fatin Israq, Noushin Anan, Saadia Binte Alam, Ashraful Islam, Rashedur Rahman

A Comprehensive Benchmark Study of Transfer Learning-Based Deep Learning Models for Brain Tumor Classification

2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), pp. 1-6, 2026

In: 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE)

Sadia Alam Kotha, Abdullah Al Alam Shanto, Mumtahina Esha, Siam Tahsin Bhuiyan, Halima Khatun, Rashedur Rahman, Ashraful Islam, Saadia Binte Alam

Learning From Both Eyes: A Bilateral Ensemble Approach for Retinal Disease Classification

2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), pp. 480-485, 2025

In: 2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)

Siam Tahsin Bhuiyan, Rubaya Khatun, Samiul Karim Mazumder, Fatin Israq, Sefatul Wasi, Rashedur Rahman, Ashraful Islam, Saadia Binte Alam

Preprocessing Matters: Benchmarking Image Enhancement Techniques for Pelvic Fracture Detection

2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), pp. 379-384, 2025

In: 2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)

Md Jahidul Hossain Mekat, Kazi Samin Nawal, Jasper Oliver D Rozario, Siam Tahsin Bhuiyan, Md Asif Bin Khaled, Md Rashedur Rahman, Ashraful Islam, Saadia Binte Alam

Deep Learning-Based Stenosis Segmentation in X-ray Angiography: Vision Transformers vs. CNNs

2025 28th International Conference on Computer and Information Technology (ICCIT), pp. 3553-3558, 2025

In: 2025 28th International Conference on Computer and Information Technology (ICCIT)

Md Faiyaz Abdullah Sayeedi, Rashedur Rahman, Siam Tahsin Bhuiyan, Sefatul Wasi, Ashraful Islam, Saadia Binte Alam, AKM Rahman

Route, Retrieve, Reflect, Repair: Self-Improving Agentic Framework for Visual Detection and Linguistic Reasoning in Medical Imaging

arXiv (Cornell University), 2026

Fatin Israq, Sefatul Wasi, Sazin Bin Noor, Siam Tahsin Bhuiyan, Saadia Binte Alam, Rashedur Rahman

Ultrasound Image-Based Liver Disease Detection Using Transfer Learning: A Comparative Analysis of CNN and Their Variants

2026 7th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), pp. 744-750, 2026

In: 2026 7th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI)

Tausia Tahsin Nuzum, Sumita Tasnim, Tasnia Rafique Simran, Ashraful Islam, Rashedur Rahman, M Ashraful Amin

FocusAI: An AI-Assisted Focus and Productivity App to Manage Academic Procrastination Among University Students

International Conference on Human-Computer Interaction, pp. 605-615, 2026

In: HCI International 2026 Posters

Siam Tahsin Bhuiyan, Halima Khatun, Samiul Karim Mazumder, Fatin Israq, Riyadul Islam, Rashedur Rahman, Ashraful Islam, Saadia Binte Alam

The Role of Model Architecture in Breast Cancer Classification: A Comparison of CNN and Transformer Paradigms on Ultrasound Data

2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), pp. 356-361, 2025

In: 2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)

Sauharda Sarkar, Farha Yesmin, Md Abrar Sayed Tasin, Fatin Israq, Siam Tahsin Bhuiyan, Rashedur Rahman, Saadia Binte Alam, Ashraful Islam

Effect of Augmentations on CNN Based Models for Congenital Heart Disease Detection from Chest X-Rays

2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), pp. 438-443, 2025

In: 2025 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)

Mohammad Masudur Rahman, Md Rashedur Rahman, Ashraful Islam, Saadia B Alam, M Ashraful Amin

A Scoping Review of Deep Learning for Urban Visual Pollution and Proposal of a Real-Time Monitoring Framework with a Visual Pollution Index

arXiv (Cornell University), 2026