Mir Sazzat Hossain

Md Fahim, Md Farhan Ishmam, Mir Sazzat Hossain, M Ashraful Amin, Amin Ahsan Ali, AKM Rahman

R-MMA: Enhancing Vision-Language Models with Recurrent Adapters for Few-Shot and Cross-Domain Generalization

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 6496-6506, 2026

In: 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

• vision-language models
• domain generalization
• cross-dataset generalization
• self-attention
• few-shot learning
• CLIP
• parameter efficiency
• cross-modal consistency

Sharbany Panday, Sourish Bairagi, Sinthia Sayma Rahman, Mir Sazzat Hossain, Md Rashedur Rahman, Ashraful Islam, Farhana Sarker

Machine Learning-Based Prediction of ADHD in Bangladeshi Children Using Behavioral and Demographic Insights

2025 28th International Conference on Computer and Information Technology (ICCIT), pp. 3518-3523, 2025

• attention deficit hyperactivity disorder
• Bangladeshi children
• socioeconomic factors
• DSM-5
• parent and teacher ratings
• Feature selection
• ensemble classifiers
• early diagnosis

• SDG 3Good Health and Well-being

Md Raqibul Islam, Adrita Khan, Mir Sazzat Hossain, Choudhury Ben Yamin Siddiqui, Md Zakir Hossan, Tanjib Khan, M Arshad Momen, Amin Ahsan Ali, AKM Mahbubur Rahman

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging

arXiv (Cornell University), 2025

• jet tagging
• graph neural networks
• Lund jet plane
• explainable deep learning
• perturbative QCD factorization
• jet classification
• Grad-CAM
• kinematic parameters

Fahim Mahafuz Ruhad, Md Fahim, Mir Sazzat Hossain, Md Fahad Monir, Ashraful Islam, M Ashraful Amin

Beyond classification: Benchmarking object detection models for efficient tomato leaf disease identification on a real-world dataset

Smart Agricultural Technology 12, pp. 101336, 2025

• Septoria leaf spot
• bacterial spot
• YOLOv9
• Object detection
• tomato leaf disease
• plant disease diagnosis
• lightweight models
• late blight
• edge deployment
• disease localization

• SDG 2Zero Hunger

Md Akil Raihan Iftee, Mir Sazzat Hossain, Rakibul Hasan Rajib, Tariq Iqbal, Md Mofijul Islam, M Ashraful Amin, Amin Ahsan Ali, AKM Rahman

SloMo-Fast: Slow-Momentum and Fast-Adaptive Teachers for Source-Free Continual Test-Time Adaptation

arXiv (Cornell University), 2025

• continual test-time adaptation
• catastrophic forgetting
• source-free adaptation
• domain shift

Md Akil Raihan Iftee, Syed Md Ahnaf Hasan, Mir Sazzat Hossain, Rakibul Hasan Rajib, Amin Ahsan Ali, AKM Mahbubur Rahman, Sajib Mistry, Monowar Bhuyan

pFedBBN: A Personalized Federated Test-Time Adaptation with Balanced Batch Normalization for Class-Imbalanced Data

arXiv (Cornell University), 2025

• test-time adaptation
• domain shift
• class imbalance
• Federated learning
• privacy-preserving federated learning
• minority class performance

Mir Sazzat Hossain, Ovi Paul, Md Akil Raihan Iftee, Rakibul Hasan Rajib, Abu Bakar Siddik Nayem, Anis Sarker, Arshad Momen, Md. Ashraful Amin, Amin Ahsan Ali, AKM Mahbubur Rahman

BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladesh

2025 IEEE International Conference on Image Processing (ICIP), pp. 2808-2813, 2025

• land use and land cover mapping
• DeepLabV3+
• Dhaka Metropolitan Area
• domain adaptation
• urban sprawl
• high-resolution satellite imagery
• pixel-wise annotation
• annotated dataset
• ground truth validation

• SDG 11Sustainable Cities and Communities

Mir Sazzat Hossain, Khan Muhammad Bin Asad, Payaswini Saikia, Adrita Khan, Md Akil Raihan Iftee, Rakibul Hasan Rajib, Arshad Momen, Md Ashraful Amin, Amin Ahsan Ali, AKM Mahbubur Rahman

RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification

2025 IEEE International Conference on Image Processing (ICIP), pp. 2868–2873, 2025

• intracluster medium
• active galactic nuclei
• convolutional neural networks
• ConvNeXt
• galaxy clusters
• radio galaxy classification
• astronomical image classification
• transformer models

Rakibul Hasan Rajib, Md Akil Raihan Iftee, Mir Sazzat Hossain, A. K. M. Mahbubur Rahman, Sajib Mistry, M Ashraful Amin, Amin Ahsan Ali

FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning

2025 International Joint Conference on Neural Networks (IJCNN), pp. 1–8, 2025

• Federated learning
• spatial heterogeneity
• continual test-time adaptation
• entropy minimization
• privacy preservation
• distribution shift
• temporal heterogeneity

Newaz Ben Alam, Akm Moshiur Rahman Mazumder, Mir Sazzat Hossain, Mysha Samiha, Md Alvi Noor Hossain, Md Fahim, Amin Ahsan Ali, Ashraful Islam, M Ashraful Amin, Akmmahbubur Rahman

CMBAN: Cartoon-Driven Meme Contextual Classification Dataset for Bangla

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, pp. 2178-2194, 2025

• Bengali language
• social media text classification
• multilingual text classification