Mahmudul Hasan

According to our database, Mahmudul Hasan authored at least 18 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Fast Convergent Federated Learning via Decaying SGD Updates.

Md Palash Uddin, Yong Xiang, Mahmudul Hasan, Yao Zhao, Youyang Qu, Longxiang Gao

IEEE Trans. Big Data, February, 2026

Multi-component Weather Prediction using Self-Supervised Multi-Fidelity Ensemble Learning with Model Explainability.

Md Amir Hamja, Mahmudul Hasan, Md Ziaul Hassan, Md Palash Uddin

Eng. Appl. Artif. Intell., 2026

Assessment of socioeconomic and demographic risk factors for low birth weight using model-agnostic explainable ensembles.

Md Amir Hamja, Mahmudul Hasan, Maknun Jahan, Md Ziaul Hassan

Comput. Methods Programs Biomed., 2026

Mitigating classification discrepancies in cesarean section using robust data balancing and domain-informed explanations.

Md. Rashedul Islam, Mahmudul Hasan, Priyanka Roy, Md Palash Uddin, Petr Hájek, Mohammad Zoynul Abedin

Biomed. Signal Process. Control., 2026

Enhancing brain tumor classification with a novel attention based explainable deep learning framework.

Md Jahid Hasan, Mahmudul Hasan, Sumya Akter, Abu Bakar Siddique Mahi, Md Palash Uddin

Biomed. Signal Process. Control., 2026

2025

A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions.

Md Palash Uddin, Yong Xiang, Mahmudul Hasan, Jun Bai, Yao Zhao, Longxiang Gao

ACM Comput. Surv., October, 2025

A blending ensemble learning model for crude oil price forecasting.

Mahmudul Hasan, Mohammad Zoynul Abedin, Petr Hájek, Kristof Coussement, Md. Nahid Sultan, Brian Lucey

Ann. Oper. Res., October, 2025

Enhancing flood forecasting performance using effective and transparent explainable hybrid deep learning model.

Mahmudul Hasan, Md. Fazle Rabbi, Md Amir Hamja, Kanij Fatema, Md. Mahedi Hassan

Earth Sci. Informatics, February, 2025

Deep learning-based exchange rate prediction during the COVID-19 pandemic.

Mohammad Zoynul Abedin, Mahmudul Hasan Moon, Mohammad Kabir Hassan, Petr Hájek

Ann. Oper. Res., February, 2025

DAARA: Divergence-Aware Attention for Robust Aggregation in Federated Learning Against Poisoning Attacks.

Md Palash Uddin, Mahmudul Hasan, Yong Xiang

Proceedings of the Data Science and Machine Learning, 2025

FedMOAR: Multi-objective Adaptive Regularization for Fair and Efficient Federated Learning.

Mahmudul Hasan, Md Palash Uddin, Yong Xiang, John Yearwood, Longxiang Gao

Proceedings of the Data Science and Machine Learning, 2025

Policy Gradient-Based Reinforcement Weighted Aggregation for Efficient Federated Learning on Heterogeneous Data.

Mahmudul Hasan, Md Palash Uddin, Yong Xiang, John Yearwood, Longxiang Gao

Proceedings of the AI 2025: Advances in Artificial Intelligence, 2025

2024

Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets.

Mahmudul Hasan, Md Abdus Sahid, Md Palash Uddin, Md Abu Marjan, Seifedine Kadry, Jungeun Kim

PeerJ Comput. Sci., 2024

Advancing reservoirs water quality parameters estimation using Sentinel-2 and Landsat-8 satellite data with machine learning approaches.

Md. Mamun, Mahmudul Hasan, Kwang-Guk An

Ecol. Informatics, 2024

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification.

Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

IEEE Access, 2024

GroundingCarDD: Text-Guided Multimodal Phrase Grounding for Car Damage Detection.

Md Jahid Hasan, Agustinus Nalwan, Kok-Leong Ong, Hamed Jahani, Yee Ling Boo, Kha Cong Nguyen, Mahmudul Hasan

IEEE Access, 2024

2023

Tribal Dress Identification using Convolutional Neural Network.

Md. Fazle Rabbi, Md. Nahid Sultan, Mahmudul Hasan, Md. Zahidul Islam

J. Inf. Hiding Multim. Signal Process., September, 2023

Cesarean Section Classification Using Machine Learning With Feature Selection, Data Balancing, and Explainability.

Md. Nahid Sultan, Mahmudul Hasan, Md Ferdous Wahid, Hasi Saha, Ahsan Habib

IEEE Access, 2023