Actively Looking for PhD and Master's Opportunities

Conference Papers

Privacy preserving machine learning model personalization through federated personalized learning

Published in 4th International Conference on Data Analytics for Business and Industry (ICDABI)
Link |   DOI: https://doi.org/10.1109/ICDABI60145.2023.10629638

PaperNet: Efficient Temporal Convolutions and Channel Residual Attention for EEG Epilepsy Detection

Published in International Conference on Intelligent Data Analysis and Applications (IDAA)
Link |   DOI: https://doi.org/10.48550/arXiv.2512.22172

Work in Progress

Artifact Removal in Cross-Subject EEG Locomotion Decoding: A Comparison of Classical and Deep Learning Models

Research Focus: Artifact removal in cross-subject EEG locomotion decoding, comparing classical and deep learning models.

Knowledge Distillation from Multimodal EEG-EMG Teacher to EEG-Only Student for Pre-Movement Intention Detection

Research Focus: Knowledge distillation from multimodal EEG-EMG teacher to EEG-only student for pre-movement intention detection, aiming to enhance the performance of EEG-based models by leveraging information from both modalities.

Supervised Theses

Time Traffic Sign Detection Using CNN: A Bangladesh-Oriented Approach

Research Focus: Time traffic sign detection using CNN, with a focus on developing a Bangladesh-oriented approach to enhance traffic safety and navigation.
Students: Sheikh Mehedi Hasan, Sumaiya Binte Hossain, Jannat-E-Nur, Sohada Akter Riya
Supervisor: Md Shahriar Sajid

Impacts of COVID-19 Vaccines among Bangladeshi Adults: Facts, Insights, and Findings

Research Focus: Impacts of COVID-19 vaccines among Bangladeshi adults, providing facts, insights, and findings to inform public health strategies and vaccine deployment in Bangladesh.
Students: Abdullah Al Azme, Neyamot Ullah
Supervisor: Md Shahriar Sajid