Research & Publications

Electroencephalogram-Based Driver Drowsiness Detection Using Entropy Features with Light Weight Deep Learning Model

M. A Hasan, M. A. Motin, M. S.S. Dip, and G.K.M. Hasanuzzaman:, Time-frequency analysis in Biomedical Engineering: Contemporary Methods and Applications, CRC Press, 2026.

Optimized Feature Selection and Neural Network-Based Classification of Motor Imagery Using EEG Signals

M.S.S. Dip, M.A. Motin, M.A. Hasan, S. Kabir:

A Time-Frequency Approach: Time-frequency analysis in Biomedical Engineering: Contemporary Methods and Applications, CRC Press , 2026.

NeuroSleepNet: An Explainable Multi-Head Attention-Based Framework with Spatial and Multi-Scale Independent Temporal Context Learning for Automatic Sleep Stage Scoring

M. S. S. Dip, M. A. Motin, C. Karmakar, T. Penzel, M. Palaniswami

IEEE Access, 2026

DeepApneaNet: A Multi-Stage CNN-Bi-LSTM hybrid model for sleep apnea detection from Single-Lead ECG signal 

I Hossan, MSS Dip, S Kabir, MA Motin 

IEEE Sensors Letters, 2025

Cognitive Workload Classification Using Electroencephalogram Signal 

M.S.S. Dip 

2024 27th International Conference on Computer and Information Technology

RoboVox Far Field Speaker Recognition: A Novel Data Augmentation Approach with Pretrained Models 

MSS Dip, MA Hasan, SS Bipro, MA Raiyan, MA Motin

IEEE Signal Processing Cup, ICASSP 2024, Seoul, South Korea

Deep Learning Based Motor Imagery Intention Classification Using Electroencephalogram Signal

MSS Dip, MA Hasan, S Kabir, MA Motin

IEEE WIECON-ECE 2023 , Kerala, INDIA