PhD Researcher at Durham University, UK
Lecturer at Princess Nourah bint Abdulrahman University, Saudi Arabia
I am a PhD researcher in Computer Science at Durham University, working on deep learning for intelligent transportation systems. My research focuses on designing compact, interpretable neural architectures that detect aggressive driving behaviour from vehicle sensor data under real-world conditions — including severe class imbalance and high driver variability.
- Deep learning for time-series classification
- Driver behaviour analysis and road safety
- Class imbalance learning (SMOTE, focal loss, threshold calibration)
- Attention mechanisms and sequence modelling (CNN, BiLSTM)
- Vehicle telematics and OBD/IMU signal processing
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CBANet: A Compact Attention-Based CNN–BiLSTM Network for Aggressive Driving Event Detection
IJCNN 2026 · IEEE World Congress on Computational Intelligence
Repository -
Machine Learning for Automobile Driver Identification Using Telematics Data
Springer, 2019
Paper
