I am an Assistant Professor in Computer Science. My research agenda is to develop practical AI tools to solve time-series data challenges in real-world applications. I am particularly interested in time series data analysis, e.g., biosignal analysis, computational behaviour analysis and healthcare applications. I am also interested in AI for good, computer vision and audio/speech analysis.
In essence, it is to model the practical problems using mathematical languages and develop machine learning algorithms for the optimal solution, bridging the gap between signal/data and human-understandable knowledge. In particular, I have experience developing ML/DL algorithms for biosignal data-based applications in physical behaviour assessment and health and well-being monitoring.
I was a research associate at the School of Computing at Newcastle University, working on the IDEA-FAST project (€40 million) to identify digital endpoints and biomarkers of sleep disturbance and fatigue. During this time, I obtained my PhD in data science for healthcare from the School of Computing, Newcastle University.
At Northumbria University, I currently conduct sleepiness and fatigue research using machine learning methods and collaborate with more than a dozen research institutions on the IDEA-FAST project.
Website: https://bzhai.github.io/
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Sarah Alshahrani AI-Based Multimodal Model for Enhanced Clinical Decision Support and Phrase-Level Grounding in Chest Disease Detection. Start Date: 20/06/2024
Computer Science PhD
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