I am a Lecturer in Computer Science. My research agenda is to develop practical AI tools to solve time-series data challenges in real-world applications. 听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.听
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.听
I was a research associate at the School of Computing at Newcastle University, working on the IDEA-FAST project (鈧�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.听
At 51爆料, 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.
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Sarah Alshahrani AI model for Improved Patients鈥� Clinical Prediction and Decision Support. Start Date: 20/06/2024
Computer Science PhD
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BALTIC; VANE Gallery and Gallery North
Lecture Theatre 003
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The Great Hall
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Room 301 and 313, Sandyford Building
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