Bing Zhai

Bing Zhai is an Assistant Professor in Computer Science at Northumbria University, specializing in developing practical AI tools to solve time-series data challenges in real-world applications. His research bridges the gap between signal/data and human-understandable knowledge through mathematical modeling and machine learning algorithms, with particular focus on healthcare applications.

Education

• PhD in Data Science for Healthcare, School of Computing, Newcastle University

Research Interests

Dr. Zhai's primary research interests include time series data analysis, biosignal analysis, computational behaviour analysis, and healthcare applications. He has extensive experience developing machine learning and deep learning algorithms for biosignal data-based applications in physical behaviour assessment and health and well-being monitoring. His work spans AI for good initiatives, computer vision, and audio/speech analysis.

At Northumbria University, he conducts sleepiness and fatigue research using machine learning methods and collaborates with more than a dozen research institutions on the IDEA-FAST project (€40 million), which focuses on identifying digital endpoints and biomarkers of sleep disturbance and fatigue.

Research Trends

Dr. Zhai's recent publications demonstrate a strong focus on applying machine learning to healthcare challenges, particularly in sleep analysis, medical imaging, and cardiovascular risk prediction. His work shows expertise in multimodal data fusion, explainable AI for medical applications, and specialized architectures for time-series and biosignal data processing. He frequently develops novel neural network architectures tailored for specific healthcare applications while maintaining practical usability.

Supervision and Projects

Dr. Zhai currently supervises PhD research, including Sarah Alshahrani's work on 'AI-Based Multimodal Model for Enhanced Clinical Decision Support and Phrase-Level Grounding in Chest Disease Detection' (started June 2024). He was previously a research associate at the School of Computing at Newcastle University, working on the IDEA-FAST project to identify digital endpoints and biomarkers of sleep disturbance and fatigue.