Bing Zhai

Bing Zhai

Computational Behaviour Analysis, Machine Learning, Signal Processing, Biomedical

Bing Zhai

I am looking for potential PhD students interested in doing research with me at the Computer and Information Sciences, Northumbria University (UK). Please get in touch if you have any questions. The research topics should focus on applied machine learning and data science. Please get in touch if you are interested. Full scholarships are available for EU/UK and international students. Note to international students: some projects may only cover the UK tuition fees.


Full Scholarship PhD opportunity OP2416 Machine Learning for Urban Climate: How to Cool Down Your City with Trees, working with Wai Lok Woo, Shidong Wang, Jiayi Jin and myself. This position is based in Northumbria University. More detail can be found HERE. * The deadline of application is 11th January 2024, midnight*

  • The studentship awards include: 3.5 years of full fees (UK & International), an annual tax-free living allowance (£18,622) and a Research Training Support Grant (for travel, consumables, as required - £8,200 per project), a Cohort-training programme access to additional UKRI funded activities - Policy placements etc.


Full Scholarship PhD opportunity Advancing Human Motion Synthesis Through Multimodal Data Fusion and Machine Learning (Ref: RDF24/EE/CIS/ZHAI), working with Wai Lok Wooand myself. This position is based in Northumbria University. More detail can be found HERE. * The deadline of application is 26th January 2024*

  • The studentship awards include: The studentship is available to Home and International (including EU) students and includes a full stipend at UKRI rates (for 2023/24 full-time study this is £18,622 per year) and full tuition fees. Studentships are also available for applicants who wish to study on a part-time basis over 5 years (0.6 FTE, stipend £11,173 per year and full tuition fees) in combination with work or personal responsibilities..




Since September 2022, I am a Lecturer in Artificial Intelligence at the Computer and Information Sciences, Northumbria University (UK). Before that, I was a postdoctoral researcher working on the IDEA-FAST project (€40 million) to identify digital endpoints and biomarkers of sleep disturbance and fatigue in the OpenLab at the School of Computing, University of Newcastle upon Tyne. I also had a chance to be a visiting scientist at the MRC Epidemiology Unit, University of Cambridge, working with Dr Søren Brage on the project of wrist-worn accelerometer-based human activity recognition.

I received my PhD degree from the School of Computing, University of Newcastle upon Tyne, in 2023. My research focuses on automated sleep stage monitoring using ubiquitous computing technologies.



I investigate topics in machine learning/deep learning and signal processing. 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.



News

  • 21 May 2023: (New) One paper accepted to Digital Health.
  • 16 Feb 2023: (New) One paper accepted to Ubicomp 2023 (core A*).
  • 10 Dec 2022: (New) Temporal Neighborhood based Self-supervised Pre-training Model for Sleep Stages Classification accepted to ICBBT