Skip navigation

Dr Bing Zhai


Department: Computer and Information Sciences

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.  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.


Google Scholar: Click here

Bing Zhai

  • Please visit the Pure Research Information Portal for further information
  • ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition, Shao, S., Guan, Y., Zhai, B., Missier, P., Plötz, T. 12 Jun 2023, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
  • Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing, Zhai, B., Guan, Y., Catt, M., Ploetz, T. 30 Dec 2021, In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
  • Making sense of sleep: Multimodal sleep stage classification in a large, diverse population using movement and cardiac sensing, Zhai, B. 15 Jun 2020
  • The future of sleep health: a data-driven revolution in sleep science and medicine, Zhai, B. 23 Mar 2020

Computer Science PhD

a sign in front of a crowd

Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.

Research at Northumbria

Research at Northumbria

Research is the life blood of a University and at Northumbria University we pride ourselves on research that makes a difference; research that has application and affects people's lives.

NU World

Explore NU World

Find out what life here is all about. From studying to socialising, term time to downtime, we’ve got it covered.

Latest News and Features

AHRC banner, showing different people involved doing different activites.
Relief workers walking through rubble in the aftermath of a storm in North Africa.
£1 million funding award supports leading new medical research at Northumbria University
a photo of monsoon rain in a mountainous location
Norman Franklin and Dr Jane Greaves in the OSCE test centre at Northumbria University
Generic Image from Unsplash. Gothic style university library.
More news
More events

Upcoming events

Postgraduate Design Degree Exhibition
Some prickly Predicaments in Sonification
The Quorn Story

Back to top