Dr Shuangyu Wei
(she/her)
BEng, PhD
Teams and roles for Shuangyu Wei
Lecturer in Sustainable Mega Building and PostDoc Research Associate
Overview
I am a Postdoctoral Research Associate in the Energy, Environment, and People (EEP) group and Lecturer in Building Physics at the Welsh School of Architecture (WSA). Holding a PhD in Building Technology and a BEng (Hons) in Architectural Environment Engineering from the University of Nottingham, UK, my research focus on the intersection of sustainable built environments, intelligent building technologies, and community-centered climate solutions to achieve net-zero goals and support thriving communities.
Currently, I work on the AHRC-funded project, Community Open Map Platform (COMP) for Future Generations: Charting the Green Transition on the Isle of Anglesey, focusing on air quality investigation and mapping. By engaging schoolchildren in air quality monitoring and data interpretation, this collaborative work raises environmental awareness while generating actionable insights for healthier communities.
During my PhD, I developed a novel computer vision-based deep learning approach for estimating equipment heat emissions in buildings. This enables adaptive control of building management systems, improving energy efficiency, thermal comfort, and indoor environmental quality.
I have published over 20 peer-reviewed papers in journals such as Applied Energy, Building Engineering, Building and Environment, and Renewable Energy.
Publication
2024
- Zhang, W., Calautit, J., Tien, P. W., Wu, Y. and Wei, S. 2024. Deep learning models for vision-based occupancy detection in high occupancy buildings. Journal of Building Engineering 98, article number: 111355. (10.1016/j.jobe.2024.111355)
2022
- Tien, P. W., Wei, S., Darkwa, J., Wood, C. and Calautit, J. K. 2022. Machine learning and deep learning methods for enhancing building energy efficiency and indoor environmental quality - a review. Energy and AI 10, article number: 100198. (10.1016/j.egyai.2022.100198)
Articles
- Zhang, W., Calautit, J., Tien, P. W., Wu, Y. and Wei, S. 2024. Deep learning models for vision-based occupancy detection in high occupancy buildings. Journal of Building Engineering 98, article number: 111355. (10.1016/j.jobe.2024.111355)
- Tien, P. W., Wei, S., Darkwa, J., Wood, C. and Calautit, J. K. 2022. Machine learning and deep learning methods for enhancing building energy efficiency and indoor environmental quality - a review. Energy and AI 10, article number: 100198. (10.1016/j.egyai.2022.100198)
Research
Research Interests:
- Smart building and smart sensing using computer vision
- Studying occupant-building interactions to inform human-centric designs
- Participatory approaches and social science methods in environmental monitoring and decision-making
- Strategies balacing air quaity, comfort, and energy use in buildings with behavioural considerations
- Indoor environmental quality and energy performance
Teaching
Lectures, tutorials, and other teaching activities in programmes:
- MSc Climate Comfort and Energy
- MSc Sustainable Mega-Buildings Overview
- MSc Sustainable Service Systems for Mega-Buildings
- MSc Sustainable Mega-Buildings Design