Dr Shuangyu Wei
(she/her)
BEng, PhD
Teams and roles for Shuangyu Wei
Lecturer in Sustainable Mega Building and PostDoc Research Associate
Overview
I received my Bachelor (Hons) degree in Architectural Environment Engineering in 2018 and my PhD in Building Technology in 2023, both from the University of Nottingham. I am currently a postdoctoral research associate in the Energy, Environment, and People (EEP) research group at the Welsh School of Architecture (WSA). I work on the AHRC-funded project, Community Open Map Platform (COMP) for Future Generations: Charting the Green Transition on the Isle of Anglesey, where I focus on environmental mapping, particularly air quality and thermal comfort.
My research is centered on vision-based intelligent building technologies and sustainability strategies that enhance energy efficiency, foster comfortable and healthy building environments, and support thriving communities while addressing climate change and achieving net-zero targets. 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)