![Shuangyu Wei BEng, PhD](https://profiles-cardiff.imgix.net/attachments/5832?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
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 Leverhulme Trust-funded project, Schools as Living Labs, focusing on linking building performance studies with hands-on learning for children to shape their environment and coproduce strategies to improve it. Previously, I worked 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 raised 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, Journal of Building Engineering, Building and Environment, and Journal of Environmental Management.
Publication
2026
- Wei, S. et al. 2026. Personal air pollution exposure assessment with schoolchildren in rural Wales. Journal of Environmental Management 397 128291. (10.1016/j.jenvman.2025.128291)
2024
- Zhang, W. et al., 2024. Deep learning models for vision-based occupancy detection in high occupancy buildings. Journal of Building Engineering 98 111355. (10.1016/j.jobe.2024.111355)
- Wei, S. et al. 2024. DeepVision based detection for energy-efficiency and indoor air quality enhancement in highly polluted spaces. Journal of Building Engineering 84 108530. (10.1016/j.jobe.2024.108530)
- Wei, Z. et al., 2024. Real-time clothing insulation level classification based on model transfer learning and computer vision for PMV-based heating system optimization through piecewise linearization. Building and Environment 253 111277. (10.1016/j.buildenv.2024.111277)
2023
- Wang, Z. et al., 2023. An occupant-centric control strategy for indoor thermal comfort, air quality and energy management. Energy and Buildings 285 112899. (10.1016/j.enbuild.2023.112899)
2022
- Tien, P. W. et al., 2022. Enhancing the detection performance of a vision-based window opening detector. Cleaner Energy Systems 3 100038. (10.1016/j.cles.2022.100038)
- Pincott, J. et al., 2022. Indoor fire detection utilizing computer vision-based strategies. Journal of Building Engineering 61 105154. (10.1016/j.jobe.2022.105154)
- Tien, P. W. et al., 2022. Machine learning and deep learning methods for enhancing building energy efficiency and indoor environmental quality - a review. Energy and AI 10 100198. (10.1016/j.egyai.2022.100198)
- Wei, S. et al. 2022. Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV). Journal of Building Engineering 56 104715. (10.1016/j.jobe.2022.104715)
- Wang, Z. et al., 2022. Real-time building heat gains prediction and optimization of HVAC setpoint: an integrated framework. Journal of Building Engineering 49 104103. (10.1016/j.jobe.2022.104103)
- Wei, S. et al. 2022. A coupled deep learning-based internal heat gains detection and prediction method for energy-efficient office building operation. Journal of Building Engineering 47 103778. (10.1016/j.jobe.2021.103778)
- Tien, P. W. et al., 2022. Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand. Applied Energy 308 118336. (10.1016/j.apenergy.2021.118336)
2021
- Tien, P. W. et al., 2021. A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand. Renewable Energy 177 , pp.603-625. (10.1016/j.renene.2021.05.155)
- Wei, S. and Calautit, J. 2021. Development of deep learning-based equipment heat load detection for energy demand estimation and investigation of the impact of illumination. International Journal of Energy Research 45 (5), pp.7204-7221. (10.1002/er.6306)
2020
- Tien, P. W. , Wei, S. and Calautit, J. 2020. A computer vision-based occupancy and equipment usage detection approach for reducing building energy demand. Energies 14 (1) 156. (10.3390/en14010156)
- Calautit, J. K. et al., 2020. Development of a natural ventilation windcatcher with passive heat recovery wheel for mild-cold climates: CFD and experimental analysis. Renewable Energy 160 , pp.465-482. (10.1016/j.renene.2020.05.177)
- Tien, P. W. et al., 2020. A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions. Energy and Buildings 226 110386. (10.1016/j.enbuild.2020.110386)
- Wei, S. et al. 2020. Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method. Applied Energy 277 115506. (10.1016/j.apenergy.2020.115506)
- Shahzad, S. et al., 2020. Analysis of the thermal comfort and energy performance of a thermal chair for open plan office. Journal of Sustainable Development of Energy, Water and Environment Systems 8 (2), pp.373-395. (10.13044/j.sdewes.d7.0298)
Articles
- Wei, S. et al. 2026. Personal air pollution exposure assessment with schoolchildren in rural Wales. Journal of Environmental Management 397 128291. (10.1016/j.jenvman.2025.128291)
- Zhang, W. et al., 2024. Deep learning models for vision-based occupancy detection in high occupancy buildings. Journal of Building Engineering 98 111355. (10.1016/j.jobe.2024.111355)
- Wei, S. et al. 2024. DeepVision based detection for energy-efficiency and indoor air quality enhancement in highly polluted spaces. Journal of Building Engineering 84 108530. (10.1016/j.jobe.2024.108530)
- Wei, Z. et al., 2024. Real-time clothing insulation level classification based on model transfer learning and computer vision for PMV-based heating system optimization through piecewise linearization. Building and Environment 253 111277. (10.1016/j.buildenv.2024.111277)
- Wang, Z. et al., 2023. An occupant-centric control strategy for indoor thermal comfort, air quality and energy management. Energy and Buildings 285 112899. (10.1016/j.enbuild.2023.112899)
- Tien, P. W. et al., 2022. Enhancing the detection performance of a vision-based window opening detector. Cleaner Energy Systems 3 100038. (10.1016/j.cles.2022.100038)
- Pincott, J. et al., 2022. Indoor fire detection utilizing computer vision-based strategies. Journal of Building Engineering 61 105154. (10.1016/j.jobe.2022.105154)
- Tien, P. W. et al., 2022. Machine learning and deep learning methods for enhancing building energy efficiency and indoor environmental quality - a review. Energy and AI 10 100198. (10.1016/j.egyai.2022.100198)
- Wei, S. et al. 2022. Deep learning and computer vision based occupancy CO2 level prediction for demand-controlled ventilation (DCV). Journal of Building Engineering 56 104715. (10.1016/j.jobe.2022.104715)
- Wang, Z. et al., 2022. Real-time building heat gains prediction and optimization of HVAC setpoint: an integrated framework. Journal of Building Engineering 49 104103. (10.1016/j.jobe.2022.104103)
- Wei, S. et al. 2022. A coupled deep learning-based internal heat gains detection and prediction method for energy-efficient office building operation. Journal of Building Engineering 47 103778. (10.1016/j.jobe.2021.103778)
- Tien, P. W. et al., 2022. Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand. Applied Energy 308 118336. (10.1016/j.apenergy.2021.118336)
- Tien, P. W. et al., 2021. A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand. Renewable Energy 177 , pp.603-625. (10.1016/j.renene.2021.05.155)
- Wei, S. and Calautit, J. 2021. Development of deep learning-based equipment heat load detection for energy demand estimation and investigation of the impact of illumination. International Journal of Energy Research 45 (5), pp.7204-7221. (10.1002/er.6306)
- Tien, P. W. , Wei, S. and Calautit, J. 2020. A computer vision-based occupancy and equipment usage detection approach for reducing building energy demand. Energies 14 (1) 156. (10.3390/en14010156)
- Calautit, J. K. et al., 2020. Development of a natural ventilation windcatcher with passive heat recovery wheel for mild-cold climates: CFD and experimental analysis. Renewable Energy 160 , pp.465-482. (10.1016/j.renene.2020.05.177)
- Tien, P. W. et al., 2020. A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions. Energy and Buildings 226 110386. (10.1016/j.enbuild.2020.110386)
- Wei, S. et al. 2020. Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method. Applied Energy 277 115506. (10.1016/j.apenergy.2020.115506)
- Shahzad, S. et al., 2020. Analysis of the thermal comfort and energy performance of a thermal chair for open plan office. Journal of Sustainable Development of Energy, Water and Environment Systems 8 (2), pp.373-395. (10.13044/j.sdewes.d7.0298)
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