Miss Yulan Sheng
- Position: Research Fellow in Urban Heat Systems
- Areas of expertise: Urban energy systems; building energy efficiency; GIS; urban analytics; machine learning and AI
- Email: Y.Sheng1@leeds.ac.uk
- Website: LinkedIn
Profile
I am a Research Fellow in the School of Chemical and Process Engineering at the University of Leeds. Prior to my current position, I completed my PhD at the University of Sheffield, under the supervision of Professor Martin Mayfield. My thesis focuses on the application of a multimodal and transfer learning approach for residential building energy prediction. Currently, I am working on an interdisciplinary project focusing on transforming the urban energy system for a decarbonised future. In particular, I aim to explore the complex interactions between different stakeholders through participatory workshops and to analyse and visualise geographical, socio-demographic, and governmental data using GIS and Agent-based modelling.
Research interests
- Heat decarbonisation
- Energy efficiency and demand
- Spatial analysis and visualisations
- Machine learning and AI
Qualifications
- PhD, Application of multimodal and transfer learning in energy prediction, University of Sheffield
- Msc, Applied GIS, University of Sheffield
- BA, Urban Studies and Planning, University of Sheffield