Denis Fan is a Research Fellow at the IESD working on two EPSRC funded projects: one is the Measurement, Modelling, Mapping and Management (4M) project which aims to investigate urban carbon footprint, and the other one is the Complex Adaptive Systems, Cognitive Agents and Distributed Energy (CASCADE) project that applies complexity science to investigate the concept of smart grid. In these two projects, he is involved in modelling energy consumption for non-domestic buildings, and developing agent-based models to support the smart grid concept respectively.
Denis had been involved in other projects at the IESD in the past including: Foundation Heat Exchanger Model and Design Tool Development and Validation (FHX), funded by the Oak Ridge National Laboratory and US Department of Energy; Carbon Control and Comfort (CCC), funded by the EPSRC; and Quantifying Visual Discomfort in the Daylit Workplace using a High Dynamic Range (HDR) Imaging Approach (VisCom), also funded by the EPSRC.
Denis’ research interests include energy modelling in building and city scales, and numerical modelling of heat transfer. He is also interested in applying statistical models in built environment to reduce energy consumption while maintaining occupants’ comfort.
Denis has a Bachelor degree in Computer Engineering at Queen Mary, University of London and a PhD in Computer Science at the University of Warwick. His PhD research was focused on statistical image segmentation and analysis.
See also: Bayesian Inference of Vascular Structure from Retinal Images (PhD Thesis) |
Dr Denis Fan