Cambridge living laboratory research facility

screenshot_2020-08-14_at_16.41.50.png Abstract A digital twin (DT) refers to a digital replica of physical assets, processes, and systems. DTs integrate artificial intelligence, machine learning, and data analytics to create living digital simulation models that are able to learn and update from multiple sources as well as...

screenshot_2020-08-18_at_15.48.55.png Abstract When looking at in-building or urban settings, information about the number of people present and the way they move through the space is useful for helping designers to understand what they have created, fire marshals to identify potential safety hazards, planners to speculate...

screenshot_2020-08-18_at_15.18.54.png Abstract Edge computing and Federated Learning (FL) can work in tandem to address issues related to privacy and collaborative distributed learning in untrusted IoT environments. However, deployment of FL in resource-constrained IoT devices faces challenges including asynchronous...

screenshot_2020-08-14_at_16.01.11.png Research background Abstract: With the rising adoption of building information modelling (BIM) for asset management within the architecture, engineering and construction sectors, BIM-enabled asset management during the operation and maintenance phase has been increasingly attracting...

screenshot_2020-08-14_at_16.26.55.png Abstract Over the past few years, deep learning (DL) based electricity demand forecasting has received considerable attention amongst mathematicians, engineers and data scientists working within the smart grid domain. To this end, deep learning architectures such as deep neural...