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Centre for Digital Built Britain

 
Read more at: Digital Twin Journeys: Digital Twins ...from SPACE!
Sakthy with a corner reflector for making assets more reflective to satellites

Digital Twin Journeys: Digital Twins ...from SPACE!

22 March 2022

We all want the built environment to be safe and to last. However, minor movements over time from forces such as subsidence can impact how well our assets perform. It can also make connecting and modifying assets harder if they have shifted from the position in which they were built. If the assets are remote or hard to...


Read more at: We’re hack-ling climate change with data

We’re hack-ling climate change with data

9 February 2022

If you are concerned about climate change and passionate about the power of data to tackle the challenges we face then join us to explore how information interoperability can help to tackle the biggest challenges facing the plannet today - the climate emergency. The Centre for Digital Built Britain is a partner in the...


Read more at: Capturing changing activity in London as lockdown eases

Capturing changing activity in London as lockdown eases

3 July 2020

Cambridge researchers are part of a collaborative project tasked with developing models, infrastructure and machine learning algorithms for capturing mobility, transportation and traffic activity in London, as the COVID-19 pandemic lockdown eases. Project Odysseus , led by The Alan Turing Institute , aims to better...


Read more at: Dr Farhad Huseynov

Dr Farhad Huseynov

Research background


Read more at: Gabriel Martin Hernández

Gabriel Martin Hernández

Research background

PhD. Gabriel Martin was a Predoctoral Research Associate with the Hyperspectral Computing Laboratory Cáceres (Spain) and Postdoctoral Researcher in "Instituto de Telecomunicaçoes" Lisbon, Portugal. His research interests include remote sensing image processing, specifically the areas of hyperspectral unmixing and hyperspectral compressive sensing, as well as the efficient processing of remote sensing images in High Performance Computing architectures such as GPUs.


Read more at: Dr Rohit Verma

Dr Rohit Verma

Research background

My primary area of research has been in the field of sensor data collection and analysis obtained from multi-modal sources. In my CDBB project, I am working on developing an architecture for real-time analysis of the data being generated by sensors deployed on a citywide scale.

CDBB projects involved with

West Cambridge Digital Twin Research Facility


Read more at: Dr Matthew Danish

Dr Matthew Danish

Research background

Matthew Danish is a Research Associate within the Networks and Operating Systems group of the Systems Research Group in the Department of Computer Science and Technology. He is interested in systems verification, sensor networks, machine learning, infrastructure and the built environment.

CDBB projects involved with

West Cambridge Digital Twin


Read more at: Network for Ontologies (FOuNTAIN)

Network for Ontologies (FOuNTAIN)

This research network aims to take a user-centric approach to interacting with information, from search and retrieval to browsing and exploration, and to consider the following three dimensions: (1) the lifecycle of information, from its creation, delivery, capture, preservation, management...


Read more at: Visualising the Future: Big Data and the Built Environment

Visualising the Future: Big Data and the Built Environment

Building on four years of material generated by the Cambridge Forum for Sustainability and Environment, this report examines the future use of big data in the built environment. Experts from academia, government and private companies were invited to join monthly discussions in the Forum over four...


Read more at: Crowdsourcing Data in Mining Spatial Urban Activities

Crowdsourcing Data in Mining Spatial Urban Activities

This project aims to understand how check-in data from social media is distributed around Cambridge and what kinds of spatial segmentation can be identified. It validated the social media data on urban segregation using observation and questionnaires. We conducted pilots at Cambridge in the UK and...