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Centre for Digital Built Britain

 
Read more at: Blog: An openBIM Approach to IoT Integration with Incomplete As-Built Data

Blog: An openBIM Approach to IoT Integration with Incomplete As-Built Data

15 December 2020

A paper by Dr Nicola Moretti , Dr Xiang Xie , Dr Jorge Merino , Justas Brazauskas and Dr Ajith Parlikad - An openBIM Approach to IoT Integration with Incomplete As-Built Data has been published in a special issue of MDPI’s Applied Sciences Journal focused on Cognitive Buildings. Lead author Dr Nicola Moretti provides a...

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Read more at: Blog: Four Futures, One Choice

Blog: Four Futures, One Choice

11 December 2020

While many worried that automation would lead to unprecedented levels of unemployment, the b uilt e nvironment in 2040 is powered both by a growing skilled workforce and supported by automation. More people than ever are now in employment, a change that happened rapidly in response to the Green New Deal and other post-...

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Read more at: Publication: Four Futures One Choice

Publication: Four Futures One Choice

11 December 2020

fourfutures_onechoice_2020._png.png Four Futures, One Choice uses a futures thinking methodology to explore four scenarios for the digital built environment in the year 2040, hinging on the age demographics in the UK and the achievement of the Sustainable Development Goals. It demonstrates that a complex web of factors...

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Read more at: Book: Four Futures - One Choice

Book: Four Futures - One Choice

4 November 2020

screenshot_2020-12-11_at_11.11.09.png Four Futures, One Choice provokes us with a future lens enabling us to view, with clarity and detail, four scenarios of what Britain could look like in 2040, depending upon the decisions that are made now, in these unprecedented times of opportunity. It presents us with four compelling...

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Dr Miguel Angel Bravo-Haro

Research background

I completed my Ph.D. in Earthquake Engineering in 2018 at Imperial College London. I have experience in computational methods for the characterisation of nonlinear structural behaviour and structural dynamics. Additionally, I have worked on probabilistic methods, data-visualisation, software development, information theory, cloud computing, and hardware development for structural health monitoring.

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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.

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Nicola Moretti

Research background

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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

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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

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Edwin Lee

Research background

Edwin is a Research Associate in Digital Innovation and Policy within CDBB and the Cambridge University Judge Business School. His Ph.D. (in Management) from Cass Business School focuses on continuous and cross-disciplinary, and he also holds an M.Phil. and B.A. from the University of Cambridge.

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