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Centre for Digital Built Britain

 
Read more at: Autonomous Navigation and the Built Environment Research Features in BBC’s ‘The Hidden Wilds of the Motorway’

Autonomous Navigation and the Built Environment Research Features in BBC’s ‘The Hidden Wilds of the Motorway’

22 July 2020

Autonomous navigation is a fiendishly complex challenge, but an innovative team, led by Dr. Amada Prorok, at Cambridge University’s Department of Computer Science and Technology, has made it their mission to find new ways of coordinating artificially intelligent agents, such as autonomous cars, to improve traffic flow...

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Zakaria Dakhli

Research background

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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.

CDBB projects involved with

Edwin works on the project “Digital transformation and transition towards a smart built environment” with Professor Michael Barrett at the Judge Business School.

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Dr Sabina Maslova

Research background

A human geographer by background, Dr Sabina Maslova's research interests include migrant housing, professional migration, housing decision-making, expatriates, residential mobility, and transnational work.

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Read more at: Vision Network

Vision Network

This research network contributes to developing the research agenda, enhancing the level of performance and digitisation for future smart cities and smart construction at citizen, portfolio, organisation and project levels. The objective of the Vision Network is to delineate the current augmented...

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Read more at: Future Cities in the making – overcoming barriers to information modelling in socially responsible cities

Future Cities in the making – overcoming barriers to information modelling in socially responsible cities

What questions are City Information Modelling (CIM) and Building Information Modelling (BIM) best suited to answer? This project examines what digital information is commonly available in UK cities and what new information can be retrieved from the built environment through BIM to aid planning. It...

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Read more at: Machine Learning and AI in the Built Environment

Machine Learning and AI in the Built Environment

This project improved the foundations for applying tried-and-tested machine learning (ML) approaches to the built environment. This mini project reduced the cost of creating and deploying ML systems by creating versatile and extendable Application programming interfaces (APIs), data management...

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Read more at: Pedagogy and Upskilling Network

Pedagogy and Upskilling Network

This research network aims to: establish the existing landscape; determine the current position and future vision in relation to other industry bodies that are fundamental in shaping the future of built environment education and training; establish the bottlenecks in the adoption and implementation...

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Read more at:  Designing Safe Complex Environments

Designing Safe Complex Environments

Using the principles of universal design, this project aims to create a VR environment that reduces usability issues such as balance in order to test virtual built environment designs with users who have a balance or sensory impairment.

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