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Centre for Digital Built Britain

 

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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Darya Bahram

Research background

Darya Bahram is a chartered architect (RIBA), project manager (MAPM) and member of the Chartered Institute of Arbitrators (MCIArb) and has been working as  Research Associate at the Centre of Construction Law & Dispute Resolution, Kings College London for well over 5 years, since the completion the Centre’s MSC in Construction Law & Dispute Resolution.

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Nicola Moretti

Research background

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Zakaria Dakhli

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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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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Read more at: Feasibility of an Operating System for Interspatial Networking in a Built Environment

Feasibility of an Operating System for Interspatial Networking in a Built Environment

Osmose is a project aimed at building a new operating system for situated environments that can handle the demands of thousands of sensors and actuators that need to run in a coordinated and highly reliable fashion.

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Read more at: From Norm to Swarm: development of a balanced scorecard for evaluating automation in construction

From Norm to Swarm: development of a balanced scorecard for evaluating automation in construction

This project aims to develop a Balanced Score Card (BSC) to support the adoption of automation in construction. It will do this by delivering a set of indicators that ensure the sustainable development of these innovative processes and technologies in the UK construction industry and highlighting...

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Read more at: Analysing Systems Interdependencies using a Digital Twin

Analysing Systems Interdependencies using a Digital Twin

This project investigates how to understand infrastructure complexity, using the digital twin. This work provides a first step toward next-generation systems engineering by demonstrating the feasibility of using a digital twin to generate new insight on systems relationships and interdependencies. ...

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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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