University of Edinburgh - Equipment Account

Lead Research Organisation: University of Edinburgh
Department Name: Unlisted

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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Antoniou A (2019) How to train your MAML

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Chitalu F (2020) Binary Ostensibly-Implicit Trees for Fast Collision Detection in Computer Graphics Forum

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Chitalu F (2020) Displacement-Correlated XFEM for Simulating Brittle Fracture in Computer Graphics Forum

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Choudhary TR (2019) High fidelity fibre-based physiological sensing deep in tissue. in Scientific reports

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Choudhury D (2017) Endoscopic sensing of alveolar pH. in Biomedical optics express

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Dananjaya M (2020) Lazy Release Persistency

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Edwards Harrison (2015) Censoring Representations with an Adversary in arXiv e-prints

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Fan W (2020) Capturing associations in graphs in Proceedings of the VLDB Endowment

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Fan W (2019) Dynamic scaling for parallel graph computations in Proceedings of the VLDB Endowment

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Feltrin L (2019) Narrowband IoT: A Survey on Downlink and Uplink Perspectives in IEEE Wireless Communications

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Foukas X (2016) FlexRAN

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Fowler S (2016) An Erlang Implementation of Multiparty Session Actors in Electronic Proceedings in Theoretical Computer Science

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Gavrielatos V (2020) Kite

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Gavrielatos V (2018) Scale-out ccNUMA

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Geras Krzysztof J. (2014) Scheduled denoising autoencoders in arXiv e-prints

 
Description Equipment account to support the EPSRC and MRC Centre for Doctoral Training in Optical Medical Imaging (OPTIMA):
The equipment provided to support OPTIMA has been invaluable in fostering interdisciplinary collaborations and bringing physical sciences together with biomedical applications.
The majority of the equipment bought with this grant has been sited at the Queen's Medical Research Institute and so has been invaluable in enabling precise fluorescence, Raman spectroscopy and other optical measurements to take place in the setting of biomedical research labs. This has facilitated interactions between the chemists, engineers and clinicians involved in OPTIMA research.

The research domains of the CDTs in Pervasive Parallelism and Data Science are both inherently quite broad (eg hence the "Pervasive" in the title), and each published paper makes it contribution in a more constrained sub-area. It is noteworthy that many of these have been made in top-tier publication venues, including HPCA, NIPS, ASPLOS, CGO and EUROSYS, in some instances winning best paper awards. These results relied upon the existence of the equipment provided by this grant.
Exploitation Route The CDTs are very diverse - component research projects may be taken forward by future destinations of our graduates, and by further projects sparked by interactions at our academic and industrial events.
Sectors Digital/Communication/Information Technologies (including Software),Electronics,Energy

URL http://web.inf.ed.ac.uk/infweb/student-services/cdt/ds
 
Description As in previous years, research findings presented in the many papers listed have all been delivered at international venues. Additionally, they have formed the basis of student presentations at a string of CDT industrial engagement events. These have sparked interactions which have led to numerous internships in industry. Within Informatics, these internships are a primary means of dissemination of research results beyond academia, both during the internship and often subsequently in the permanent employment which flows from them.