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.
Organisations
Publications
Fan W
(2020)
Capturing associations in graphs
in Proceedings of the VLDB Endowment
Fan W
(2019)
Dynamic scaling for parallel graph computations
in Proceedings of the VLDB Endowment
Sultana N
(2019)
Failure recovery for bulk synchronous applications with MPI stages
in Parallel Computing
Kamaljith V
(2020)
Ultrafast-laser-ablation-assisted spatially selective attachment of fluorescent sensors onto optical fibers.
in Optics letters
Ehrlich K
(2017)
pH sensing through a single optical fibre using SERS and CMOS SPAD line arrays.
in Optics express
Kufcsák A
(2017)
Time-resolved spectroscopy at 19,000 lines per second using a CMOS SPAD line array enables advanced biophotonics applications.
in Optics express
Kölln LS
(2022)
Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy.
in Journal of cell science
Yerolatsitis S
(2019)
Ultra-low background Raman sensing using a negative-curvature fibre and no distal optics.
in Journal of biophotonics
Feltrin L
(2019)
Narrowband IoT: A Survey on Downlink and Uplink Perspectives
in IEEE Wireless Communications
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. In the EPSRC and MRC CDT in Optical Medical Imaging, access to equipment has driven new collaborations between physical sciences and biomedical sciences (>40 new collaborations). |