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
Mallinson J
(2017)
Paraphrasing Revisited with Neural Machine Translation
Manilov S
(2015)
Free Rider
Margaritov A
(2019)
Prefetched Address Translation
Margaritov A
(2019)
Virtual Address Translation via Learned Page Table Indexes
Mellanby R
(2018)
Tricarbocyanine N -triazoles: the scaffold-of-choice for long-term near-infrared imaging of immune cells in vivo
in Chemical Science
Metzger P
(2020)
Enforcing Deadlines for Skeleton-based Parallel Programming
Miller M
(2015)
Carpet unrolling for character control on uneven terrain
Mohamad F
(2017)
Controlled core-to-core photo-polymerisation - fabrication of an optical fibre-based pH sensor.
in The Analyst
Nash C
(2016)
Generative models of part-structured 3D objects
Pablo Roldán-Varona
(2023)
Selective plane illumination optical endomicroscopy with polymer imaging fibers
in APL Photonics
Pablo Roldán-Varona
(2022)
Selective Plane Illumination Optical Endomicroscopy with Polymer Imaging Fibres
Papamakarios G
(2015)
Distilling Intractable Generative Models
Papamakarios G
(2016)
Fast e-free Inference of Simulation Models with Bayesian Conditional Density Estimation
Rathinakumar S
(2016)
CPRecycle
Rocha R
(2019)
Function Merging by Sequence Alignment
Rocha R
(2020)
Vectorization-aware loop unrolling with seed forwarding
Rocha R
(2020)
Effective function merging in the SSA form
| 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). |