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
Geras K
(2014)
Scheduled denoising autoencoders
Noh S
(2015)
Free Rider
Miller M
(2015)
Carpet unrolling for character control on uneven terrain
Rexford J
(2015)
CherryPick
Edwards H
(2015)
Censoring Representations with an Adversary
Papamakarios G
(2015)
Distilling Intractable Generative Models
Karampatsis, R
(2015)
CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression
Fowler S
(2016)
An Erlang Implementation of Multiparty Session Actors
in Electronic Proceedings in Theoretical Computer Science
Cummins C
(2016)
Autotuning OpenCL Workgroup Size for Stencil Patterns
Edwards H
(2016)
Censoring Representations with an Adversary
Harries A
(2016)
Compositional Compilation for Sparse, Irregular Data Parallelism
Eduardo S
(2016)
Data Cleaning using Probabilistic Models of Integrity Constraints
Tammana P
(2016)
Simplifying Datacenter Network Debugging with PathDump
Ruefenacht M
(2016)
Generalisation of Recursive Doubling for AllReduce
Faldu P
(2016)
LLC Dead Block Prediction Considered Not Useful
Nash C
(2016)
Generative models of part-structured 3D objects
Rathinakumar S
(2016)
CPRecycle
Cummins C
(2016)
Towards Collaborative Performance Tuning of Algorithmic Skeletons
Brock A
(2016)
Context-Aware Content Generation for Virtual Environments
Papamakarios G
(2016)
Fast e-free Inference of Simulation Models with Bayesian Conditional Density Estimation
Markopoulou A
(2016)
FlexRAN
Mohamad F
(2017)
Controlled core-to-core photo-polymerisation - fabrication of an optical fibre-based pH sensor.
in The Analyst
Damonte M
(2017)
An Incremental Parser for Abstract Meaning Representation
Cummins C
(2017)
Synthesizing benchmarks for predictive modeling
Mallinson J
(2017)
Paraphrasing Revisited with Neural Machine Translation
L Stoltzfus
(2017)
Performance Portability for Room Acoustics Simulations
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
Cummins C
(2017)
Synthesizing benchmarks for predictive modeling
Choudhary T
(2017)
Multiplexed fibre optic sensing in the distal lung (Conference Presentation)
Zarins J
(2017)
Progressive load balancing of asynchronous algorithms
Choudhury D
(2017)
Endoscopic sensing of alveolar pH.
in Biomedical optics express
Cummins C
(2017)
End-to-End Deep Learning of Optimization Heuristics
Choudhury D
(2017)
Endoscopic sensing of pH in the distal lung (Conference Presentation)
Ehrlich K
(2017)
pH sensing through a single optical fibre using SERS and CMOS SPAD line arrays.
in Optics express
Gavrielatos V
(2018)
Scale-out ccNUMA
Kumar R
(2018)
Blasting through the Front-End Bottleneck with Shotgun
De Moliner F
(2018)
Quinone-Derived p-Extended Phenazines as New Fluorogenic Probes for Live-Cell Imaging of Lipid Droplets.
in Frontiers in chemistry
Knoop J
(2018)
High performance stencil code generation with Lift
Singh R
(2018)
Techniques for Interference Mitigation Using Cooperative Resource Partitioning in Multitier LTE HetNets
in IEEE Systems Journal
Mellanby RJ
(2018)
Tricarbocyanine N-triazoles: the scaffold-of-choice for long-term near-infrared imaging of immune cells in vivo.
in Chemical science
Ghashghaei O
(2018)
Multiple Multicomponent Reactions: Unexplored Substrates, Selective Processes, and Versatile Chemotypes in Biomedicine.
in Chemistry (Weinheim an der Bergstrasse, Germany)
| 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). |