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
Barth N
(2021)
A Bivalent Activatable Fluorescent Probe for Screening and Intravital Imaging of Chemotherapy-Induced Cancer Cell Death
in Angewandte Chemie International Edition
Goens A
(2019)
A case study on machine learning for synthesizing benchmarks
Laguna I
(2019)
A large-scale study of MPI usage in open-source HPC applications
Fowler S
(2016)
An Erlang Implementation of Multiparty Session Actors
in Electronic Proceedings in Theoretical Computer Science
Damonte M
(2017)
An Incremental Parser for Abstract Meaning Representation
Fan W
(2020)
Application Driven Graph Partitioning
Ginsbach P
(2020)
Automatically harnessing sparse acceleration
Cummins C
(2016)
Autotuning OpenCL Workgroup Size for Stencil Patterns
Chitalu F
(2020)
Binary Ostensibly-Implicit Trees for Fast Collision Detection
in Computer Graphics Forum
Kumar R
(2018)
Blasting through the Front-End Bottleneck with Shotgun
Fan W
(2020)
Capturing associations in graphs
in Proceedings of the VLDB Endowment
Miller M
(2015)
Carpet unrolling for character control on uneven terrain
Karampatsis, R
(2015)
CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression
Edwards H
(2016)
Censoring Representations with an Adversary
Edwards Harrison
(2015)
Censoring Representations with an Adversary
in arXiv e-prints
Tammana P
(2015)
CherryPick
Harries A
(2016)
Compositional Compilation for Sparse, Irregular Data Parallelism
Brock A
(2016)
Context-Aware Content Generation for Virtual Environments
Mohamad F
(2017)
Controlled core-to-core photo-polymerisation - fabrication of an optical fibre-based pH sensor.
in The Analyst
Rathinakumar S
(2016)
CPRecycle
Eduardo S
(2016)
Data Cleaning using Probabilistic Models of Integrity Constraints
Kapara A
(2021)
Detection of Estrogen Receptor Alpha and Assessment of Fulvestrant Activity in MCF-7 Tumor Spheroids Using Microfluidics and SERS.
in Analytical chemistry
Chitalu F
(2020)
Displacement-Correlated XFEM for Simulating Brittle Fracture
in Computer Graphics Forum
Papamakarios G
(2015)
Distilling Intractable Generative Models
Fleming H
(2018)
Dual purpose fibre - SERS pH sensing and bacterial analysis.
in The Analyst
Fan W
(2019)
Dynamic scaling for parallel graph computations
in Proceedings of the VLDB Endowment
Rocha R
(2020)
Effective function merging in the SSA form
Cummins C
(2017)
End-to-End Deep Learning of Optimization Heuristics
Choudhury D
(2017)
Endoscopic sensing of alveolar pH.
in Biomedical optics express
Choudhury D
(2017)
Endoscopic sensing of pH in the distal lung (Conference Presentation)
Metzger P
(2020)
Enforcing Deadlines for Skeleton-based Parallel Programming
Sultana N
(2019)
Failure recovery for bulk synchronous applications with MPI stages
in Parallel Computing
Kristien M
(2020)
Fast and Correct Load-Link/Store-Conditional Instruction Handling in DBT Systems
in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Papamakarios G
(2016)
Fast e-free Inference of Simulation Models with Bayesian Conditional Density Estimation
Andrew Green
(2022)
Fibre optic probes for endoscopic measurement of uterine hypoxia
Foukas X
(2016)
FlexRAN
Subiros-Funosas R
(2019)
Fluorogenic Trp(redBODIPY) cyclopeptide targeting keratin 1 for imaging of aggressive carcinomas.
in Chemical science
Manilov S
(2015)
Free Rider
Long J
(2020)
Frugal filtering optical lenses for point-of-care diagnostics.
in Biomedical optics express
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). |