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
Shoemark P
(2018)
Inducing a Lexicon of Sociolinguistic Variables from code-mixed text
Ghashghaei O
(2018)
Multiple Multicomponent Reactions: Unexplored Substrates, Selective Processes, and Versatile Chemotypes in Biomedicine
in Chemistry - A European Journal
Fleming H
(2018)
Dual purpose fibre - SERS pH sensing and bacterial analysis.
in The Analyst
Mellanby R
(2018)
Tricarbocyanine N -triazoles: the scaffold-of-choice for long-term near-infrared imaging of immune cells in vivo
in Chemical Science
Shahneous Bari M
(2018)
Is Data Placement Optimization Still Relevant on Newer GPUs?
Yerolatsitis S
(2019)
Ultra-low background Raman sensing using a negative-curvature fibre and no distal optics.
in Journal of biophotonics
Fan W
(2019)
Dynamic scaling for parallel graph computations
in Proceedings of the VLDB Endowment
Subiros-Funosas R
(2019)
Fluorogenic Trp(redBODIPY) cyclopeptide targeting keratin 1 for imaging of aggressive carcinomas.
in Chemical science
Antoniou A
(2019)
How to train your MAML
Choudhary TR
(2019)
High fidelity fibre-based physiological sensing deep in tissue.
in Scientific reports
Sultana N
(2019)
Failure recovery for bulk synchronous applications with MPI stages
in Parallel Computing
Kristien M
(2019)
High-level synthesis of functional patterns with Lift
Margaritov A
(2019)
Virtual Address Translation via Learned Page Table Indexes
Laguna I
(2019)
A large-scale study of MPI usage in open-source HPC applications
Feltrin L
(2019)
Narrowband IoT: A Survey on Downlink and Uplink Perspectives
in IEEE Wireless Communications
Goens A
(2019)
A case study on machine learning for synthesizing benchmarks
Margaritov A
(2019)
Prefetched Address Translation
Rocha R
(2019)
Function Merging by Sequence Alignment
Crawford L
(2019)
Specialization Opportunities in Graphical Workloads
Kristien M
(2019)
Mitigating JIT compilation latency in virtual execution environments
Crowley E J
(2019)
Pruning neural networks: is it time to nip it in the bud?
Gong J
(2019)
Polymer Microarrays for the Discovery and Optimization of Robust Optical-Fiber-Based pH Sensors.
in ACS combinatorial science
Stoltzfus L
(2019)
Tiling Optimizations for Stencil Computations Using Rewrite Rules in L ift
in ACM Transactions on Architecture and Code Optimization
Chitalu F
(2020)
Binary Ostensibly-Implicit Trees for Fast Collision Detection
in Computer Graphics Forum
Ginsbach P
(2020)
Automatically harnessing sparse acceleration
Katsarakis A
(2020)
Hermes: A Fast, Fault-Tolerant and Linearizable Replication Protocol
Shahab A
(2020)
Population-based evolutionary distributed SGD
Dananjaya M
(2020)
Lazy Release Persistency
Kapara A
(2020)
Investigation of cellular uptake mechanism of functionalised gold nanoparticles into breast cancer using SERS.
in Chemical science
Long J
(2020)
Frugal filtering optical lenses for point-of-care diagnostics.
in Biomedical optics express
Rocha R
(2020)
Effective function merging in the SSA form
Fan W
(2020)
Capturing associations in graphs
in Proceedings of the VLDB Endowment
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). |