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
Rocha R
(2019)
Function Merging by Sequence Alignment
Ruefenacht M
(2016)
Generalisation of Recursive Doubling for AllReduce
Brock Andrew
(2016)
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
in arXiv e-prints
Nash C
(2016)
Generative models of part-structured 3D objects
Katsarakis A
(2020)
Hermes: A Fast, Fault-Tolerant and Linearizable Replication Protocol
Choudhary TR
(2019)
High fidelity fibre-based physiological sensing deep in tissue.
in Scientific reports
Hagedorn B
(2018)
High performance stencil code generation with Lift
Kristien M
(2019)
High-level synthesis of functional patterns with Lift
Antoniou A
(2019)
How to train your MAML
Shoemark P
(2018)
Inducing a Lexicon of Sociolinguistic Variables from code-mixed text
Kapara A
(2020)
Investigation of cellular uptake mechanism of functionalised gold nanoparticles into breast cancer using SERS.
in Chemical science
Shahneous Bari M
(2018)
Is Data Placement Optimization Still Relevant on Newer GPUs?
Gavrielatos V
(2020)
Kite
Kölln LS
(2022)
Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy.
in Journal of cell science
Dananjaya M
(2020)
Lazy Release Persistency
Faldu P
(2016)
LLC Dead Block Prediction Considered Not Useful
Kristien M
(2019)
Mitigating JIT compilation latency in virtual execution environments
Collie B
(2020)
Modeling black-box components with probabilistic synthesis
Ghashghaei O
(2018)
Multiple Multicomponent Reactions: Unexplored Substrates, Selective Processes, and Versatile Chemotypes in Biomedicine
in Chemistry - A European Journal
Choudhary T
(2017)
Multiplexed fibre optic sensing in the distal lung (Conference Presentation)
Feltrin L
(2019)
Narrowband IoT: A Survey on Downlink and Uplink Perspectives
in IEEE Wireless Communications
Mallinson J
(2017)
Paraphrasing Revisited with Neural Machine Translation
L Stoltzfus
(2017)
Performance Portability for Room Acoustics Simulations
Ehrlich K
(2017)
pH sensing through a single optical fibre using SERS and CMOS SPAD line arrays.
in Optics express
Gong J
(2019)
Polymer Microarrays for the Discovery and Optimization of Robust Optical-Fiber-Based pH Sensors.
in ACS combinatorial science
Shahab A
(2020)
Population-based evolutionary distributed SGD
Margaritov A
(2019)
Prefetched Address Translation
Zarins J
(2017)
Progressive load balancing of asynchronous algorithms
Crowley E J
(2019)
Pruning neural networks: is it time to nip it in the bud?
De Moliner F
(2018)
Quinone-Derived p-Extended Phenazines as New Fluorogenic Probes for Live-Cell Imaging of Lipid Droplets.
in Frontiers in chemistry
Gavrielatos V
(2018)
Scale-out ccNUMA
Geras Krzysztof J.
(2014)
Scheduled denoising autoencoders
in arXiv e-prints
Brown C
(2021)
scRNA Transcription Profile of Adult Zebrafish Podocytes Using a Novel Reporter Strain.
in Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology
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
Mallinson J
(2018)
Sentence Compression for Arbitrary Languages via Multilingual Pivoting
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). |