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Projects

Personalising treatment in type 2 diabetes

Developing and testing a decision support tool for primary care to optimise the selection of glucose-lowering therapy for people with type 2 diabetes

Uncertainty quantification for black box models

Developing methods for the quantification of uncertainty in complex numerical models

Predictive graph analytics and propagation of information in networks

Leveraging graph optimisation tools to understand how news sentiment spreads in a financial network

Inside Stansted air traffic control tower

Decision-making under uncertainty in air traffic control

Investigating machine learning methods to support air traffic controllers

Data science tools for high-performance computing

Enabling the provision of popular data science packages within a managed, multi-user, academic high performance computing (HPC) environment

Scalable regression: Tools and techniques

Developing techniques for regression models to scale at large data volumes, incorporating regression model power into big data analytics engines

Blood related risk factors for cardiovascular disease

Improving understanding of genetic, blood related cardiovascular risk factors through algorithmic analysis

People wearing hardhats climbing a staircase

Detecting hazardous physical activity

Using human action detection to monitor safety in hazardous or physically demanding situations, such as escalator use and offshore wind turbine work

Programmes

Artificial intelligence (Robotics)

Addressing the unique challenges arising in the deployment of robotics and autonomous systems that aim to solve socially relevant problems across domains.

Publications and software

research_publications

Data Study Group Final Report: The National Archives, UK

Discovering topics and trends in the UK government web archive

Data Study Group team. (2021, June 18). Data Study Group Final Report: The National Archives, UK. Zenodo. https://doi.org/10.5281/zenodo.4981184

research_publications

Data Study Group Final Report: Telenor

Green Radio: Dynamic power saving configuration for mobile networks

Data Study Group team. (2020). Data Study Group Final Report: Telenor. http://doi.org/10.5281/zenodo.3786852

research_publications

Multispectral snapshot demosaicing via non-convex matrix completion

Snapshot mosaic multispectral imagery acquires an undersampled data cube by acquiring a single spectral...

Giancarlo A. Antonucci, Simon Vary, David Humphreys, Robert A. Lamb, Jonathan Piper, Jared Tanner, "Multispectral snapshot demosaicing via non-convex matrix completion", IEEE Data Science Workshop, Univ. of Minnesota, June 2019

research_publications

On the construction of sparse matrices from expander graphs

We revisit the asymptotic analysis of probabilistic construction of adjacency matrices of expander graphs...

Bubacarr Bah, and Jared Tanner, “On the construction of sparse matrices from expander graphs”, Frontiers in Applied Mathematics and Statistics (2018)

research_publications

Matrix rigidity and the ill-posedness of Robust PCA and matrix completion

Robust Principal Component Analysis (PCA) (Candes et al., 2011) and low-rank matrix completion (Recht...

Jared Tanner, Andrew Thompson, Simon Vary, “Matrix rigidity and the ill-posedness of Robust PCA and matrix completion”, SIAM Mathematics of Data Science, accepted

research_publications

Sparse Inverse Problems Over Measures: Equivalence of the Conditional Gradient and Exchange Methods

We study an optimization program over nonnegative Borel measures that encourages sparsity in its...

Eftekhari, Armin, and Andrew Thompson. "Sparse Inverse Problems over Measures: Equivalence of the Conditional Gradient and Exchange Methods." SIAM Journal on Optimization 29.2 (2019): 1329-1349.

research_publications