Digital twins for high-value engineering applications (DTHIVE) Developing digital twins for engineering applications using modelling, data, and connectivity
Quantitative Urban ANalyTics (QUANT) A land use transportation model simulating the location of employment, population and transport interactions
Real-time data assimilation for digital twins Developing methods to improve the use of real-time data in system representations
Causal inference for improved cybersecurity threat detection Understanding the causal links in the tactics and techniques of cyberattacks
Understanding Arctic sea ice loss Using machine learning techniques to understand the complex interactions between climate and Arctic sea ice
Streaming data modelling for real-time monitoring and forecasting Developing scalable algorithms for extracting useful information from large, complex and ever-growing data sets in near real time
Bringing the social city to the smart city Using AI and machine learning to understand and simulate cities
Performance tuning of systems Investigating how to automate performance tuning of systems, where parameter space is high-dimensional and complex
An MBO scheme for clustering and semi-supervised clustering of signed networks We introduce a principled method for the signed clustering problem, where the goal is... M. Cucuringu, A. Pizzoferrato, Y. van Gennip, An MBO scheme for clustering and semi-supervised clustering of signed networks, (arXiv) (2019)
Does Better Governance Guarantee Less Corruption? Evidence of Loss in Effectiveness of the Rule of Law Guerrero, Omar A and Castañeda Ramos, Gonzalo, Does Better Governance Guarantee Less Corruption? Evidence of Loss in Effectiveness of the Rule of Law (2019). Available: https://arxiv.org/abs/1902.00428
Reliability and reproducibility in computational science Friday 24 Jan 2020 Time: 09:30 - 17:00 Peter V. Coveney Dan Crommelin Onnie Luk Nick Malleson Anna Nikishova
Towards Autonomous Robotic Systems Conference (TAROS) Wednesday 03 Jul 2019 - Friday 05 Jul 2019 Time: 09:00 - 18:00
Urban analytics at the interface between environment, human health and behaviour Tuesday 02 Jul 2019 - Thursday 04 Jul 2019 Time: 09:00 - 18:00
Machine learning and dynamical systems How do we analyse dynamical systems on the basis of observed data, rather than attempt to study them analytically?
Rough paths: machine learning for sequential data How can rough path theory help us understand complex streams of data?