Professor Simon Wilson

Title

Insight Centre for Data Analytics

Summary

This is a large SFI funded research centre in the area of data analytics. I lead one of the 5 research challenges in the Centre, focussing on scaleability. The Centre's funding was renewed for 6 years from July 2019. I co-lead one of the 6 research challenges, in scalability, that form the core of its research agenda.

Funding Agency

Science Foundation Ireland

Date From

01/07/2013

Date To

30/06/2025

Title

Reliability of Complex Telecommunications Networks

Summary

Telecommunications networks continue to experience exponential rates of growth in data transmission, and organisations and individuals are relying more and more on these networks to support critical activities. These trends drive the desire for highly reliable networks that suffer minimal service outages. The core research question that in this project is the reliability of a complex network where failure occurs through the dependence or interaction between its components: hardware, software and human. Statistical models for this process form the focus of the research. Recent developments in Bayesian network (BN) models, such as dynamic BNs and inference for BN structure, are going to be used to develop a unified modelling approach that can model relationships between hardware components, sub-system redundancy, the interaction with software bugs and the consequences of human error. Collaboration with Bell Labs in Dublin and New Jersey is providing data and feedback. The novelty in the research is (a) advances in statistical modelling methodology with BNs for these complex networks and (b) on the application side, better prediction of failures in complex networks and how they arise.

Funding Agency

IRCSET

Date From

01/10/2008

Date To

30/09/2011

Title

Statistical Methods in ICT Applications

Summary

Information and communications technology (ICT) continues to generate data that challenge the state-of-the-art in statistical methodology. These data form "complex data systems"; of large size and/or generated at a high rate, indexed in space and/or time, with complex dependencies between variables that must be accounted for in any meaningful analysis. Often, particularly where control and decision-making are needed, the analysis must be fast. This project aims to (a) advance the state of the art of statistical analysis for complex data systems in ICT applications (b) support on-going efforts to create a centre of expertise in this area with international recognition. The challenges provided by several concrete applications will motivate the work, including: reliability of telecoms networks, road traffic modelling and management and source separation for multi-channel images.

Funding Agency

SFI

Date From

01/01/2009

Date To

31/12/2012