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Personal Information
College Photo Name Wilson, Simon Paul
Main Department Statistics
College Title Professor
E-mail simon.wilson@tcd.ie
College Tel +353 1 896 1759
Web http://www.tcd.ie/Statistics/staff/simonwilson.shtml
Fax +353 1 677 0711
 
Biography
Simon Wilson is an associate professor in statistics at the Trinity College Dublin. He was awarded a PhD in stochastic modeling from the George Washington University, Washington, DC, in 1993. His research interests are in applications of Bayesian methods in reliability and other fields of science and engineering.
 
Representations
Details Date
REVIEWING (SINCE 2004)
Journal No. of papers reviewed
Biostatistics
Bone
Comput. Stat. Data Anal.
IEE Trans.
IEEE JSAC
IEEE Trans. Image Proc.
IEEE Trans. Reliab.
Image and Vision Computing
J. Risk and Reliability
J. Roy. Statist. Soc. B
J. Roy. Statist. Soc. C
Naval Research Logistics
Stat. and Comp.
Book proposal reviews
 
Membership of Professional Institutions, Associations, Societies
Details Date From Date To
Fellow of the Royal Statistical Society 1993 present
Member of Sigma Xi Scientific Research Society 1994 present
Elected member, International Statistical Institute 2006 present
Member of the International Society of Bayesian Analysis 2001 present
 
Awards and Honours
Award Date
Fellow of Trinity College Dublin 2002
 
Languages
Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
Spanish Fluent Fluent Fluent
 
Description of Research Interests
Bayesian statistics, reliability theory, software reliability, image processing, multimedia database retrieval, Markov chain Monte Carlo simulation methods
 
Research Interests
ACCELERATED TEST ANALYSIS OF VARIANCE BAYES INFERENCE BAYESIAN ANALYSIS
BAYESIAN COMPUTATION BAYESIAN INFERENCE BAYESIAN STATISTICS Biodiversity
Biomathematics, Biometrics Computer Simulation/Modeling Computer Storage & Retrieval Data Analysis
Databases, database management, data mining Fatigue/Fracture High Performance Computing High performance computing
IMAGE ANALYSIS IMAGE PROCESSING IMAGE PROCESSING COMPUTER ASSISTED IMAGE SEGMENTATION
Image Processing Imaging and Computer Vision MARKOV CHAIN MONTE CARLO MARKOV RANDOM FIELD
MATHEMATICAL COMPUTING MATHEMATICAL MODEL MATHEMATICAL MODELING MATHEMATICAL MODELLING
MATHEMATICAL SIMULATION MONTE-CARLO ALGORITHM MONTE-CARLO ALGORITHMS MONTE-CARLO PROGRAM
MONTE-CARLO SIMULATION MONTE-CARLO SIMULATIONS Machine Learning in Mulitmedia Information Retrieval Multimedia
Parallel Programming Parallel Systems Probability RELIABILITY
RELIABILITY THEORY Reliability (Engineering) SOFTWARE SOFTWARE DEBUGGING
SOFTWARE RELIABILITY SOFTWARE TESTING Software Engineering Statistics
WARRANTIES WARRANTY RESERVE
 
Research Projects
Project title Insight Centre for Data Analytics
Summary This is a large SFI funded research centre in the area of data analytics. I am part of the Bayesian learning workpackage. Interest focuses on how to scale Bayesian analysis methods to large and/or fast streaming and complex data.
Funding Agency Science Foundation Ireland
Programme Research Centres
Type of Project
Date from 01/07/2013
Date to 30/06/2019
Person Months


Project 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
Programme Principal Investigator
Type of Project
Date from 01/01/2009
Date to 31/12/2012
Person Months


Project 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
Programme Postgraduate Fellowship
Type of Project
Date from 01/10/2008
Date to 30/09/2011
Person Months


 
Publications and Other Research Outputs
Peer Reviewed
Yoon JW, Wilson SP, Mok KH, A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra, Journal of Machine Learning Research, Workshop & Conference Proceedings, 13th International Conference on Artificial Intelligence and Statistics (AISTATS), Chia Laguna Resort, Sardinia, Italy, 13-15 May 2010, edited by Yee Whye Teh, Mike Titterington , 9, 2010, pp940 - 947
TARA - Full Text  URL
Bahman Honari, John Donovan, Toby Joyce, Simon Wilson, Eamonn Murphy , Stress test optimisation using an integrated production test and reliability field model, Quality and Reliability Engineering International, 26, (6), 2010, p579-592
DOI
Ben Flood, Brett Houlding, Simon P. Wilson, Sergiy Vilkomir., A probability model of system downtime with implications for optimal warranty design , Quality and Reliability Engineering International, 26, (1), 2009, 83 - 96
TARA - Full Text  DOI
S.Wilson, T. Joyce and E. Lisay, Reliability prediction from field return data , Lifetime Data Analysis, 15, (3), 2009, p397-410
DOI
Toby Joyce, Bahan Honari, Simon Wilson, John Donovan and Oonagh Gaffney, Models for optimization of production environmental stress testing on electronic circuit packs, International Journal of Reliability, Quality and Safety Engineering, 15, (6), 2008, 555-579
DOI
More Publications and Other Research Outputs >>>
 

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Last Updated:19-SEP-2014