Skip to main content

Trinity College Dublin, The University of Dublin

Menu Search


Trinity College Dublin By using this website you consent to the use of cookies in accordance with the Trinity cookie policy. For more information on cookies see our cookie policy.

      
Profile Photo

Professor Simon Wilson

Professor of (Statistics)
LLOYD INSTITUTE
      
Profile Photo

Professor Simon Wilson

Professor of (Statistics)
LLOYD INSTITUTE

 Simon.Wilson@tcd.ie

 3531896 1759


Simon Wilson is the Chair of Statistical Uncertainty and Risk at 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, notably ecology and astronomy.
  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   IMAGE ANALYSIS   Image Processing   IMAGE PROCESSING COMPUTER ASSISTED   IMAGE SEGMENTATION   Imaging and Computer Vision   Machine Learning in Mulitmedia Information Retrieval   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   Multimedia   Parallel Programming   Parallel Systems   Probability   RELIABILITY   Reliability (Engineering)   RELIABILITY THEORY   SOFTWARE   SOFTWARE DEBUGGING   Software Engineering   SOFTWARE RELIABILITY   SOFTWARE TESTING   Statistics   WARRANTIES   WARRANTY RESERVE
Project Title
 Insight Centre for Data Analytics
From
01/07/2013
To
30/06/2025
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
Programme
Research Centres
Project Title
 Statistical Methods in ICT Applications
From
01/01/2009
To
31/12/2012
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
Project Title
 Reliability of Complex Telecommunications Networks
From
01/10/2008
To
30/09/2011
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

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
External examiner to NUIG Statistics Discipline 2017 - 2020
President-elect of the Irish Statistical Association 2020 - 2021
Chair of the Industrial Statistics section of the International Society for Bayesian Analysis 2019 - 2020
Member of the external review panel for undergraduate teaching in Maths, Statistics and Physics at the University of Newcastle September 2021
External examiner to UCD Statistics programmes. 2013 - 2015
Advisor on postgraduate teaching and research programmes, John von Neumann Institute, Vietnam 2018
Member of the review panel for the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR), a consortium of 8 universities in Northern England May 2020
External PhD examiner on 14 PhD theses in Ireland and overseas, including Univ. Cambridge (twice), Brisbane, Nice, Durham. 1995 - present
Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
Spanish Fluent Medium Fluent
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
Pham, D., Soodhalter, K. and Wilson S.P., Fast solution of Sylvester-structured systems for spatial source separation of the Cosmic Microwave Background, Numerical Linear Algebra with Applications, 2024, Notes: [Paper e2507], Journal Article, PUBLISHED  DOI
O'Brien, E.J. and Wilson, S. and Keenahan, J. and Ren, Y., A Bayesian Approach to the Estimation of Road Profile and Bridge Damage from a Fleet Passing Vehicle Measurements, International Journal of Structural Stability and Dynamics, 24, (4), 2024, Notes: [cited By 4], Journal Article, PUBLISHED  DOI
Wilson, S., Discussion of specifying prior distributions in reliability applications, Applied Stochastic Models in Business and Industry, 40, (1), 2024, p103 , Notes: [cited By 0], Journal Article, PUBLISHED  DOI
Cunningham, J.A. and Padamsee, M. and Wilson, S. and Costello, M.J., Fungi species description rates confirm high global diversity and suggest half remain unnamed, Frontiers of Biogeography, 16, (2), 2024, Notes: [cited By 0], Journal Article, PUBLISHED  DOI
Hartebrodt, L. and Wilson, S. and Costello, M.J., Progress in the discovery of isopods (Crustacea: Peracarida)â€"is the description rate slowing down?, PeerJ, 9, (e15984), 2023, Notes: [cited By 1], Journal Article, PUBLISHED  DOI
Siallagan, Z.L. and Sidabalok, C.M. and Islami, M.M. and Mujiono, N. and Wilson, S.P. and Pamungkas, J., Why many Indonesian marine species remain undescribed: a case study using polychaete species discovery, Raffles Bulletin of Zoology, 71, 2023, p337-365 , Notes: [cited By 0], Journal Article, PUBLISHED  DOI
Wilson, S. and DE PERSIS, C. and Bosque, J.L. and Garcia, I.H., QUANTITATIVE SYSTEM RISK ASSESSMENT FROM INCOMPLETE DATA, 2021, pp1998 , Notes: [cited By 0], Conference Paper, PUBLISHED  DOI
Chaitanya Joshi, Fabrizio Ruggeri and Simon Wilson, Bayesian implementation of the fault tree analysis, Wiley StatsRef: Statistics Reference Online, 2021, Journal Article, PUBLISHED
Markus Rao, Rachel Mandelbaum, S. Schmidt and Y. Mao, A composite likelihood approach for inference under photometric redshift uncertainty , Monthly Notices of the Royal Astronomical Society, 2021, Journal Article, PUBLISHED
Antonio Pievatolo, Fabrizio Ruggeri, Refik Soyer and Simon Wilson, Decisions in risk and reliability: an explanatory perspective , Stats, 4, (2), 2021, p228 - 250, Journal Article, PUBLISHED
  

Page 1 of 12
Simon Wilson and Cristina De Persis, Pairwise comparison elicitation for probabilistic fault tree analysis, UK Reliability Meeting, Durham University, 1 - 3 April 2019, 2019, Department of Mathematical Sciences, University of Durham, Invited Talk, PUBLISHED
Simon Wilson, Photo-z estimation: a review, CMU Seminar Series, Department of Statistics and Data Science, Carnegie Mellon University, 10th November 2017, 2017, Invited Talk, PUBLISHED
Introduction to Bayesian methods and decision theory in, editor(s)P. Cunningham and M. Cord , Machine Learning for Multimedia Data, Berlin, Springer-Verlag, 2008, pp3 - 20, [Simon Wilson, Rozenn Dahyot and Padraig Cunningham], Book Chapter, PUBLISHED
Mental image search in image databases in, editor(s)P. Cunningham and M. Cord , Machine Learning for Multimedia Data, Berlin, Springer, 2008, pp189 - 204, [Simon Wilson, Julien Fauquer and Nozha Boujemma], Book Chapter, PUBLISHED
S.P. Wilson, B. Flood and S. Vilkomir, Probability modelling and decision analysis for software recovery , Mathematical Methods in Reliability, Glasgow, UK., 2007, Conference Paper, PRESENTED
S.P. Wilson & S. Goyal, Bayesian estimation for an imperfect test and repair model, European Test Symposium, Freiburg, Germany, 2007, Poster, PRESENTED
S.P. Wilson and Georgios Stefanou, Improving CBIR by modelling the search process: a Bayesian approach, Proceedings of the European Signal Processing Conference, European Signal Processing Conference, Firenze, Italy, 2006, pp1-4 , Conference Paper, PRESENTED
S.P. Wilson & K. McDaid, A split Poisson process model for the occurrence of defects and change requests during user acceptance testing, Department of Statistics,, Trinity College Dublin., 2005, Notes: [Technical Report 05/06], Report, PUBLISHED
S.P. Wilson & G. Stefanou, Decision-theoretic approaches to display strategies in content based image retrieval , MOUMIR Deliverable D5.3: Final Research Report Contribution, March, 2004, Notes: [I. Jermyn (Editor)], Report, PUBLISHED
S.P. Wilson & M.P. Wiper, Comprobacion de software. Un analisis Bayesiano , Congreso Nacional de Estadistica e Investigacion Operativa, Lleida, Spain, edited by 27 April , 2003, Conference Paper, PUBLISHED

  


Page 1 of 3
Award Date
Fellow of Trinity College Dublin 2002
Visiting scholar, Department of Statistics and Data Science, Carnegie Mellon University 2017 - 2018