Fionn Murtagh

BA, BAI, MSc, PhD, Habil
FBCS, CITP, FRSA, FIAPR, MRIA, MAE, MISI, FIMA, FRSS, SM IEEE, SF HEA

*** Professor of Data Science, and Director, Centre for Mathematics and Data Science, University of Huddersfield. ***
Institute of Mathematics and Data Science, University of Huddersfield.
Former Professor of Data Science, Big Data Lab, Department of Computing and Mathematics, University of Derby
Visiting Professor of Data Science, Department of Computing, Goldsmiths University of London
Advisor, Thinking Safe Limited; founder and Director, Multi Resolutions Ltd.
Fellow, Computer Learning Research Centre; Visiting Professor of Computer Science, former Head of Department, Royal Holloway, University of London
Honorary Professor, former Head of School, School of Computer Science and Informatics, De Montfort University

• Date of birth: Year of the Horse (7th in the 12-year Chinese calendar).
  
• Summary of impact and achievements: approximately 30 books authored, 160 journal publications and more than 160 other articles published; approximately £60 million awarded in research funding; reviewing and evaluation of journal submissions, conference submissions, research funding proposals, PhD theses: approximately 1500 per annum.
• Fionn is ICHEC's primary supercomputer and Ireland's national supercomputer for academic researchers. - My goodness, "Scheduling Policy, The following queues are available on Fionn:", and "Fionn was purchased from SGI after a competitive dialogue process." Wow!
  
• FinnPlus, "With FinnPlus, FinnComfort enriches extra-wide feet that require more volume." - lovely!

Contact: fmurtagh at acm dot org

• Member of Language and the Mind Research Network.
• Member of Open Data Institute.
• Member of Computability in Europe Association. (List of members, 1340 members and their affiliations.)
• Member of IAA, The International Astrostatics Association, devoted to astrostatistics and astroinformatics.
• Medal awarded, Outstanding Contributions to Astrostatistics Award 2016 IAA Awards, International Astrostatistics Association. Commendation: For his long time contributions to astroinformatics and related areas in the computational sciences; advancing scientific knowledge in classification theory and image analysis; for his contributions to the success of the Hubble Space Telescope; for his role on the organizing committee of the IAU Commission B3 on Astroinformatics & Astrostatistics; and for his long time efforts in dealing with the statistical analysis of "Big Data".

• Conference programme committee memberships, invited and keynote presentations 2015, 2016, 2017, 2018, 2019. Short courses presented are noted.

• Publications
  • List of publications.
    
  • (Older material.) Copies of recent papers and patents (currently 28 listed) citing this work
    
  • Online copies of some of the books with images below.
    Sparse Image and Signal Processing, CUP 2010, 2015 editions, on the left: accompanying code in Matlab and IDL.
    Correspondence Analysis, Chapman and Hall, 2004, accompanying data and software in R, Java.
  • Recent publications, books written and edited, articles in journals, in conference proceedings.

• Guest editor:
  • Image and Vision Computing, Special Issue, Advances in Representation and Learning for Big Multimedia Analytics. Manuscript submission: 1 February 2018. Guest editors: Professor Weifeng Liu, China University of Petroleum (East China); Professor Jun Yu, Hangzhou Dianzi University, China; Professor Fionn Murtagh.
  • Journal of Imaging, Special Issue Big Visual Data Processing and Analytics". Manuscript submission: 30 April 2017. Guest editors: Prof. Xinmei Tian, Prof. Fionn Murtagh, Prof. Dacheng Tao.
  • Guest editor, Special Issue of Signal Processing. Topic: Data Mining in Human Activity Analysis (DMHAA). Manuscript submission: 1 March 2017. Guest editors: Prof. Xinmei Tian, Dr Weifeng Liu, Prof Fionn Murtagh, Dr Yijuan Lu.
• Data Science, Data Analytics, Big Data - The New Data Science from the Geometry and Topology of Data and Information
  • Digital Content Analytics.
  • Computational Science, including innovative models and paradigms from digital humanities and quantitative social sciences.
  • High Performance Search and Discovery, linear and constant computational time algorithms.
  • Massive data sets in very high dimensional spaces.
  • Geometry and topology of information and data.
• Narrativization.
• Multivariate Data Analysis Software.
• Multiresolution Analysis, Multiscale Morphological Modelling, Compressive Sampling.

Events and Some Photos and Videos

• 4th International Winter School on Big Data, Timisoara, Romania, January 22-26, 2018. My course: "The New Science of Big Data Analytics, Based on the Geometry and the Topology of Complex, Hierarchic Systems". Course details here.
• Workshop 2, Survey Analytics from Questionnaires and Textual Social Media Analytics. With Accompanying Practical Sessions, examples and case studies in English and other languages. At IFCS, International Federation of Classification Societies Conference 2017, Tokyo, Japan, 7 August 2017.
• Short Course Programme, Survey Analytics from Questionnaires and Textual Social Media Analytics. At 61st World Statistics Congress, Marrakech, Morocco, 15 July 2017.
• Summer school workshop presentation: The Baire Metric and Ultrametric for Linear Computational Time Hierarchical Clustering: Applications and Implementations. Workshop 2: Sequential Learning and Applications, 9-10 November 2015 Organised by CIMI, Centre International de Mathématiques et Informatique de Toulouse, Excellence project selected by the ANR for the period 2012-2020. Including Institut de Mathématiques de Toulouse (IMT) and the Institut de Recherche en Informatique de Toulouse (IRIT).
• Summer School Course, Towards the New Science of Big Data Analytics, Based on the Geometry and the Topology of Complex, Hierarchic Systems, 16-20 August 2015, ESSCaSS 2015, 14th Estonian Summer School on Computer and Systems Science, Nelijärve Puhkekeskus, Estonia.
• Tutorial, The New Science of Big Data Analytics, Based on the Geometry and the Topology of Complex Systems, 5 July 2015, at the Conference of the International Federation of Classification Societies, 6-8 July, 2015, Bologna, Italy.
• Special Topic Session organisation, The New Data Science: Statistical Analysis of Massive, High-Dimensional Systems (STS019), at the 60th World Statistics Conference, ISI (International Statistical Institute) 2015, Rio de Janeiro, Brazil.
• Special Session organisation, Computational Psychoanalysis, at ICCI*CC 2014, 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 18-20 August 2014, London South Bank University.
• Minicourse, Towards a New Science of Big Data Analytics, Based on the Geometry and the Topology of Complex, Hierarchic Systems, at the The First International Conference on Models of Complex Hierarchic Systems and Non Archimedean Analysis, Cinvestav, Abacus Center, Mexico, 29 April to 3 May 2013.
• Photos and videos - seminars, prize-giving, awards, and various events.

Scholarship

• Member of the Royal Irish Academy, MRIA; Member, Academia Europaea, MAE. Member (from Nov. 2017), European Academy of Sciences.
• Senior Fellow, Higher Education Academy, SF HEA.
• Fellow of the International Association for Pattern Recognition, FIAPR.
• Fellow, Institute of Mathematics and Its Aplications, FIMA. Fellow, Royal Statistical Society, FRSS. Member, London Mathematical Society.
• Fellow of the British Computer Society, Chartered IT Professional, FBCS, CITP. Mitglied, Gesellschaft für Informatik; ACM, IEEE. Engineers Ireland, Cathaoirleach, An Roth.

• Editor-in-Chief of The Computer Journal, 2000-2007, 2012-2015. Editor, Section C, Computational Intelligence, Machine Learning and Data Analytics.
• Classification Society's 50th Anniversary 2014: President, 2007-2010, British Classification Society. President 2008-2009, Classification Society (North America)
  
• Chair, Board of Directors, Council for Frontiers of Knowledge, Kampala, Uganda.
• Council member 2013-2017, IASC, International Association for Statistical Computing. Chair 2013-2015 of the Committee on CS-DM&KD, Computational Statistics and Data Mining for Knowledge Discovery, IASC.
• IAU (International Astronomical Union), Commission B.3 Astroinformatics and Astrostatistics, member, Organising Committee. ( Astrostatistics and Astroinformatics Portal.)
• Innovation Value Institute IT-CMF, IT Capability Maturity Framework, Affiliate.

• Google Scholar profile (h-index 55, 14484 citations.)
• Erdős number: 2 (details).
• Doctoral genealogy (traceback).
• On LinkedIn. (Currently 1722 connections.)

Previous Posts Included:

• Head, School of Computer Science and Informatics, De Montfort University, Leicester, England, 2013-2014. (Now, Honorary Professor.)
• Professor of Computer Science in the University of London, 2004. Head of Department, Computer Science, Royal Holloway, University of London, 2005-2007. (Now, Honorary Professor.)
• Director, Information, Communications and Emergent Technologies, Science Foundation Ireland, 2007-2012
• Professor of Computer Science, Queen's University Belfast, 1999-2004
• Professor of Computer Science, University of Ulster, 1996-1999
• Senior Scientist, Space Science Department, European Space Agency, 1984-1996
• Professeur Associé, Observatoire Astronomique, Université de Strasbourg, to 2007

Research: Editorships, Projects (see above for publications, conferences)

Other Links

• Member of Editorial Board, International Review on Computers and Software (IRECOS), from 2016.
• Member of Editorial Board, Neurocomputing, from about 1987, and then from Volume 1, 1989.
• Member of Editorial Board, Big Data and Cognitive Computing, from 2016.
• Member of Editorial Board, Journal of Imaging.
• Member of Editorial Board, Journal of Classification, from about Volume 1, 1984.
• Other journals to be listed here.

• Blog: open innovation, intellectual property, university/business interface.
• Recent funded research projects, others pending. Around £60 million gained in research funding.
• Inaugural Lecture, 22 Feb. 2007, "Thinking Ultrametrically: Understanding Massive Data Sets and Navigating Information Spaces"