Professor Ian L. Dryden

Professor of Statistics,
School of Mathematical Sciences,
The University of Nottingham,
University Park,
Nottingham,
NG7 2RD, United Kingdom.

Contact

Office: Room B09, Mathematical Sciences Building, University Park.
[Building 20 on this map]
Telephone: 0115 - 846 7412 (International +44 115 - 846 7412)
e-mail: Ian -DOT- Dryden -AT- Nottingham -DOT- ac -DOT uk

Research Interests

Shape analysis; object data analysis; manifold-valued data analysis; high-dimensional data analysis; image analysis and applications of statistics.

News

  • May 13, 2019. Revised paper on arXiv Smoothing splines on Riemannian manifolds, with applications to 3D shape space with Kwang-Rae Kim and Huiling Le.
  • March 22, 2019. Paper on arXiv: Principal nested shape space analysis of molecular dynamics data with Kwang-Rae Kim, Charles A. Laughton, Huiling Le
  • February 21, 2019. Paper on arXiv: Manifold valued data analysis of samples of networks, with applications in corpus linguistics with Katie Severn, Simon P. Preston
  • August 18, 2018. R package version 1.2.4 available shapes.

    Short Bio

    I am a Professor of Statistics with 30 years research experience, and my main area of study has been the development of statistical methodology in highly-structured data analysis, including shapes, images and functional data. I obtained by PhD from the University of Leeds in 1989 and I have taught and carried out research at the University of Nottingham, University of South Carolina, University of Leeds and University of Chicago. I was Head of School of Mathematical Sciences, University of Nottingham from 2014-2018. I have published over 140 articles, and my joint book on Statistical Shape Analysis has about 4500 citations (Google Scholar). I have given many invited presentations worldwide, and was co-organiser of a year-long programme on the Analysis of Object Data at SAMSI, North Carolina. I have been PI/Co-I of more than £15 million in grants from EPSRC, BBSRC, Leverhulme Trust, Royal Society, Innovate UK and NSF. I am an elected Fellow of the Institute of Mathematical Statistics, and was awarded a Royal Society Wolfson Research Merit Award (2012-2017).

    Recent CV

  • CV (including full publications list, teaching & learning information and administration)

    Books

  • Dryden, I.L. and Mardia, K.V. (2016). Statistical Shape Analysis, with Applications in R. Second Edition John Wiley and Sons, Chichester. 454 + xxiii pages.
  • Dryden, I.L. and Kent, J.T. (2015) (editors). Geometry Driven Statistics John Wiley and Sons, Chichester. 394 + xviii pages.
  • Dryden, I. L. and Mardia, K. V. (1998). Statistical Shape Analysis. John Wiley and Sons, Chichester. 347 + xvii pages.

    Further information

  • Google Scholar Profile
  • ORCID Profile
  • Scopus
  • Researcher ID
  • arXiv reports

    Links

  • Official School webpage
  • Very basic introduction to R
  • Shape and Image Analysis course
  • Data Driven Discovery Research Priority Area [internal workspace]
  • Royal Society Unconscious Bias video
  • PhD thesis