Professor Ian L. Dryden
Professor of Statistics,
School of Mathematical Sciences,
The University of Nottingham,
NG7 2RD, United Kingdom.
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
Shape analysis; object data analysis; manifold-valued data analysis;
high-dimensional data analysis; image analysis and applications of statistics.
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.
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).
CV (including full publications list, teaching & learning information and administration)
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
Google Scholar Profile
Official School webpage
Very basic introduction to R
Shape and Image Analysis course
Data Driven Discovery Research Priority Area
Royal Society Unconscious Bias video