Dr Diwei Zhou

Pronouns: She/her
  • Senior Lecturer in Statistics
  • Associate Pro Vice-Chancellor for Sport, Health and Wellbeing

Research groups and centres

Publications
Picture of Diwei Zhou
  • February 2020 – present: Senior Lecturer in Statistics, Department of Mathematical Sciences, Loughborough University.
  • February 2015 – January 2020: Lecturer in Statistics, Department of Mathematical Sciences, Loughborough University.
  • August 2012 – January 2015: Lecturer/Senior Lecturer in Statistics, School of Computing, Engineering and Mathematics, University of Brighton.
  • September 2009 — July 2012: Lecturer in Statistics, School of Technology, University of Wolverhampton.
  • September 2006 — August 2009: PhD (funded by a Marie Curie research fellowship), School of Mathematical Sciences, University of Nottingham.

Research areas

  • Statistical Modelling and Uncertainty Quantification for data-driven problems
  • Statistical Image and Shape Analysis (e.g., Diffusion MRI for brains and muscles)
  • Bayesian statistics
  • Medical statistics

Grants

  • Knowledge Transfer Partnership project with the British Parking Association, funded by Innovate UK, 2023-2025, £230K.
  • Powertrain data analysis, An industry sponsored research project, 2023-2024, £186K.
  • Knowledge Transfer Partnership project with Caterpillar, funded by the Innovate UK, 2023-2025, £252K.
  • Knowledge Exchange Catalyst Fellowship, sponsored by the ICMS and EPSRC, 2023-2024, £63K.
  • Uncertainty Analysis of Financial Modelling, An industry sponsored research study, 2022-2025, £70K.
  • Oil Analytics, An industry sponsored pilot study, 2021-2023, £95K.
  • Development of a software tool for musculoskeletal diffusion tensor image analysis, funded by HEIF, EPSRC IAA and LU, 2019- 2021, £110K.
  • Data Driven Analytic and Statistical Modelling, An industry sponsored research study, 2019- 2022, £70K.
  • Development of Non-Euclidean Diffusion Tensor Image Analysis Software, funded by EPSRC IAA, 2017, £5K.
  • Detection and Identification of Nanoplastics using Surface Enhanced Raman Spectroscopy, funded by EPSRC through NanoPrime scheme, 2018, £2K.
  • Statistical analysis of thermal thresholds detection, funded by GB Electronics (UK), 2014, £4.5K.

PGR examinations

  1. Senee Kitimoon, Multi-Output Gaussian Processes for Interpolation and Transfer Learning in Diffusion Tensor Imaging, University of Sheffield, 2022.
  2. Steff Farley, Characterising the Geometry of Image Space of Nanostructures for Inferential Analysis of Dewetting Processes and Computational Models, Loughborough University, 2021
  3. Hanaa Fathi Mahmood, Text Detection and Recognition from Natural Images, Loughborough University, 2020
  4. Qamar Natsheh, Securing DICOM Images through Automatic Selective Encryption, Loughborough University, 2019
  5. Arif Reza Anwary, Statistical Shape Analysis for the Human Back, University of Wolverhampton, 2012

 

  • MAC170 Medical Statistics, Module leader

  • MAC173 Statistical Shape and Image Analysis

  • Statistics advisor, Mathematics Education Centre, Loughborough University
  • Super Champion for the UK Knowledge Exchange Hub for Mathematical Sciences (October 2023 – present)
  • Elected Senate Member of the Academic Staff in the School of Science, Loughborough University (2022-present)
  • Committee member of the Royal Statistical Society East Midlands Group (2021-present)
  • Chair of the Royal Statistical Society East Midlands Group (2019-2021)
  • Member of the Royal Statistical Society
  • Fellow of the Higher Education Academy (HEA UK)
  • Member of the London Mathematical Society

Current PhD students:

  • Lei Lyu (2023-present): Statistical Machine Learning for Traffic Data Simulation and Prediction.
  • Chubing Li (2022-present): Uncertainty analysis of real estate investment
  • Jennifer Ferris (2021-present): Statistical Models of Lower Limb Soft Tissue for Integration into Multimodal Imaging Technologies
  • Stefan Calvert (Sept 2019 - present), Data-Driven Analytical and Statistical Modelling

Completed PhD projects:

  • Lei Ye (Jan 2017 – June 2021). Thesis: Computational Statistics for Brain and Muscle Diffusion Tensor Image Analysis.
  • Khawla Mahmood (Oct 2014 – Nov 2018). Thesis: Statistical Analysis for Decomposed Multivariate Time Series Data with an application to Water Discharge Forecasting.
  • Safa Elsheikh (Oct 2013 – June 2018). Thesis: Computational Statistics for Human Brain Diffusion Tensor Image Analysis.
  • Jiajia Yan (Feb 2012 – Nov 2016). Thesis: Statistical Analysis on Diffusion Tensor Estimation.

Postdoc:

  • Eddie Chen (2023-present): Statistical Analytics for Oil Evolution.
  • Sobhi Berjawi (March 2022-December 2022). Oil analytics.
  • Safa Elsheikh (Oct 2019 - Nov 2020). Musculoskeletal Diffusion Magnetic Resonance Image Analysis
  • Wil Ward (2017). Medical Image Analysis