Kamran Pentland
Scholar

Kamran Pentland

Google Scholar ID: x5UzeL8AAAAJ
United Kingdom Atomic Energy Authority
Mathematical modellingPlasma physicsNumerical methodsProbabilistic numerics
Citations & Impact
All-time
Citations
50
 
H-index
4
 
i10-index
2
 
Publications
11
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Selected Research: 'Real-time applicability of emulated virtual circuits for tokamak plasma shape control', published at 2025 IEEE Conference on Control Technology and Applications, authors include P. Cavestany, A. Ross, A. Agnello, A. Garrod, N. Amorisco, G. K. Holt, K. Pentland, J. Buchanan.
Research Experience
  • - United Kingdom Atomic Energy Authority (UKAEA), Computational Scientist, Oct. 2023 - Present
  • - University of Warwick, Graduate Teaching Assistant, Oct. 2020 - Sep. 2023
  • - Kings College London, Graduate Mathematics Tutor, Oct. 2020 - Apr. 2021
  • - UK Mathematics Trust, Marking Volunteer, Sep. 2017 - Sep. 2020
  • - University of Bath, Summer Research Intern, Jun. 2017 - Sep. 2017
  • - University of Bath, Mathematics Tutor, Sep. 2016 - Apr. 2017
  • - ConocoPhillips Ltd., Quantitative Market Risk Analyst, Jul. 2015 - Jul. 2016
Education
  • - University of Warwick, PhD in Mathematics of Real-World Systems, Sep. 2020 - Sep. 2023
  • - University of Warwick, MSc in Mathematics of Real-World Systems, Sep. 2019 - Sep. 2020
  • - University College London, MSc in Mathematical Modelling, Sep. 2018 - Sep. 2019
  • - University of Bath, BSc in Mathematics with Industrial Placement Year, Sep. 2013 - Jul. 2017
Background
  • A computational scientist working in the plasma simulation group. Interested in all sorts of mathematical modelling problems, including numerical integration for ODEs/PDEs, MHD equilibrium modelling, surrogate modelling (e.g., Gaussian processes), Bayesian methods (e.g., data assimilation, optimisation, UQ), parallel-in-time (PinT) methods, high performance computing, and multiscale/hybrid modelling problems.
Miscellany
  • Contact: kamran.pentland(at)ukaea.uk
  • Other platforms: Google Scholar, GitHub, LinkedIn, ORCID
Co-authors
0 total
Co-authors: 0 (list not available)