Ronald D. Haynes, PhD

rhaynes at mun.ca

Full Professor
Chair, Scientific Computing Graduate Programs
Department of Mathematics and Statistics
Memorial University of Newfoundland
St. John's, Newfoundland
Canada

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My CV


My CV is available here

My research group works in the areas of numerical methods for PDEs and industrially inspired, large scale, optimization.

I am currently looking for graduate students with solid backgrounds in Calculus, Linear Algebra, Differential Equations and Numerical Analysis. I supervise students in both the Math and Scientific Computing programs.

I am also actively involved with industrial collaborations, see my consulting page for more information.

Recent Highlights

  • President-Elect of the Canadian Applied and Industrial Mathematics Society, 2023-2025
  • Co-editor-in-chief, CAIMS Mathematics in Science and Industry Journal, 2023-2027
  • Chair of the Scientific Computing Graduate Programs, 2014-present
  • Interim Associate Dean of the School of Graduate Studies, 2023
  • Co-editor-in-chief, DD25 Proceedings, 2020
  • President's Award for Outstanding Research, 2018
  • Chair 25th International Domain Decomposition Conference Organizing Committee, 2018
  • Dean of Science Distinguished Teaching Award, 2017

Teaching

I teach courses in applied and numerical mathematics at all levels, including first year Calculus! I also teach Numerical Optimization courses at the senior undergraduate and graduate levels. For current students course webpages can be found on Brightspace.

Publications

A list can also be found in my CV

Peer-reviewed and Published Papers

ORCID iD icon https://orcid.org/0000-0002-4804-3152 does a reasonable job generating an updated publication list.


Recently Accepted
  • Haynes, R.D., Schwarz methods for mixed problems, DD28, 2024. PDF Submitted August 2024, Accepted May 2025.

Submitted or Under Revision
  • Haynes et al. Optimization of Mooring Designs, Submitted January 2025.
  • Bihlo, A., Donzelli, F., Farquharson, C., Gander, M.J., Haynes, R.D., Non-Overlapping Optimized Schwarz Methods for Magnetotelluric Approximations of Maxwell's Equations, Submitted to ESAIM, 21 Feb 2024.
  • Derijani, H., Haynes, R.D., James, L. Reduced-Physics-Based Proxy Development Using Material Balance and Well Performance with Adjoint Method for Water Injection Optimization, Submitted to ECMOR 2024.
  • Dawei Wang, Ronald D. Haynes and Scott MacLachlan, A positivity-preserving unigrid method for elliptic PDEs, June 2023. PDF Under Revision
Published Software
  • RIDC-DD: https://github.com/ongbw/ridc
  • DD-CPM: https://bitbucket.org/mayianm/dd-cpm/
  • Arjun Air: Parallelization and update

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