Below is the list of students/interns that I have mentored in different research/development projects.
J. Reimer, MSc. student in the Division of Biomedical Engineering, University of Saskatchewan. Co-mentored with Prof. R. J. Spiteri (supervisor). Fall 2020 -- Fall 2022. Research projects in scientific computing, numerical analysis, and mathematical software with applications in the modelling of heart muscle, diseases, and conditions.
T. Kolkman, Undergraduate student in the Department of Computer Science, University of Saskatchewan. Co-mentored with Prof. R. J. Spiteri (supervisor). Summer 2021. Research project in numerical linear algebra for massively large eigenvalue problems with applications in material physics.
R. Konno, Undergraduate student in the Department of Physics and Astronomy, University of British Columbia, and later a MSc. student in the Department of Mathematics, Simon Fraser University. Co-mentored with Prof. J. M. Wakeling and Prof. Nilima Nigam (supervisors). Summer 2018 and summer 2019. Research projects in numerical analysis, scientific computing, and biomechanics with applications to the modelling of diseases and conditions of skeletal muscles.
M. Monkman, Undergraduate student in the Department of Mathematics, Simon Fraser University. Co-mentored with Prof. N. Nigam and Prof. J. M. Wakeling (supervisors). Summer 2018. Research projects in numerical analysis, scientific computing, and biomechanics to gain a better understanding of the mechanics of skeletal muscles.
C. Tam, Undergraduate student in the Department of Mathematics and Statistics, McGill University. Co-mentored with Prof. N. Nigam and Prof. J. M. Wakeling (supervisors). Summer 2018. Research projects in numerical analysis, scientific computing, and biomechanics to improve numerical methods that approximate the mechanics of skeletal muscles.
H. Sutton, Undergraduate student in the Department of Mathematics, Simon Fraser University. Co-mentored with Prof. N. Nigam (supervisor). Research project in numerical analysis and linear elasticity to better understand the spectrum of the Jones eigenproblem in linear elasticity.