Benjamin W. Ong

Benjamin W. Ong


  • Assistant Professor, Mathematical Sciences
  • PhD, Mathematics, Simon Fraser University
  • BSc, Mathematical Physics, Simon Fraser University


Ben received  a PhD from the Mathematics Department at Simon Fraser. After his graduation, he worked as a research assistant professor in the Department of Mathematics at Michigan State University and a research consultant at the Institute for Cyber-Enabled Research at Michigan State University. He joined the faculty ranks in the Department of Mathematical Sciences at Michigan Technological University in 2015.

His research focuses on high-order, parallel numerical methods for solving partial differential equations, including tackling challenges in exa-scale scientific computing and the modeling and simulations of plasma.

He is a member of the Society for Industrial and Applied Mathematics and the Canadian Applied and Industrial Mathematical Society.

Links of Interest

Areas of Expertise

  • Scientific computing
  • Numerical PDEs
  • Parallel Computing
  • Plasma modeling and simulation
  • Dimension Reduction

Recent Publications

  • Submitted, Pipeline Implementations of Neumann-Neumann and Dirichlet--Neumann Waveform Relaxation Methods Read More
  • 2016, Christlieb AJ, Cheng Y, Guo W and Ong BW, An asymptotic preserving Maxwell Solver resulting in the Darwin Limit of Electrodynamics, Journal of Scientific Computing Read More
  • 2016, Christlieb AJ, Ong BW, Quaife BD, A new family of regularized kernels for the harmonic oscillator, Journal of Scientific Computing Read More
  • 2016, Iwen, MA and Ong, BW, A distributed and Incremental SVD Algorithm for Agglomerative Data Analysis on Large Networks, SIAM Matrix Analysis and Applications Read More
  • 2016. Ong BW, Haynes RH, Ladd K, Algorithm 965: RIDC Methods – A Family of Parallel Time Integrators. ACM TOMS, 43(1):8:1--8:13, Read More
  • 2016. Ong BW, High S, Kwok F, Pipeline Schwarz Waveform Relaxation. Methods in Science and Engineering XXII, Lecture Notes in Computational Science and Engineering, Springer-Verlag, Read More
  • 2015. Christlieb AJ, Macdonald CB, Ong BW, Spiteri RJ, Revisionist Integral Deferred Correction with Adaptive Stepsize Control. Comm. Appl. Math. and Comp. Sci., 10(1):1-25 Read More

Recent Funding

  • IMA Conference Grant, "Finite Element Methods for Eigenvalue Problems" in the amount of $17,610, 2016
  • XSEDE Resource Allocation "Agglomerative Data Analysis on large Networks", approimately $6,500 in value, 2015-2016
  • PI, DOD Grant FA9550-12-1-0455, "Fault Tolerant Paradigms" in the amount of $677,129, 2012-2015

Recent Presentations

  • 12/2016, Pipeline Waveform Relaxation, Banff International Research Station, Banff, AB
  • 12/2016, Revisionist Integral Deferred Correction: Software for Parallel Time Integration, Banff International Research Station, Banff, AB
  • 8/2016, An Incremental SVD for Distributed Data, International Conference on Computational Mathematics and Inverse Problems, Houghton, MI
  • 7/2016, An Incremental SVD for Distributed Data, The Mathematics of Data, PCMI Workshop, Park City, Utah
  • 7/2016, Pipeline Waveform Relaxation Methods, SIAM Annual Meeting, Boston MA
  • 10/2015, Speeding up your computations – an Introduction to high performance computing & mathematical libraries, MTU Applied Math Seminar, Houghton MI
  • 8/2015, Towards Exascale Computations, AFOSR Computational Math Meeting, Arlington VA
  • 6/2015, RIDC Methods with stepsize control, Parallel–In–Time Workshop, Dresden, DE

Teaching Experience

  • 2016-2017, Differential Equations, Numerical PDEs, Introduction to Scientific Computing
  • 2015-2016, Introduction to Scientific Computing
  • @ MSU: Calculus, Linear Algebra, Numerical Analysis
  • @SFU: Pre-calculus, Optimization