Benjamin W. Ong

$Benjamin W. Ong$

Contact

ongbw@mtu.edu
906-487-3367
Fisher 217

Associate Professor, Mathematical Sciences

PhD, Mathematics, Simon Fraser University
BSc, Mathematical Physics, Simon Fraser University

Biography

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 exascale 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

Personal Webpage

Areas of Expertise

Scientific computing
Numerical PDEs
Parallel Computing
Randomized Numerical Linear Algebra
Dimension Reduction

Publications

(2021) Azzam J, Ong BW and Struthers, AA, Randomized Iterative Methods for Matrix Approximation, Machine Learning, Optimization & Data Science [ pdf | supplementary | code ]
(2020) Ong BW and Schroder JB, Applications of Time Parallelism, Computing and Visualization in Science, 23:11 [ pdf | bib | doi ]
(2020) Ong BW and Dhamankar SV, Towards and adaptive treecode for n-body problems, J. Sci. Computing, 82:72 [ pdf | bib | doi | code ]
(2020) Ong BW and Spiteri RJ, Deferred Correction Methods for Ordinary Differential Equations, J. Sci Comput., 83:60 [ pdf | bib | doi | code ]
(2019) Kwok F and Ong BW, Waveform Relaxation with Adaptive Pipelining (WRAP) SIAM Scientific Computing 41(1):A339-A364, [ pdf | bib | doi ]
(2018) Ong BW and Mandal BC, Pipeline Implementations of Neumann-Neumann and Dirichlet-Neumann Waveform Relaxation Methods, Numerical Algorithms, 78(1):1-20 [ pdf | bib | doi | code ]
(2017) Ong BW, Christlieb AJ and Quaife BD, A new family of regularized kernels for the harmonic oscillator, Journal of Scientific Computing, 71(3):1212-1237, [ pdf | bib | doi ]
(2017) 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, 71(3):959-993, [ pdf | bib | doi ]
(2016) Iwen MA and Ong BW, A Distributed and Incremental SVD Algorithm for Agglomerative Data Analysis on Large Networks, SIAM Journal on Matrix Analysis and Applications 37(4):1699-1718, [ pdf| bib | doi | code ]
(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, [ pdf | bib | doi | code ]
(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, 363-370 [ pdf | bib | doi ]
(2015) Christlieb AJ, Macdonald CB, Ong BW, Spiteri RJ, Revisionist Integral Deferred Correction with Adaptive Step Size Control. Comm. Appl. Math. and Comp. Sci., 10(1):1-25, [ pdf | bib | doi ]
(2014) Causley MF, Christlieb A, Ong BW, Van Groningen L, Method of Lines Transpose: An Implicit Solution to the Wave Equation. Mathematics of Computation, 83(290):2763-2786, [ pdf | bib | doi ]
(2014) Ong BW, Haynes RH, A Hybrid MPI-OpenMP algorithm for the parallel space-time solution fo Time Dependent PDEs. Methods in Science and Engineering XXI, Lecture Notes in Computational Science and Engineering, Springer-Verlag, 157-164, [ pdf | bib | doi ]
(2013) Ong BW, Russell RD, Ruuth SJ, An h-r moving mesh method for one dimensional time dependent PDEs, Proceedings of the 21st International Meshing Roundtable, 39–54, [ pdf | bib | doi ]
(2012) Christlieb AJ, Haynes RD, Ong BW, A parallel space–time algorithm SIAM J. Sci. Comput, 34(5):233–248, [ pdf | bib | doi ]
(2011) Christlieb AJ, Ong BW, Parallel implicit time integrators, J. Sci. Comput, 49(2):167–179, [ pdf | bib | doi ]
(2011) Christlieb AJ, Morton MM, Ong BW, Qiu JM, Semi-implicit integral deferred correction using high order additive Runge–Kutta integrators, Comm. Math. Sci., 9(3):879-902, [ pdf | bib | doi ]
(2010) Christlieb AJ, Macdonald CB, Ong BW, Parallel high-order integrators, S SIAM J. Sci. Comput , 32(2):818-835, [ pdf | bib | doi ]
(2009) Christlieb AJ, Ong BW, Qiu JM, Integral deferred correction methods constructed with high order Runge-Kutta Methods, Math. Comp., 79:761-783, [ pdf | bib | doi ]
(2009) Christlieb AJ, Ong BW, Qiu JM, Comments on high order integrators embedded within integral deferred correction methods, Comm. Appl. Math and Comp. Sci., 4(1):27-56 [ pdf | bib | doi ]
(2008) Barber J, Bose C, Bourlioux A, Braun J, Brunelle E, Garcia T, Hillen T and Ong BW, Burning issues with PROMETHEUS, the Canada’s wildfire growth simulator, Canadian Applied Mathematics Quarterly, 16(4):337-378, [ pdf | bib ]

Funding

(2019) NSF CBMS Workshop on Parallel Time Integration, $36,636
(2019), Ninth Parallel-In-Time Integration Workshop, $25,185
(2016) IMA Conference Grant, "Finite Element Methods for Eigenvalue Problems", $17,610
(2016) IAS Travel Grant, "The Mathematics of Data", $5,000
(2015), Jackson Learning Grant, "Introduction to Scientific Simulations", $1,000
(2015), IMA Travel Grant, $750
(2016-2017) XSEDE Resource Allocation "Agglomerative Data Analysis on large Networks", $6,500
(2012-2015) AFOSR Computational Math FA9550-12-1-0455, "Fault Tolerant Paradigms", $677,129
(2011-2012) NVIDIA Teaching Center Award, $12,000
(2011-2012) XSEDE Resource Allocation "Fault Tolerant Computing". $20,000

Recent Presentations

3/2021, Randomized Two-Sided Matrix Approximations, Department Colloquium, Florida State University
3/2021, Deferred Corrections Methods, SIAM CSE 2021
11/2020, Randomized Matrix Approximations, Department Colloquium, University of New Mexico
6/2019, A Relaxation Approach to Parallel-in-time, 8th Parallel-in-time workshop, Bielefeld Germany
3/2019, Fast Manifold Updates for Non-stationary Data Streams, MTU Undergraduate Research Symposium, Houghton, MI
3/2019, Accelerated Boundary Integral Treecodes, MTU Undergraduate Research Symposium, Houghton, MI
2/2019, Kernel Regularization, MTU Applied Math Seminar, Houghton, MI
2/2019, Fast Manifold Updates for Non-stationary Data Streams, SIAM CSE 2019, Spokane, WA
2/2019, Randomized Sub-Sampled Methods for Matrix Approximations, SIAM CSE 2019, Spokane, WA
2/2019, Accelerated Boundary Integral Treecodes, SIAM CSE 2019, Spokane, WA
2/2019, A relaxation approach to parallel-in-time, SIAM CSE 2019, Spokane, WA
10/2018, Waveform Relaxation with Adaptive Pipelining, AMS Fall Central Section Meeting, Ann Arbor, MI
10/2018, Randomized Sub-Sampled Methods for Matrix Approximations, AMS Fall Central Section Meeting, Ann Arbor, MI
7/2018, Waveform Relaxation with Adaptive Pipelining, Domain Decomposition XXVI, St Johns, Newfoundland
2/2018, Fast Summation Methods, MTU Applied Math Seminar, Houghton MI
7/2017, A Distributed and Incremental SVD Algorithm for Agglomerative Data Analysis on Large Networks, SIAM Annual Meeting, Pittsburgh, PA
7/2017, Waveform Relaxation with Adaptive Pipelining, SIAm Annual Meeting, Pittsburgh, PA
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 step size control, Parallel–In–Time Workshop, Dresden, DE

Teaching

Spring 2022, MA 1160 - Calculus with Technology I
Spring 2022, MA 1600 - Introduction to Scientific Simulations
Fall 2021, MA 1160 - Calculus with Technology 1
Fall 2021, MA 2600 - Scientific Computing
Spring 2021, MA 4610 - Numerical Linear Algebra
Fall 2020, MA 2600 - Scientific Computing
Fall 2020, MA 1160 - Calculus with Technology I
Spring 2020, MA 5580 - Topics in Applied Mathematics (Parallel Time Integration)
Fall 2019, MA 1160 - Calculus with Technology I
Fall 2019, MA 2600 - Scientific Computing
Summer 2019, MA 5980 - Natural Language Processing of Streaming Data
Spring 2019, MA 1600 - Scientific Simulations
Fall 2018, MA 5980 -- Data Science Enterprise
Fall 2018, UN 5550 - Introduction to Data Science
Fall 2018, MA 2600 - Scientific Computing
Spring 2018, MA 1600 -- Introduction to Scientific Simulations
Spring 2018, MA 3521 -- Differential Equations
Spring 2018, MA 4900 -- Finding Structure in Data
Spring 2018, MA 5580 -- Computational Methods for Plasma Simulations
Fall 2017, MA 2600 -- Scientific Computing
Spring 2017, MA 1600 -- Introduction to Scientific Simulations
Fall 2016, MA 3520 -- Elementary Differential Equations
Fall 2016, MA 5629 -- Numerical PDEs (Course Website)
Spring 2016, MA 1600 -- Introduction to Scientific Simulations
Spring 2015, MA 1600 -- Introduction to Scientific Simulations (Course Website)
@ Michigan State University: Calculus, Linear Algebra, Numerical Analysis
@ Simon Fraser University: Pre-calculus, Optimization