Donald Estep

Donald Estep

Simon Fraser University

H-index: 29

North America-Canada

About Donald Estep

Donald Estep, With an exceptional h-index of 29 and a recent h-index of 15 (since 2020), a distinguished researcher at Simon Fraser University, specializes in the field of uncertainty quantification, a posteriori error analysis, stochastic inverse problems, adaptive computation, multiscale problems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Inverse Problems for Physics-Based Process Models

A Ramble Through Probability: How I Learned to Stop Worrying and Love Measure Theory

A posteriori error analysis for a space‐time parallel discretization of parabolic partial differential equations

Error estimation for the time to a threshold value in evolutionary partial differential equations

The Canadian Statistical Sciences Institute 2003–2022.

Effect of stochastic model error on the convergence and accuracy of Markov chains

Accelerated adaptive numerical methods for computational electromagnetics: enhancing goal-oriented approaches to error estimation, refinement, and uncertainty quantification

Realizing the Promise of Disaggregated Data and Analytics for Social Justice Through Community Engagement and Intersectoral Research Partnerships

Donald Estep Information

University

Position

___

Citations(all)

5224

Citations(since 2020)

1237

Cited By

4509

hIndex(all)

29

hIndex(since 2020)

15

i10Index(all)

71

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Donald Estep Skills & Research Interests

uncertainty quantification

a posteriori error analysis

stochastic inverse problems

adaptive computation

multiscale problems

Top articles of Donald Estep

Title

Journal

Author(s)

Publication Date

Inverse Problems for Physics-Based Process Models

Derek Bingham

Troy Butler

Don Estep

2024/3

A Ramble Through Probability: How I Learned to Stop Worrying and Love Measure Theory

Samopriya Basu

Troy Butler

Don Estep

Nishant Panda

2024

A posteriori error analysis for a space‐time parallel discretization of parabolic partial differential equations

Numerical Methods for Partial Differential Equations

Jehanzeb H Chaudhry

Donald Estep

Simon J Tavener

2024/1

Error estimation for the time to a threshold value in evolutionary partial differential equations

BIT Numerical Mathematics

Jehanzeb H Chaudhry

Donald Estep

Trevor Giannini

Zachary Stevens

Simon J Tavener

2023/3

The Canadian Statistical Sciences Institute 2003–2022.

Canadian Journal of Statistics

Mary Thompson

Nancy Reid

Don Estep

2022/12/1

Effect of stochastic model error on the convergence and accuracy of Markov chains

Mandy Yao

2022/7/28

Accelerated adaptive numerical methods for computational electromagnetics: enhancing goal-oriented approaches to error estimation, refinement, and uncertainty quantification

Jake J Harmon

2022

Realizing the Promise of Disaggregated Data and Analytics for Social Justice Through Community Engagement and Intersectoral Research Partnerships

Engaged Scholar Journal

Angela Kaida

Jillian Anderson

Christine Barnard

Lyn Bartram

Daniel Bert

...

2022

Learning quantities of interest from dynamical systems for observation-consistent inversion

Computer Methods in Applied Mechanics and Engineering

SA Mattis

Kyle Robert Steffen

Troy Butler

Clint N Dawson

Donald Estep

2022/1/1

A posteriori error analysis for Schwarz overlapping domain decomposition methods

BIT Numerical Mathematics

Jehanzeb H Chaudhry

Donald Estep

Simon J Tavener

2021/12

Adjoint sensitivity analysis for uncertain material parameters in frequency-domain 3-D FEM

IEEE Transactions on Antennas and Propagation

Jake J Harmon

Cam Key

Donald Estep

Troy Butler

Branislav M Notaroš

2021/4/6

Error estimation and uncertainty quantification for first time to a threshold value

BIT Numerical Mathematics

Jehanzeb H Chaudhry

Donald Estep

Zachary Stevens

Simon J Tavener

2020

Improvements in Computational Electromagnetics Solver Efficiency: Theoretical and Data-Driven Approaches to Accelerate Full-Wave and Ray-Based Methods

Cam Key

2020

Statistical modeling and inference for complex-structured count data with applications in genomics and social science

Meng Cao

2020

Adjoint-based accelerated adaptive refinement in frequency domain 3-D finite element method scattering problems

IEEE Transactions on Antennas and Propagation

Jake J Harmon

Cam Key

Donald Estep

Troy Butler

Branislav M Notaroš

2020/8/18

A Posteriori Error Estimation and Adaptive Discretization Refinement Using Adjoint Methods in CEM: A Study With a 1-D Higher Order FEM Scattering Example

IEEE Transactions on Antennas and Propagation

Cam Key

Aaron P Smull

Donald Estep

Troy Butler

Branislav M Notaroš

2020/3/4

See List of Professors in Donald Estep University(Simon Fraser University)

Co-Authors

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