Dr Jennifer Pestana

Lecturer

Mathematics and Statistics

Personal statement

My primary research interests are numerical linear algebra and its application to problems in scientific computing. Most of my work has focused on understanding the convergence behaviour of Krylov subspace methods for solving linear systems, and on developing preconditioners for specific applications. I have also been involved in projects that apply ideas from tropical algebra to problems in numerical linear algebra, such as pre-scaling matrices before solving linear systems. Current projects include developing fast solvers for problems from fractional diffusion, and analysing problems in broadband signal processing. 

I have been a lecturer in the Department of Mathematics and Statistics since 2015. Prior to this I held postdoctoral positions at The University of Manchester and the University of Oxford. I obtained my DPhil from the University of Oxford in 2012.

I am a member of SIAM, and am an editor of the SIAM Fundamentals of Algorithms book series. I am also a member of the Edinburgh Mathematical Society, the London Mathematical Society and am a Fellow of the Institute for Mathematics and its Applications. 

My personal webpage can be found here.

Publications

Preconditioners for symmetrized Toeplitz and multilevel Toeplitz matrices
Pestana J
SIAM Journal on Matrix Analysis and Applications Vol 40, pp. 870-887 (2019)
https://doi.org/10.1137/18M1205406
Sample space-time covariance matrix estimation
Delaosa Connor, Pestana Jennifer, Goddard Nicholas J, Somasundaram Samuel, Weiss Stephan
2019 International Conference on Acoustics, Speech, and Signal Processing, pp. 8033-8037 (2019)
Iterative approximation of analytic eigenvalues of a parahermitian matrix EVD
Weiss Stephan, Proudler Ian K, Coutts Fraser K, Pestana Jennifer
2019 International Conference on Acoustics, Speech, and Signal Processing, pp. 8038-8042 (2019)
https://doi.org/10.1109/ICASSP.2019.8682407
Analysis of broadband GEVD-based blind source separation
Redif Soydan, Pestana Jennifer, Proudler Ian K
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pp. 8028-8032 (2019)
https://doi.org/10.1109/ICASSP.2019.8683237
Support estimation of a sample space-time covariance matrix
Delaosa Connor, Pestana Jennifer, Goddard Nicholas J, Somasundaram Samuel D, Weiss Stephan
Sensor Signal Processing for Defence 2019 (2019)
Max-balanced Hungarian scalings
Hook James, Pestana Jennifer, Tisseur Francoise, Hogg Jonathan
SIAM Journal on Matrix Analysis and Applications Vol 40, pp. 320-346 (2019)
https://doi.org/10.1137/15M1024871

more publications

Professional activities

EPSRC Mathematical Sciences Prioritisation Panel February 2020 (Event)
Peer reviewer
25/2/2020
University of Insubria
Visiting researcher
12/1/2020
PhD External Examiner
Examiner
4/12/2019
LMS Workshop on Iterative Methods for Partial Differential Equations
Organiser
27/9/2019
29th Biennial Conference on Numerical Analysis
Organiser
2019
Society for Industrial and Applied Mathematics - Fundamentals of Algorithms Series (Publisher)
Editorial board member
1/1/2019

more professional activities

Projects

Doctoral Training Partnership 2018-19 University of Strathclyde | Merten, Julie
Barrenechea, Gabriel (Principal Investigator) Pestana, Jennifer (Co-investigator) Merten, Julie (Research Co-investigator)
01-Jan-2018 - 01-Jan-2022
Effective preconditioners for linear systems in fractional diffusion
Pestana, Jennifer (Principal Investigator)
19-Jan-2018 - 19-Jan-2020
Fundamentals, Techniques and Algorithms for Processing Multichannel Broadband Data | Delaosa, Connor
Weiss, Stephan (Principal Investigator) Pestana, Jennifer (Co-investigator) Delaosa, Connor (Research Co-investigator)
01-Jan-2017 - 01-Jan-2020

more projects

Address

Mathematics and Statistics
Livingstone Tower

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