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Research
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Other places to find my work, which might be more up to date, include the arXiv, Google Scholar, and my ORCID page.

Survey articles

Pooled testing and its applications in the COVID-19 pandemic
M Aldridge, D Ellis
In: Pandemics: Insurance and Social Protection, edited by MdC Boado-Penas, J Eisenberg, Ş Şahin, Springer, 2022
Extended version: arXiv:2105.08845
Book chapter: doi:10.1007/978-3-030-78334-1_11

Group testing: an information theory perspective
M Aldridge, O Johnson, J Scarlett
Foundations and Trends in Communications and Information Theory, 15:3–4, 196–392, 2019
Paper/Book/Ebook: doi:10.1561/0100000099
Preprint: arXiv:1902.06002

Papers

The law of thin processes: a law of large numbers for point processes
M Aldridge
2025
Preprint: arXiv:2502.14839

Small error algorithms for tropical group testing
V Paligadu, O Johnson, M Aldridge
IEEE Transactions on Information Theory, 70:10, 7232-7250, 2024
Paper: doi:10.1109/TIT.2024.3445271
Preprint: arXiv:2309.07264

Conservative two-stage group testing in the linear regime
M Aldridge
2022
Preprint: arXiv:2005.06617

Pooled testing to isolate infected individuals
M Aldridge
2021 55th Annual Conference on Information Sciences and Systems (CISS), 2021
Paper: doi:10.1109/CISS50987.2021.9400313
Preprint: arXiv:2107.09633
Talk: YouTube

On the all-or-nothing behavior of Bernoulli group testing
LV Truong, M Aldridge, J Scarlett
IEEE Journal on Selected Areas in Information Theory, 1:3, 669--680, 2020
Paper: doi:10.1109/JSAIT.2020.3039790
Preprint: arXiv:2001.10137

Rates of adaptive group testing in the linear regime
M Aldridge
2019 IEEE International Symposium on Information Theory (ISIT), 236--240, 2019
Paper: doi:10.1109/ISIT.2019.8849712
Preprint: arXiv:1901.09687

Individual testing is optimal for nonadaptive group testing in the linear regime
M Aldridge
IEEE Transactions on Information Theory, 65:4, 2058–2061, 2019
Paper: doi:10.1109/TIT.2018.2873136
Preprint: arXiv:1801.08590

Performance of group testing algorithms with near-constant tests-per-item
O Johnson, M Aldridge, J Scarlett
IEEE Transactions on Information Theory, 65:2, 707–723, 2019
Paper: doi:10.1109/TIT.2018.2861772
Preprint: arXiv:1612.07122

The capacity of nonadaptive Bernoulli group testing
M Aldridge
IEEE Transactions on Information Theory, 63:11, 7142–7148, 2017
Paper: doi:10.1109/TIT.2017.2748564
Preprint: arXiv:1511.05201

On the optimality of some group testing algorithms
M Aldridge
2017 IEEE International Symposium on Information Theory Proceedings, 3085–3089, 2017
Paper: doi:10.1109/ISIT.2017.8007097
Preprint: arXiv:1705.02708

Almost separable matrices
M Aldridge, L Baldassini, K Gunderson
Journal of Combinatorial Optimization, 33:1, 215–236, 2017
Paper: doi:10.1007/s10878-015-9951-1
Preprint: arXiv:1410.1826

Improved group testing rates with constant column weight designs
M Aldridge, O Johnson, J Scarlett
2016 IEEE International Symposium on Information Theory Proceedings, 1381–1385, 2016
Paper: doi:10.1109/ISIT.2016.7541525
Preprint: arXiv:1602.03471
(I would recommend reading "Performance of group testing algorithms with near-constant tests-per-item" above instead, which is a superset of this paper)

Group testing algorithms: bounds and simulations
M Aldridge, L Baldassini, O Johnson
IEEE Transactions on Information Theory, 60:6, 1–17, 2014
Paper: doi:10.1109/TIT.2014.2314472
Preprint: arXiv:1306.6428

The capacity of adaptive group testing
L Baldassini, O Johnson, M Aldridge
2013 IEEE International Symposium on Information Theory Proceedings, 2676–2680, 2013
Paper: doi:10.1109/ISIT.2013.6620712
Preprint: arXiv:1301.7023

Delay-rate tradeoff in ergodic interference alignment
O Johnson, M Aldridge, and R Piechocki
2012 IEEE International Symposium on Information Theory Proceedings, 2626–2630, 2012
Extended version: arXiv:1004.0208
Conference paper: doi:10.1109/ISIT.2012.6283994

Adaptive group testing as channel coding with feedback
M Aldridge
2012 IEEE International Symposium on Information Theory Proceedings, 1832–1836, 2012
Paper: doi:10.1109/ISIT.2012.6283596
Preprint: arXiv:1203.5927

Interference alignment-based sum capacity bounds for random dense Gaussian interference networks
O Johnson, M Aldridge, and R Piechocki
IEEE Transactions on Information Theory, 57:1, 282–290, 2011
Paper: doi:10.1109/TIT.2010.2090242
Preprint: arXiv:0907.5165

Asymptotic sum-capacity of random Gaussian interference networks using interference alignment
M Aldridge, O Johnson, and R Piechocki
2010 IEEE International Symposium on Information Theory Proceedings, 410–414, 2010
Paper: doi:10.1109/ISIT.2010.5513390
Preprint: arXiv:1002.0235

PhD thesis

Interference mitigation in large random wireless networks
M Aldridge
PhD thesis, University of Bristol, 2011
Online version: arXiv:1109.1255