Projects per year
Organisation profile
Organisation profile
Our research is based on teams focusing on particular research areas but with a strong culture of collaboration and mutual support.
In the 2014 Research Excellence Framework (REF), 88% of our research in all areas (Pure and Applied Mathematics, Statistics and Probability) was rated world leading/internationally excellent. The results of REF 2014 confirm the excellence of the research carried out in the Department of Mathematical Sciences.
Mathematical Sciences Research Centres:
- Centre for Mathematical Biology
- Centre for Nonlinear Mechanics
- Centre for Networks and Collective Behaviour
- Probability Laboratory at Bath
The groups within Mathematical Sciences include:
- Algebra and Geometry
- Analysis and Differential Equations
- Dynamical Systems and Complexity
- Mathematical Control Theory
- Industrial Applied Mathematics
- Mathematical Biology
- Numerical Analysis
- Continuum Mechanics of Solids and Fluids
- Statistics
- Probability
Current members of the department can find more information about our research in our Research Wiki.
Join us as an independent research fellow
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Collaborations and top research areas from the last five years
Profiles
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Ben Adams
- Department of Mathematical Sciences - Senior Lecturer
- Centre for Mathematical Biology - Co-Director
- Centre for Networks and Collective Behaviour
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
Person: Research & Teaching
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Abdulmuhsin Alfaraj
- Department of Mathematical Sciences - Postgraduate Research Student
Person: Postgraduate Research Student, Doctor of Philosophy
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RS Enhanced Res expenses - Branching systems with spatial interactions
1/09/23 → 30/09/26
Project: Research council
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RepNet funding for LMS-Bath Symposium
Engineering and Physical Sciences Research Council
1/08/23 → 31/08/23
Project: Research council
Research output
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A Bayesian adaptive design for dual-agent phase I–II oncology trials integrating efficacy data across stages
Jiménez, J. L. & Zheng, H., 18 May 2023, (E-pub ahead of print) In: Biometrical Journal.Research output: Contribution to journal › Article › peer-review
Open Access -
A branching process with deletions and mergers that matches the threshold for hypercube percolation
Eslava, L., Penington, S. & Skerman, F., 3 Jan 2023, (Acceptance date) In: Annales de l'Institut Henri Poincare B Probabilites et Statistiques.Research output: Contribution to journal › Article › peer-review
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A Design Utility Approach for Preferentially Sampled Spatial Data
Gray, E. & Evangelou, E., 30 Jun 2023, (E-pub ahead of print) In: Journal of the Royal Statistical Society. Series C: Applied Statistics. 2023, 23 p., qlad040.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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In conversation with Edward Fraenkel
Zimmer, J. (Creator), Fraenkel, L. (Other), Ball, J. (Other), Wharf, S. (Editor) & Ballinger, J. (Editor), University of Bath, 20 Mar 2018
DOI: 10.15125/BATH-00494, https://vimeo.com/260970641 and one more link, https://vimeo.com/260970965 (show fewer)
Dataset
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Data for 'Fast Matrix Operations in Computer Algebra'
Tonks, Z. (Creator), Davenport, J. (Editor) & Sankaran, G. (Editor), University of Bath, 13 Dec 2017
DOI: 10.15125/BATH-00460
Dataset
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Data set for "Acceleration of Convergence to Equilibrium in Markov Chains by Breaking Detailed Balance"
Kaiser, M. (Creator), Jack, R. (Creator) & Zimmer, G. (Creator), University of Bath, 1 May 2017
DOI: 10.15125/BATH-00365, https://doi.org/10.15125/BATH-00349
Dataset
Student theses
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A Bayesian Approach to Phylogenetic Networks
Author: Radice, R., 1 Jan 2011Supervisor: Feil, E. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File -
Absolute stability results for infinite-dimensional discrete-time systems with applications to sampled-data integral control
Author: Coughlan, J. J., 2007Student thesis: Doctoral Thesis › PhD
File -
Accelerating Bayesian inference with physics-governed likelihoods using deep learning: (Alternative Format Thesis)
Author: Deveney, T., 22 Jun 2022Supervisor: Shardlow, T. (Supervisor) & Mueller, E. (Supervisor)
Student thesis: Doctoral Thesis › PhD
File