Organization profile

Organisation profile

SAMBa is the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath. In a world of fast moving decision making, based on myriad sources of large and complex data, the need to robust collection, analysis and interpretation of that data is essential. Statistical Applied Mathematics brings together the research areas of applied maths, stochastic modelling, numerical analysis and statistics, in a multidisciplinary and industrially motivated environment. It provides researchers with tools to not only undertake novel and creative research, but also to communicate their results and build successful collaborations across traditional boundaries. SAMBa is funded by EPSRC and the University of Bath, based in the Mathematical Sciences department but with collaborators from across campus, the UK, internationally and outside of academia. Students undertake a four year programme, which consists mainly of taught courses in year one and research in years two to four. We also run biannual Integrative Think Tanks (ITTs) which bring together students, academics, and partners to formulate mathematical approaches to high level industrial and societal challenges. For more information see our website: http://www.bath.ac.uk/centres-for-doctoral-training/epsrc-centre-for-doctoral-training-in-statistical-applied-mathematics-samba/

Fingerprint Dive into the research topics where EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Polymers Chemical Compounds
Engines Engineering & Materials Science
Turbines Engineering & Materials Science
Energy harvesting Engineering & Materials Science
Composite materials Engineering & Materials Science
Laminates Engineering & Materials Science
Costs Engineering & Materials Science
Water Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2000 2023

Research Output 1977 2020

2 Citations (Scopus)

A 3D parallel Particle-In-Cell solver for extreme wave interaction with floating bodies

Chen, Q., Zang, J., Ning, D., Blenkinsopp, C. & Gao, J., 1 May 2019, In : Ocean Engineering. 179, p. 1-12 12 p.

Research output: Contribution to journalArticle

3 Citations (Scopus)

A Blind comparative study of focused wave interactions with a fixed FPSO-like structure (CCP-WSI Blind Test Series 1)

Ransley, E., Yan, S., Brown, S., Mai, T., Ma, Q., Engsig-Karup, A. P., Eskilsson, C., Xie, Z., Stoesser, V., Wan, D., Chen, H., Qian, L., Mingham, C., Causon, D., Gatin, I., Jasak, H., Downie, S., Higuera, P., Buldakov, E., Chen, Q. & 2 others, Zang, J. & Greaves, D., 2 Jun 2019, In : International Journal of Offshore and Polar Engineering. 29, 2, p. 113-127 15 p.

Research output: Contribution to journalArticle

Datasets

Dataset for "3D Printed Contactor for Enhanced Oil Droplets Coalescence"

Al-Shimmery, A. (Creator), Mazinani, S. (Creator), Flynn, J. (Creator), Chew, J. (Creator), Mattia, D. (Creator), University of Bath, 19 Jul 2019

Dataset

Dataset for "Atomic dispensers for thermoplasmonic control of alkali vapor pressure in quantum optical applications"

Rusimova, K. (Creator), Slavov, D. (Creator), Pradaux-Caggiano, F. (Creator), Collins, J. (Creator), Gordeev, S. (Creator), Carbery, D. (Creator), Mosley, P. (Creator), Wadsworth, W. (Creator), Valev, V. (Creator), University of Bath, 24 May 2019

Dataset

Student theses

3D Electrical impedance tomography using planar arrays

Author: Wu, Q. B., 16 Aug 2018

Supervisor: Soleimani, M. (Supervisor)

Student thesis: Doctoral ThesisMPhil

File

3D Face Recognition Using Multicomponent Feature Extraction from the Nasal Region and its Environs

Author: Gao, J., 23 Nov 2016

Supervisor: Evans, A. (Supervisor) & Li, R. (Supervisor)

Student thesis: Doctoral ThesisPhD

File

A Bayesian Approach to Phylogenetic Networks

Author: Radice, R., 1 Jan 2011

Supervisor: Feil, E. (Supervisor)

Student thesis: Doctoral ThesisPhD

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