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.

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    Projects

    Research Output

    A circle criterion for strong integral input-to-state stability

    Guiver, C. & Logemann, H., 1 Jan 2020, In : Automatica. 111, 108641.

    Research output: Contribution to journalArticle

    Affect Recognition using Psychophysiological Correlates in High Intensity VR Exergaming

    Barathi, S. C., Proulx, M., O'Neill, E. & Lutteroth, C., 16 Jan 2020, (Accepted/In press) Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. New York, U.S.A.: Association for Computing Machinery, Vol. 2020-April. p. 1-15 15 p. (CHI: Conference on Human Factors and Computing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    38 Downloads (Pure)

    Datasets

    Dataset for "The importance of thermal modelling and prototyping in transitional shelter design"

    Fosas, D. (Creator), Moran, F. (Creator), Natarajan, S. (Creator), Orr, J. (Creator), Coley, D. (Creator), University of Bath, 22 Nov 2019

    Dataset

    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

    File