EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)

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: www.bath.ac.uk/samba

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Temperature Engineering & Materials Science
Costs Engineering & Materials Science
Composite materials Engineering & Materials Science
Engines Engineering & Materials Science
Polymers Engineering & Materials Science
Water Engineering & Materials Science
Psoriatic Arthritis Medicine & Life Sciences
Fluids Engineering & Materials Science

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

Projects 2008 2023

Exploiting the analytic properties of accumulative hazards for survival analysis

Anaya-Izquierdo, K., Granzotto, D. & Louzada Neto, F.

27/10/1727/10/19

Project: Research-related fundingIndividual grant, International Collaboration

Research Output 1977 2018

A 3D parallel Particle-In-Cell solver for wave interaction with vertical cylinders

Chen, Q., Zang, J., Kelly, D. M. & Dimakopoulos, A. 1 Jan 2018 In : Ocean Engineering. 147, p. 165-180

Research output: Contribution to journalArticle

Water waves
Fluids
Message passing
Advection
Computational efficiency

A facility location problem solver and its application in healthcare

Vasilakis, C., Erdoğan, G. & Stylianou, N. 2018

Research output: Contribution to conferenceAbstract

AFM tip-based nanomachining with increased cutting speed at the tool-workpiece interface

Geng, Y., Brousseau, E. B., Zhao, X., Gensheimer, M. & Bowen, C. R. 1 Jan 2018 In : Precision Engineering. 51, p. 536-544 9 p.

Research output: Contribution to journalArticle

Microscopes
Piezoelectric actuators
Polymethyl methacrylates
Machining
Throughput

Datasets

Dataset for 'How smart do smart meters need to be?'

Mogles, N., Walker, I., Ramallo Gonzalez, A., Lee, J., Natarajan, S., Padget, J., Thomas, E., Hyniewska, S., Lovett, T., Ren, G., O'Neill, E., Hourizi, R., Coley, D., University of Bath, 1 Oct 2016

Dataset