Bath Institute for Mathematical Innovation (BIMI)

Organization profile

Organisation profile

We can help your business develop new products, processes and services using powerful mathematical and statistical methods. By analysing big data, simulating outcomes and modelling complex phenomena, we deliver innovative commercial solutions and exceptional results. 

The Institute also supports cross-campus research activities at the University of Bath and collaborates with prominent researchers globally. Our areas of expertise range from sophisticated big data analysis to state of the art mathematical modelling.

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

Piezoelectricity Engineering & Materials Science
Air Pollution Medicine & Life Sciences
Cell Migration Mathematics
Football Medicine & Life Sciences
Cohort Studies Medicine & Life Sciences
Size Perception Medicine & Life Sciences
Composite materials Engineering & Materials Science
Health Mathematics

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Projects 2015 2021

BBSRC Strategic Training Awards for Research Skills (STARS)

Wilson, L.

4/06/1818/08/18

Project: Research-related fundingOther

Mathematical Modelling of Sleep Behaviour as an Indicator of Avian Welfare

Wilson, L.

19/04/1830/09/18

Project: Research-related fundingIndividual grant

Research Output 1982 2019

Driving Style Modelling with Adaptive Neuro-Fuzzy Inference System and Real Driving Data

Feng, Y., Pickering, S., Chappell, E., Iravani, P. & Brace, C. 1 Jan 2019 Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018. Springer Verlag, p. 481-490 10 p. (Advances in Intelligent Systems and Computing; vol. 786)

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

Fuzzy inference
Railroad cars
Dynamometers
Chassis
Fuzzy logic

Adaptive Piecewise and Symbolic Aggregate Approximation as an Improved Representation Method for Heat Waves Detection

Ferreira, A. A., Herrera, M., Rameh Barbosa, I., de Aquino, R. R. B., Natarajan, S., Fosas, D. & Coley, D. 4 Jul 2018 p. 354 362 p.

Research output: Contribution to conferencePaper

Time series
Discrete wavelet transforms
Finance
Hot Temperature
Discrete Fourier transforms

Datasets

Dataset for "Mitigation versus adaptation: Does insulating buildings increase overheating risk?"

Fosas De Pando, D. (Creator), Coley, D. (Creator), Natarajan, S. (Creator), Herrera, M. (Creator), Fosas de Pando, M. (Creator), Ramallo Gonzalez, A. (Creator), University of Bath, 26 Jul 2018

Dataset

Dataset for GW4 "First Programming Courses" project

Davenport, J. (Creator), Murphy, E. (Creator), Crick, T. (Creator), University of Bath, 2016

Dataset