Nottingham University Business School
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Dr Bertrand Perrat

EngD (ENSG), PhD (University of Nottingham)
Assistant Professor in Business Analytics

Division: Marketing
Centre/Institute: N/LAB
E-mail: Bertrand.Perrat@nottingham.ac.uk
Location: C17 (North Building, Jubilee Campus)

Dr. Bertrand Perrat is the Geospatial lead within the N-LAB. He holds a PhD in Geospatial Sciences and his expertise is focused on developing and deploying novel data driven algorithms that facilitate decision making in various commercial and policy context with a particular focus on geospatial information. Focusing on real-world challenges, he directly works with numerous leading national and international companies (see the http://neodemographics.org N-Lab website for an up-to-date list).

Bertrand is module convenor of the following modules:


Analytics Specializations and Applications (BUSI4370)
Foundational Business Analytics (BUSI4371)

Details of all modules can be found on MyNottingham

His current research focuses on the efficient and effective processing of large, geo-spatially enabled data sets in order to better understand, summarise and predict human behaviour while ensuring appropriate interpretability for real world impact. This ranges from summarising behaviours of a specific population to the detection of potential slavery industries from satellite imagery.

Recent Publications

Journal Articles

Perrat, B.; Smith, M.; Mason, B.; Rhodes, J.; Goosey-Tolfrey, V. (2015), "Quality assessment of an Ultra-Wide Band positioning system for indoor wheelchair court sports", Journal of Sports Engineering and Technology, Vol.229.

Rhodes, J.; Mason, B.; Perrat, B.; Smith, M.; Malone, A.; Goosey-Tolfrey, V. (2015), "Activity profiles of elite wheelchair rugby players during competition", International Journal of Sports Physiology and Performance, Vol.10.

Rhodes, J.; Mason, B.; Perrat, B.; Smith, M.; Goosey-Tolfrey, V. (2014), "The validity and reliability of a novel indoor player tracking system for use within wheelchair court sports", Journal of sports sciences, Vol.32.


Torres Torres, M.; Perrat, B.; Iliffe, M.; Goulding, J.; Valstar, M. 2017, "Automatic Pixel-Level Land-use Prediction Using Deep Convolutional Neural Networks", in GISRUK 2017.



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