Intelligent Visual Data Exploration and Analytics for Automotive Engineering

Lead Research Organisation: University of Brighton
Department Name: Sch of Computing, Engineering & Maths


The project aims to create a visual analytic tool facilitating the exploration of tremendous volumes of automotive engineering experimental data (e.g. filtering data sets and examining statistics), integrated with a machine learning approach, thereby enhancing the productivity of engineers or researchers. As a specific timely and vitally important application, it will propose a predictive model of low-speed pre-ignition, a recently identified abnormal combustion phenomena that predominantly affects state-of-the-art boosted, downsized, gasoline engines (that are currently seen as the most viable option for achieving emissions targets).


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509607/1 01/10/2016 30/09/2021
1793433 Studentship EP/N509607/1 03/10/2016 02/10/2019 Maria Diapouli