Intelligent Visual Data Exploration and Analytics for Automotive Engineering

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

Abstract

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).

Publications

10 25 50

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