Artificial Neural Network Regression Models for the Prediction of Brake-related Emissions is now available from Vincenzo Ricciardi, Technische Universität Ilmenau , on the EuroBrake website. He answers a few related questions below...
What do you find most interesting about the topic you are presenting on?
My research group is the first to apply machine learning techniques to the prediction of brake-related emissions data. The methodology behind the data pre-processing and the design of neural networks is what the reader shall find most interesting.
How has coronavirus affected your work and has it had a direct impact on the work you are presenting?
COVID did not have any major impact on our work, as the research and the paper writing was completed within EuroBrake2020 deadline in January 2020.
Who do you think will be most interested in seeing your presentation and who would you most like to ask questions about it?
I am sure that our research will draw the attention of academia, which use meta-modelling techniques to deal with highly non-linear problems, and of industry, which extensively use neural networks in AD and ADAS applications.
Vincenzo Ricciardi received in 2014 the Master’s degree in Mechanical Engineering from the University of Salerno (Italy).
He began his research activity with Magneti Marelli Powertrain (Bologna, Italy) in 2015, by taking care of modelling and control of hybrid powertrains.
From 2016 to 2019 he was holder of the Marie Curie Fellowship ITEAM at the University of Ilmenau (Germany).
He is currently working as research associate at the University of Ilmenau on the development of vehicle dynamics control functions.