Emanuele Angiolini
Modelling & Simulation Lead Engineer Fleet Analytics & Performance Modelling Sme @JLR
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WORK HISTORY
Modelling & Simulation Lead Engineer Fleet Analytics & Performance Modelling Sme @JLR
Main tasks & responsibilities:• Statistical assessment of fleet performance via fleet data analytics and MiL techniques.• Ideation and development from scratch of front- and back-end of Fleet Performance toolto evaluate fleet performance based on Monte Carlo simulations using Simulink.Recently applied to estimate the effect of removing GPF Lean Lambda active regeneration.• Ideation and development from scratch of front- and back-end of Fleet Warranty Coveragetool for warranty cost estimation based on Simulink modelling and fleet data analytics.Recently applied to estimate the percentage of Diesel fleet at risk of early oil service.• Model-based control software development.• Participation in research projects on machine learning and AI application for automotiveadvanced software development with JLR partner universities.• Support Powertrain quality investigations applying DMAIC & 8D six sigma principles.
EDUCATION
CMT - Motores Termicos @ Universidad Politecnica de Valencia
Doctor of Philosophy - PhD, Mechanical engineering
Sapienza Università di Roma
Bachelor's degree, Aerospace, Aeronautical and Astronautical Engineering
CMT - Motores Termicos @ Universidad Politecnica de Valencia
Master's degree, Internal Combustion Engines
Sapienza Università di Roma
Master's degree, Aeronautical Engineering
ABOUT EMANUELE ANGIOLINI
Dynamic, curious and responsible professional with deep knowledge of ICE and aftertreatment systems and a passion for math and engineering. Love to face complex problems that stimulate my brain. Thanks to that during my career I have been able to successfully deal with a wide range of tasks from in-vehicle calibration testing to big data analysis, software development, 1D modelling and model-based calibration.
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