Prasoon Garg
Department / Institute
Group
RESEARCH PROFILE
Prasoon Garg is a Doctoral Candidate in Controls Systems Technology research group at Eindhoven University of Technology (TU/e). His research focuses on AI-based control development for future automotive powertrains, which are getting more complex due to stringent regulations on emissions, demand for comfort and performance. The project will focus on reducing calibration effort for these future powertrain systems.
Safe and Efficient learning is the key to Self Learning powertrains.
ACADEMIC BACKGROUND
Prasoon Garg obtained his MSc in Automotive Technology from Eindhoven University of Technology (TU/e). During his graduation project, he focused on development of a virtual NOx sensor for a heavy-duty diesel engine. He obtained his BE. Hons. in Mechanical Engineering from Birla Institute of Technology and Science, Pilani, India.
His expertise are in engine control, modeling and signal processing for time-frequency analysis.
Recent Publications
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P. Garg,Ron Puts,Bart van Moergastel,Frank P.T. Willems
Automated Calibration of an Automotive Thermal Control System using Reinforcement Learning
(2023) -
P. Garg,Emilia Silvas,Frank P.T. Willems
Systematic hyperparameter selection in Machine Learning-based engine control to minimize calibration effort
Control Engineering Practice (2023) -
P. Garg,Emilia Silvas,Frank P.T. Willems
Systematic Comparison of Supervised Learning Methods to Reduce Calibration Effort in Engine Control Development
IFAC-PapersOnLine (2022) -
P. Garg,Emilia Silvas,Frank P.T. Willems
Potential of machine learning methods for robust performance and efficient engine control development
IFAC-PapersOnLine (2021) -
P. Garg,Emilia Silvas,Frank P.T. Willems
Potential of supervised learning to reduce calibration effort in diesel engine control development
(2021)
Ancillary Activities
No ancillary activities