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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Prasoon Garg
Intelligent Data-Driven Control Calibration
(2024) -
P. Garg,Emilia Silvas,Frank P.T. Willems
Experimental Demonstration of Time-Efficient Auto-Calibration of a Vehicle Thermal Management System Using Safe Reinforcement Learning
(2024) -
P. Garg,Emilia Silvas,Frank P.T. Willems
Safe and Time-Efficient Exploration in Reinforcement Learning-Based Control of Vehicle Thermal Systems
(2024) -
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)
Ancillary Activities
No ancillary activities