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Scopus Author ID: 56919700500

Keywords

Hardware-in-the-Loop, Reinforcement Learning, Virtual Development, Vehicle Testing

Countries

Germany, Italy

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Employment (1)

RWTH Aachen University: Aachen, Nordrhein-Westfalen, DE

Research Assistant
Employment
Source: Self-asserted source
Mario Picerno

Education and qualifications (2)

Politecnico di Torino: Torino, Piemonte, IT

Master’s Degree in Mechanical Engineering (Mechanical Engineering)
Education
Source: Self-asserted source
Mario Picerno

Politecnico di Bari: Bari, Puglia, IT

Bachelor's Degree in Mechanical Engineering (Mechanical Engineering)
Education
Source: Self-asserted source
Mario Picerno

Works (8)

Transfer of Reinforcement Learning-Based Powertrain Controllers From Model- to Hardware-in-The-Loop

IEEE Transactions on Vehicular Technology
2025 | Journal article
DOI: 10.1109/TVT.2025.3546717
Contributors: Mario Picerno; Lucas Koch; Kevin Badalian; Marius Wegener; Joschka Schaub; Charles R. Koch; Jakob Andert
Source: check_circle
Crossref

LExCI: A framework for reinforcement learning with embedded systems

Applied Intelligence
2024-09 | Journal article
DOI: 10.1007/s10489-024-05573-0
Contributors: Kevin Badalian; Lucas Koch; Tobias Brinkmann; Mario Picerno; Marius Wegener; Sung-Yong Lee; Jakob Andert
Source: check_circle
Crossref

Transfer of Reinforcement Learning-Based Controllers from Model- to Hardware-in-the-Loop

arXiv
2023 | Other
DOI: 10.48550/arXiv.2310.17671
EID:

2-s2.0-85176146306

Part of ISSN: 23318422
Contributors: Picerno, M.; Koch, L.; Badalian, K.; Wegener, M.; Schaub, J.; Koch, C.R.; Andert, J.
Source: Self-asserted source
Mario Picerno via Scopus - Elsevier

Automated function development for emission control with deep reinforcement learning

Engineering Applications of Artificial Intelligence
2023-01 | Journal article
DOI: 10.1016/j.engappai.2022.105477
Contributors: Lucas Koch; Mario Picerno; Kevin Badalian; Sung-Yong Lee; Jakob Andert
Source: check_circle
Crossref
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Preferred source (of 2)‎

Lean Approach for Virtual Calibration Using Hardware-in-the-Loop and Electronic Control Unit (ECU)-Capable Engine Simulation

SAE International Journal of Engines
2021 | Journal article
DOI: 10.4271/03-14-04-0032
EID:

2-s2.0-85109858374

Part of ISSN: 19463944 19463936
Contributors: Gottorf, S.; Fryjan, J.; Leyens, L.; Picerno, M.; Habermann, K.; Pischinger, S.
Source: Self-asserted source
Mario Picerno via Scopus - Elsevier

Virtual Powertrain Simulation: X-in-the-Loop Methods for Concept and Software Development

2021 | Book chapter
DOI: 10.1007/978-3-658-33466-6_38
Contributors: Mario Picerno; Sung-Yong Lee; Markus Ehrly; Joschka Schaub; Jakob Andert
Source: check_circle
Crossref

Real-Time Emission Prediction with Detailed Chemistry under Transient Conditions for Hardware-in-the-Loop Simulations

Energies
2021-12-31 | Journal article
DOI: 10.3390/en15010261
Contributors: Mario Picerno; Sung-Yong Lee; Michal Pasternak; Reddy Siddareddy; Tim Franken; Fabian Mauss; Jakob Andert
Source: check_circle
Crossref
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Preferred source (of 3)‎

Co-simulation of multi-domain engine and its integrated control for transient driving cycles

IFAC-PapersOnLine
2020 | Conference paper
DOI: 10.1016/j.ifacol.2020.12.917
EID:

2-s2.0-85105024098

Part of ISSN: 24058963
Contributors: Picerno, M.; Lee, S.-Y.; Schaub, J.; Ehrly, M.; Millo, F.; Scassa, M.; Andert, J.
Source: Self-asserted source
Mario Picerno via Scopus - Elsevier
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