Lars Janssen
Department / Institute
RESEARCH PROFILE
Lars Janssen is a Doctoral Candidate at the Dynamics and Control (DC) group of the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). He is currently working on a compositional framework for complexity management of multi-disciplinary digital twins. In his project, Janssen is supervised by Nathan van de Wouw (TU/e) and Rob Fey (TU/e) and Bart Besselink (RUG).
ACADEMIC BACKGROUND
Lars Janssen (born, 1996) obtained his B.Sc.-degree and M.Sc.-degree (Cum Laude) in Mechanical Engineering from the Eindhoven University of Technology (TU/e), Eindhoven, the Netherlands, in 2017 and 2019, respectively. In 2018, he did an internship project at Volkswagen AG in Kassel, Germany. Here, Janssen researched supply chain control and simulation with a focus on forecasting models. Subsequently, he wrote his master’s thesis on acoustic arrays as a condition monitoring and fault detection tool using machine learning. In 2020, Janssen started as a doctoral candidate on model reduction techniques for interconnected systems.
Recent Publications
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ut
An efficient Top-Down Redesign Approach
(2023) -
L.A.L. Janssen,Bart Besselink,Rob Fey,Nathan van de Wouw
Modular Model Reduction of Interconnected Systems
(2023) -
L.A.L. Janssen,R.H.B. Fey,Bart Besselink,Nathan van de Wouw
Error Bounds in Model Reduction of Interconnected Systems
(2022) -
L.A.L. Janssen,Bart Besselink,Rob H.B. Fey,Mohammad H. Abbasi,Nathan van de Wouw
A Priori Error Bounds for Model Reduction of Interconnected Linear Systems using Robust Performance Analysis
(2022) -
L.A.L. Janssen,Bart Besselink,Rob Fey,Nathan van de Wouw
A Priori Error Bounds for Model Reduction of Interconnected Systems
(2022)
Ancillary Activities
No ancillary activities