Lars Bogaerts
Postdoctoral Researcher at Ku Leuven
Based in Mechelen, Belgium
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Seniority
Staff
Department
Research & Development
Location
Mechelen
Industry
Research Services
Company size
15K
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l•••••••@kuleuven.be
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Background
About Lars Bogaerts
Lars Bogaerts is a Ph.D. candidate at the KU Leuven, Department of Mechanical Engineering. His main research interests are in the field of numerical simulation, Uncertainty identification and machine learning. He is particularly interested in process hybrid TWIN modelling. Lars obtained his Master’s in Engineering Technology with a specialization in automotive engineering in 2017. After that, he completed the “Research in Engineering Technology” postgraduate programme. Both are obtained at KU Leuven. He is currently working on a Ph.D. within the Reliable and Robust Design research group, under supervision of David Moens. The research focuses on developing hybrid TWIN strategies to revolutionise the way to monitor processes. This assists in the detection of errors, adjustments of parameters, maintenance scheduling. This use of real-time data is essential in the industry 4.0 standard. His current publications lie in the field of machine learning, quasi real-time Uncertainty Quantification and non-deterministic welding modelling.
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