• 3
    Citations - based on content available in repository [source: Scopus]

Content available in repository

Personal profile


Autonomous model updating facilitates that a Digital Twin will remain a suitable copy of its physical sibling throughout its entire life.

Research profile

Bas Kessels is a Doctoral Candidate at the Dynamics and Control (DC) group of the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). In his project, Kessels is supervised by Nathan van de Wouw (Full Professor) and Rob Fey (Associate Professor), both also members of the DC group. His current research interests are in the field of ‘dynamics of mechanical systems’ with a focus on the mechatronics application field. Fundamental research focus is on model updating, machine learning techniques, and structural dynamics. Kessels’ educational activities include assisting in the courses Structural Dynamics (master course) and Engineering Dynamics (bachelor course, 1st year).  

Academic background

Bas Kessels (born, 1996) obtained his B.Sc.-degree (with great appreciation) and M.Sc.-degree (with honours) in Mechanical Engineering from the Eindhoven University of Technology (TU/e), Eindhoven, the Netherlands, in 2017 and 2020, respectively. In 2018, he did an internship project at the Leibniz Universität in Hannover, Germany. Here, Kessels researched model reduction for models describing dynamic buckling of composite panels. Subsequently, he wrote his master’s thesis at the company ASML about an alternative, more efficient model order reduction method for models consisting of multiple components by using frequency-based substructuring techniques. In 2020, Kessels started as a doctoral candidate where he will focus on the autonomous model updating of mechanical system in (near) real-time. His current research interests are structural dynamics, model updating, machine learning technique, and flexible multibody dynamics.


Dive into the research topics where Bas M. Kessels is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or