Carsten Knoll

Carsten studied Mechatronics at Dresden University of Technology until 2009 and received a PhD in Electrical Engineering in 2016 (Thesis: Analysis and Control of Underactuated Mechanical Systems). Currently he is a postdoc researcher in the field of control engineering. Apart from triple pendulum swing up problems and other control-challenges he is interested in representing knowledge of the fields of mathematics and engineering in a formal way and on top of that building tools to make this knowledge easier accessible.

Among other courses, Carsten teaches "Python for Engineers" since 2010. From his viewpoint Python has big potential in spreading semantic technologies and ontological thinking, as it has been the case with neural networks and other methods of numerical AI.

Carsten has contributed some small patches to Owlready (currently the only published Python package for ontology handling) and maintains a [https://github.com/cknoll/semantic-python-overview list of projects with relations to both python and semantic technologies]