Sebastian Houben is a professor and team lead with 13 years of experience building and deploying deep learning, computer vision, and robotics systems for research and industry. He leads the Multi-modal Foundation Models group at Fraunhofer IAIS while holding a professorship in Autonomous Systems and Machine Learning at Hochschule Bonn-Rhein-Sieg, focusing on bringing vision-language foundation models into close-to-industry applications. His background spans real-time image processing, visual SLAM, and safe AI—work that includes competitive autonomous-robotics achievements and collaborations with the automotive sector. Sebastian combines academic rigor (Dr.-Ing., summa cum laude) with hands-on product and project leadership, having led small research teams to operationalize AI in safety-critical contexts. He is adept at translating cutting-edge multi-modal research into robust, deployable systems and curriculum for the next generation of engineers. A practical mathematician by training, he often bridges theoretical insight and engineering constraints to accelerate adoption of foundation models in applied settings.
13 years of coding experience
1 year of employment as a software developer
Mathematisch-Technischer Assistent (IHK), Ausbildung zum Mathematisch-Technischen Assistenten (IHK), sehr gut, Mathematisch-Technischer Assistent (IHK), Ausbildung zum Mathematisch-Technischen Assistenten (IHK), sehr gut at Forschungszentrum Jülich
Vordiplom, Technomathematik, sehr gut, Vordiplom, Technomathematik, sehr gut at Fachhochschule Aachen
Dr.-Ing., Informatik / Mathematik (Videobasierte Fahrerassistenz), Summa cum laude, Dr.-Ing., Informatik / Mathematik (Videobasierte Fahrerassistenz), Summa cum laude at Ruhr-Universität Bochum
Diplom, Mathematik mit Nebenfach Informatik, sehr gut, Diplom, Mathematik mit Nebenfach Informatik, sehr gut at Fernuniversität in Hagen
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