Our Profile

Welcome to the intelligent future! Our world is currently undergoing rapid changes. The integration of intelligent systems into our daily lives holds unprecedented importance. From autonomous vehicles that transport us safely from A to B, to intelligent assistants, these systems have become indispensable. Integral to our modern existence, they shape how we work, communicate, and influence our world. But what makes intelligent systems so crucial? They can artificially replicate human decision-making processes using data-processing algorithms that analyze and understand information from various sources such as images, speech, or texts. This capability opens up a realm of new possibilities and marks a revolution in how we interact with technology.

In this context, the Institute for Intelligent Systems (IIS) was newly established in 2023 at the Faculty of Computer Science and Engineering at Esslingen University of Applied Sciences. At the Flandernstra?e campus, we research and develop new algorithms in the fields of autonomous systems and artificial intelligence.

Our primary areas of focus are:

  • Signal Processing (camera, LiDAR, radar, etc.)
  • Machine Learning for Industrial Applications
  • Autonomous and Cooperative Robotics
  • Autonomous Driving and Driver Assistance Systems
  • Efficient Embedded Systems
  • Analysis of Time-Series Data and Anomaly Detection

Simon Doll
Scene Understanding @ Mercedes-Benz R&D, supervised by Prof. Hendrik P.A. Lensch (University of Tübingen) and Prof. Markus Enzweiler (IIS)


Felix Embacher
Scene Understanding @ Mercedes-Benz R&D, supervised by Prof. Markus Enzweiler (IIS)


Victor Kallenbach
Safe Perception @ Spleenlab GmbH, supervised by Prof. Markus Enzweiler (IIS)


Kadir ?zer
Big Data & AI @ Mercedes-Benz R&D, supervised by Prof. Markus Enzweiler (IIS)


Luis Diener
Ego Motion Estimation @ Mercedes-Benz R&D, supervised by Prof. Markus Enzweiler (IIS)

Prof. Dr. Alexander Brandt
Alexander was a postdoc in the HE-Personal project within the "Autonomous Systems" cluster at IIS from 2021 to 2023. Since 2023 he has been a Professor of Data Science and Digital Technologies at DHBW Stuttgart.  


Dimitrios Lagamtzis
Dimi was a doctoral candidate at IIS until 2023 (supervised by Prof. Christoph Stiller (KIT) and Prof. Thao Dang (IIS)) in the field of human-robot collaboration in intelligent robotics. Since 2023, he has been a Machine Learning Engineer at Mercedes-Benz AG in the driver assistance / autonomous driving division. He remains affiliated with us as a visiting lecturer.

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Interested? Apply now! for the summersemester 2025

Your personal contactContact us

Prof. Dr. rer. nat. Gabriele Gühring

Tel: +49 711 397-4376
E-Mail: Gabriele.Guehring@hs-esslingen.de
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