Contact
Informatik und Informationstechnik Prof. Dr. rer. nat. Markus Enzweiler
Markus.Enzweiler[at]hs-esslingen.de
Address
Campus Esslingen Flandernstraße
Room:
F 01.450
Flandernstraße 101
73732 Esslingen
Functions
Laborleitung Labor Signalverarbeitung
subjects
Autonomous Intelligent Systems, Robotics, Computer Vision, Deep Learning
special functions
- Director of the Institute for Intelligent Systems
- Ambassador of the German Informatics Society (Gesellschaft für Informatik) at Esslingen University of Applied Sciences.
consultation hours
Friday 13:00 - 14:00 (please make an appointment if possible) and whenever my door is open.
vita
Career
2001 - 2003: Bonn-Rhein-Sieg University of Applied Sciences, undergraduate studies in Computer Science (BSc)
2002 - 2003: York University, Toronto, Centre for Vision Research, undergraduate and graduate studies in Computer Science (BSc, MSc)
2004 - 2005: Ulm University, graduate studies in Computer Science (BSc)
2006 - 2011: Heidelberg University, doctorate degree at the Faculty of Mathematics and Computer Science (Dr. rer. nat.)
2010 - 2021: Daimler AG / Mercedes-Benz AG Research & Development, sensor-based environment perception for driver assistance systems and autonomous driving
Since 03/2021: Professor for Autonomous Mobile Systems at Esslingen University of Applied Sciences
Since 2023: Director of the Institute for Intelligent Systems
Achievements
2003 - 2009: Scholar of the Studienstiftung des deutschen Volkes (German National Merit Foundation)
2012: IEEE intelligent Transportation Systems Society, Best PhD Dissertation Award
2012: Uni-DAS Research Award for an outstanding PhD thesis in the field of driver assistance systems
2013: German Association for Pattern Recognition, Main Prize
2014: Junior-Fellow of the German Informatics Society (GI – Gesellschaft für Informatik)
2014: IEEE Intelligent Transportation Systems Society, Outstanding Application Award
2014: IEEE Intelligent Vehicles, Best Paper Award
2016: IEEE Intelligent Vehicles, Best Paper Award
2017: IGD Fraunhofer, Best Paper Award "Impact on Business"
publications
Please refer to Google Scholar.
Research interests
Computer Vision & Deep Learning, Multimodal Foundation Models, Mobile Robotics
more information
Please contact me regarding student projects and theses in the fields of autonomous systems, computer vision, and deep learning.
Personal webpage: https://markus-enzweiler.de
Interested? Apply now! for the summersemester 2025
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