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Markus Enzweiler

Faculty Computer Science and Engineering

Prof. Dr. rer. nat. Markus Enzweiler

Functions

Head of Lab signal processing

subjects

Autonomous Intelligent Systems, Robotics, Computer Vision, Deep Learning

special functions

Ambassador of the German Informatics Society (Gesellschaft für Informatik) at Esslingen University of Applied Sciences. 

consultation hours

Friday 11:00 - 12:00 (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

 

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.

more information

Please contact me regarding student projects and theses in the fields of autonomous systems, computer vision, and deep learning.  

Apply for summer semester 2023!

The application phase for the summer semester 2023 begins on October 15th 2022.

Start in the winter semester 2022/2023:  Direct enrolment in our open-admission programmes until 15 September 2022.

More information