Draft:Markus Enzweiler
Submission declined on 8 June 2025 by Sophisticatedevening (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
| ![]() |
Comment: Awards that are not actually notable should not be used. Most of these sources are also not actually about him either. Sophisticatedevening🍷(talk) 19:36, 8 June 2025 (UTC)
Markus Enzweiler (1979 in Merzig) is a German professor in the Department of Computer Science and Engineering at Esslingen University of Applied Sciences.[1] He founded and heads the Institute for Intelligent Systems (IIS) at that institution.[2]
Life and education
[edit]Markus Enzweiler studied computer science at Bonn-Rhein-Sieg University of Applied Sciences and at Ulm University, including a study abroad period at the Centre for Vision Research at York University in Toronto, Canada. His academic focus was on computer vision and artificial intelligence. He was a scholarship holder of the German Academic Exchange Service and completed his studies in 2005 with a Master's degree. In 2011, he received his doctorate (Dr. rer. nat.) from Heidelberg University with the dissertation Compound Models for Vision-Based Pedestrian Recognition[3] and was awarded summa cum laude. From 2010 to 2021, he worked at Mercedes-Benz AG in the development of advanced driver assistance systems and automated driving. During this time, his main focus was on sensor-based environment perception using machine learning.
In 2021, Markus Enzweiler has been appointed as a professor for autonomous systems in the Department of Computer Science and Engineering at Esslingen University of Applied Sciences. He is a Junior Fellow of the German Informatics Society[4], co-author of widely cited publications[5], and recipient of multiple awards in the field of advanced driver assistance systems.
Awards
[edit]- 2012: Uni-DAS Scientific Award[6]
- 2012: IEEE Intelligent Transportation Systems Best Dissertation Award[7]
- 2013: German Association for Pattern Recognition (DAGM) GCPR Main Paper Prize[8]
- 2014: IEEE Intelligent Transportation Systems Outstanding Application Award[9]
- 2014: IEEE Intelligent Vehicles Symposium, Best Paper Award
- 2016: IEEE Intelligent Vehicles Symposium, Best Paper Award[10]
- 2020: IEEE Intelligent Vehicles Symposium, Best Paper Award[11]
References
[edit]- ^ Esslingen University. "Markus Enzweiler". Retrieved 6 May 2025.
- ^ Esslingen University. "IIS - Institute for Intelligent Systems". Retrieved 6 May 2025.
- ^ Markus Enzweiler (2011). "Compound Models for Vision-Based Pedestrian Recognition". doi:10.11588/heidok.00012099. Retrieved 6 May 2025.
- ^ German Informatics Society (GI). "Junior Fellows - German Informatics Society" (in German). Retrieved 6 May 2025.
- ^ "Google Scholar - Publication List of Markus Enzweiler". Retrieved 6 May 2025.
- ^ "Uni-DAS e.V. – Scientific Award". Retrieved 6 May 2025.
- ^ Tom Duhamel. "IEEE ITS Best Dissertation Award". Retrieved 6 May 2025.
- ^ "DAGM GCPR (Awards)". Retrieved 6 May 2025.
- ^ "IEEE 2014 ITS Award Announcement [Society News]". IEEE Intelligent Transportation Systems Magazine. 7 (1): 120–122. 2015. doi:10.1109/MITS.2014.2374041. ISSN 1941-1197. Retrieved 6 May 2025.
- ^ "Best Paper Awards | 2016 IEEE Intelligent Vehicles Symposium". Retrieved 6 May 2025.
- ^ "Christoph Rist and colleagues win Best Paper Award at the IEEE Intelligent Vehicles Symposium 2020 | Intelligent Vehicles Group". Retrieved 6 May 2025.
- meet any of the eight academic-specific criteria
- or cite multiple reliable, secondary sources independent of the subject, which cover the subject in some depth
Make sure your draft meets one of the criteria above before resubmitting. Learn about mistakes to avoid when addressing this issue. If the subject does not meet any of the criteria, it is not suitable for Wikipedia.