Albert Schotschneider: Unterschied zwischen den Versionen
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Kc2837 (Diskussion | Beiträge) |
Kc2837 (Diskussion | Beiträge) |
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|Vorname=Albert | |Vorname=Albert | ||
|Nachname=Schotschneider | |Nachname=Schotschneider | ||
| − | |Akademischer Titel=M.Sc. | + | |Akademischer Titel=M. Sc. |
|Forschungsgruppe=Angewandte Technisch-Kognitive Systeme | |Forschungsgruppe=Angewandte Technisch-Kognitive Systeme | ||
|Stellung=FZI-Mitarbeiter | |Stellung=FZI-Mitarbeiter | ||
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|Bild=Schotschneider_Albert_small.jpg | |Bild=Schotschneider_Albert_small.jpg | ||
|Info=<br> | |Info=<br> | ||
| − | Albert Schotschneider studied computer science and autonomous systems at the Technical University of Darmstadt. Since 2021, he | + | Albert Schotschneider studied computer science and autonomous systems at the Technical University of Darmstadt. Since 2021, he has been a research assistant at the FZI Research Center for Information Technology Karlsruhe in the department of Technical Cognitive Systems. His research interests are monitoring of Deep Neural Networks, among others, in autonomous driving using machine learning methods and deep learning methods. |
| − | |||
<br> | <br> | ||
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=== Open Bachelor/Master Theses === | === Open Bachelor/Master Theses === | ||
<ul> | <ul> | ||
| − | <li>Detecting | + | <li>AI-Based Approaches for Detecting Model Failures in V2X-Based Communication on the TAF-BW</li> |
| + | <br /> | ||
| + | <li>Deep Learning-Based Methods for Detecting Model Failures in Autonomous Driving</li> | ||
| + | <br /> | ||
| + | <li>Safety Runtime Monitoring of Deep Neural Networks in Perception</li><br/> | ||
</ul> | </ul> | ||
| + | <br/> | ||
| + | |||
| + | |||
| + | <hr> | ||
| + | <center> | ||
| + | <b>Interested in another similar topic?</b> | ||
| + | </center> | ||
| + | If you are interested in Safety and Runtime Monitoring of DNNs and other Machine Learning Models, or have a similar topic in mind, don't hesitate to drop me an email with your CV, Grades, and a few sentences, why you are a good fit! <br /> | ||
| + | <hr> | ||
|Info EN==== More Information [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/albert-schotschneider/ FZI Homepage] === | |Info EN==== More Information [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/albert-schotschneider/ FZI Homepage] === | ||
|Publikationen anzeigen=Nein | |Publikationen anzeigen=Nein | ||
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|Organisation=AIFB, KIT | |Organisation=AIFB, KIT | ||
|Abschlussarbeiten anzeigen=Ja | |Abschlussarbeiten anzeigen=Ja | ||
| + | }} | ||
| + | {{Forschungsgebiet Auswahl | ||
| + | |Forschungsgebiet=Deep Learning | ||
| + | }} | ||
| + | {{Forschungsgebiet Auswahl | ||
| + | |Forschungsgebiet=Maschinelles Lernen | ||
}} | }} | ||
Aktuelle Version vom 2. Mai 2024, 12:06 Uhr
-
M. Sc. Albert Schotschneider
- FZI-Mitarbeiter
- Email: Schotschneider∂fzi de
- Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
-
FZI Forschungszentrum Informatik
Haid-und-Neu-Straße 10-14
76131 Karlsruhe - vCard
Albert Schotschneider studied computer science and autonomous systems at the Technical University of Darmstadt. Since 2021, he has been a research assistant at the FZI Research Center for Information Technology Karlsruhe in the department of Technical Cognitive Systems. His research interests are monitoring of Deep Neural Networks, among others, in autonomous driving using machine learning methods and deep learning methods.
Open Hiwi Positions
Open Bachelor/Master Theses
- AI-Based Approaches for Detecting Model Failures in V2X-Based Communication on the TAF-BW
- Deep Learning-Based Methods for Detecting Model Failures in Autonomous Driving
- Safety Runtime Monitoring of Deep Neural Networks in Perception
Interested in another similar topic?
If you are interested in Safety and Runtime Monitoring of DNNs and other Machine Learning Models, or have a similar topic in mind, don't hesitate to drop me an email with your CV, Grades, and a few sentences, why you are a good fit!
Abschlussarbeiten
Forschungsgebiete