Albert Schotschneider: Unterschied zwischen den Versionen
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{{Mitarbeiter | {{Mitarbeiter | ||
+ | |Vorname=Albert | ||
+ | |Nachname=Schotschneider | ||
+ | |Akademischer Titel=M. Sc. | ||
+ | |Forschungsgruppe=Angewandte Technisch-Kognitive Systeme | ||
+ | |Stellung=FZI-Mitarbeiter | ||
|Ehemaliger=Nein | |Ehemaliger=Nein | ||
+ | |Email=Schotschneider@fzi.de | ||
+ | |Hinweis DE='''FZI Forschungszentrum Informatik'''<br />Haid-und-Neu-Straße 10-14<br />76131 Karlsruhe | ||
+ | |Hinweis EN='''FZI Research Center for Information Technology'''<br />Haid-und-Neu-Straße 10-14<br />76131 Karlsruhe | ||
+ | |Bild=Schotschneider_Albert_small.jpg | ||
+ | |Info=<br> | ||
+ | Albert Schotschneider studied computer science and autonomous systems at the Technical University of Darmstadt. Since 2021, he is a research assistant at the FZI Research Center for Information Technology Karlsruhe in the department for Technical Cognitive Systems. His research interests are performance assessment, misbehavior detection, and model-failure detection of driving components in autonomous driving using machine learning methods. | ||
+ | |||
+ | <br> | ||
+ | |||
+ | === Open Hiwi Positions === | ||
+ | |||
+ | |||
+ | === Open Bachelor/Master Theses === | ||
+ | <ul> | ||
+ | <li>AI-Based Approaches for Detecting Model Failures in V2X-Based Systems</li> | ||
+ | <br /> | ||
+ | <li>Deep Learning-Based Methods for Detecting Model Failures Autonomous Driving</li> | ||
+ | <br /> | ||
+ | <li>Analysis of Machine Learning Methods and Models for Threat Detection in V2X-Based Systems</li><br/> | ||
+ | </ul> | ||
+ | <br/> | ||
+ | |||
+ | |||
+ | <hr> | ||
+ | <center> | ||
+ | <b>Interested in another similar topic?</b> | ||
+ | </center> | ||
+ | If you are interested in one of these topics (Safety-Validation, Model-Failure Detection) or have a similar topic in mind, don't hesitate to drop me an email with your CV and a few sentences, why you are a good fit! <br /> | ||
+ | Also, I offer Hiwi positions! | ||
+ | <hr> | ||
+ | |||
+ | |Info EN==== More Information [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/albert-schotschneider/ FZI Homepage] === | ||
|Publikationen anzeigen=Nein | |Publikationen anzeigen=Nein | ||
|Vorträge anzeigen=Nein | |Vorträge anzeigen=Nein | ||
|Organisation=AIFB, KIT | |Organisation=AIFB, KIT | ||
− | |Abschlussarbeiten anzeigen= | + | |Abschlussarbeiten anzeigen=Ja |
+ | }} | ||
+ | {{Forschungsgebiet Auswahl | ||
+ | |Forschungsgebiet=Deep Learning | ||
+ | }} | ||
+ | {{Forschungsgebiet Auswahl | ||
+ | |Forschungsgebiet=Maschinelles Lernen | ||
}} | }} |
Aktuelle Version vom 14. November 2023, 15:49 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 is a research assistant at the FZI Research Center for Information Technology Karlsruhe in the department for Technical Cognitive Systems. His research interests are performance assessment, misbehavior detection, and model-failure detection of driving components in autonomous driving using machine learning methods.
Open Hiwi Positions
Open Bachelor/Master Theses
- AI-Based Approaches for Detecting Model Failures in V2X-Based Systems
- Deep Learning-Based Methods for Detecting Model Failures Autonomous Driving
- Analysis of Machine Learning Methods and Models for Threat Detection in V2X-Based Systems
Interested in another similar topic?
If you are interested in one of these topics (Safety-Validation, Model-Failure Detection) or have a similar topic in mind, don't hesitate to drop me an email with your CV and a few sentences, why you are a good fit!
Also, I offer Hiwi positions!