you can log in with your student ID and pick up your print jobs or make copies and scans (scan to e-mail). (Locations: see below) Printing : To print , use the printer "Print Anywhere Konica Minolta " at
23, 92224 Amberg represented by the President Prof. Dr. med. Clemens Buitta Tel. +49-9621-482-0 Email: Info @ oth-aw . de Name and contact details of the data protection officer (Art. 13 para. 1 lit b [...] as well as the Higher Education Statistics Act (HStatG). The legal basis for storing your private email address and private telephone contact data is Art. 6 Para. 1 Lit. f Legal basis: Your private contact [...] etc. to process them efficiently in a way that experience has shown is not possible via the OTH email accounts. Since we only use your private contact data internally, only pass it on to authorised service
computer amount of data transferred Communication If you communicate a concern or an opinion to us by e-mail, post, telephone, fax or social media, the information provided will be processed for the purpose [...] leaving. Log files Are usually kept as personal data for a maximum of seven days. Communication Mail, emails and social media posts and messages will be deleted 6 years after the end of the year in which the [...] visit. If you have any questions, in addition to the data protection officers, you can also write an e-mail to: webmaster @ oth-aw . de .
to OTH Amberg-Weiden is only possible online. If you follow the instructions, you will receive an e-mail with a link where you can track the status of your application. You can also find the application
https://www.oth-aw.de/en/neumann/about/ Hours: Currently: Wednesdays 10:00 - 11:00 by appointment (email). Preferred via BBB in my digital office (https://bbb.oth-aw.de/rooms/neu-raf-bvj-4n2/join). Google
de https://www.oth-aw.de/en/meiller/prof-dr-dieter-meiller/ Hours: Online by prior arrangement via e-mail Meeting room: https://vconf.oth-aw.de/meiller Subject area: Media Informatics Research areas: Web
Professor Department of Electrical Engineering, Media and Computer Science
Professor
Telefon: +49 (9621) 482-3649
p.levi
@oth-aw.de
Lehrgebiet(e): Maschinelles Lernen für industrielle Anwendungen
Forschungsgebiet(e):
Forschungsthemen
- KI Sicherheit, KI Hacking
- Security Analysen und Red Teaming für KI Anwendungen
- Chatbots und Informationsmanagement (Große Sprachmodelle, Neuronale Netzwerke auf Graphen)
- Zeitreihenanalysen (z.B. Sensor- oder Maschinendaten, Ausfallvorhersagen)
Projekte
Details folgen in den kommenden Wochen...
Abschlussarbeiten
Abschlussarbeiten (Bachelor/Maser) zu verschiedenen Themen im Bereich KI Security und Chatbots verfügbar. Sie finden alle meine Arbeiten im AVIS Portal oder kontaktieren Sie mich gerne per E-Mail.
Zum Profil
