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Florian Thamm, M. Sc.

  • Job title: Researcher
  • Organization: Department of Computer Science
  • Working group: Chair of Computer Science 5 (Pattern Recognition)
  • Phone number: +49 9131 85 27826
  • Fax number: +49 9131 85 27270
  • Email: florian.thamm@fau.de
  • Website:
  • Address:
    Martensstr. 3
    91058 Erlangen
    Room 09.158
  • Office hours: Weekly Mon, Tue,

  • Since 11/2019
    Ph.D Student at Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg
  • 04/2017 – 10/2019
    M.Sc. Computer Science, 1.1, Friedrich-Alexander-Universität Erlangen-Nürnberg
  • 10/2013 – 03/2017
    B.Eng. Medical Engineering, 1.4, Technische Hochschule Nürnberg

Siemens Healthcare GmbH, Forchheim 

  • Since 11/2019
    Ph.D. Student
    CT R&D CTC SA
  • 03/2019 – 09/2019
    Master’s Thesis Student
    CT R&D CTC SA
  • 03/2017 – 09/2019
    Working Student
    CT R&D APP ALG
  • 10/2016 – 04/2017
    Bachelor’s Thesis Student
    AT R&D APP RH
  • 03/2016 – 10/2016
    Working Student
    AT R&D APP REC
  • 10/2015 – 03/2016
    Intern
    AT R&D APP REC

Friedrich-Alexander-University

  • Since 01/2020
    Research Assistant for CTA Image Analysis
    Exercise Instructor of the Deep Learning Course
  • 10/2018 – 12/2020
    Teaching Assistant, Exercise Instructor of the Deep Learning Course

Technische Hochschule Nürnberg

  • 03/2015 – 10/2015
    E-Learning Tutor
  • 10/2014 – 10/2015
    Teaching Assistant

Will follow soon. Promised 🙂 ….

No projects found.

2020

Conference Contributions

2019

Book Contributions

Conference Contributions

Vorlesung (VORL)

  • Deep Learning

    Information regarding the online teaching will be added to the studon course

    • Tue 12:15-13:45, Room H4

Übung (UE)

  • Deep Learning Exercises

    This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again. Information regarding the online teaching will be added to the studon course

    • TÜbung (UE) 18:00-20:00, Room 0.01-142 CIP
    • Mon 12:00-14:00, Room 0.01-142 CIP
    • Fri 8:00-10:00, Room 0.01-142 CIP
    • Wed 16:00-18:00, Room 0.01-142 CIP
    • Thu 14:00-16:00, Room 0.01-142 CIP