TA List

TAs Summer Semester 2017

  • IP: Daniel Tanneberg
  • Machine Learning: Simone Parisi and Marco Ewerton

TAs Winter Semester 2017/2018

  • IP: Boris Belousov
  • Robot Learning: Marco Ewerton and Daniel Tanneberg

TAs Summer Semester 2018

  • IP: Hany Abdulsamad
  • Machine Learning: Daniel Tanneberg and Boris Belousov
  • Projektkurs Computational Engineering: Dorothea Koert and Svenja Stark

TAs Winter Semester 2018/2019

  • Robot Learning + IP + Seminar: Boris Belousov and Hany Abdulsamad

TAs Summer Semester 2019

  • IP: Michael Lutter
  • Machine Learning: Hany Abdulsamad, Dorothea Koert and Svenja Stark

TAs Winter Semester 2019/2020 (no lectures)

  • IP: Joe Watson

TAs Summer Semester 2020

  • IP: Tuan Dam
  • Machine Learning Computational Engineering (German!): Svenja Stark, Pascal Klink, Joao Carvalho, Puze Liu

TAs Winter Semester 2020/2021

  • IP: Julen Urain
  • Robot Learning (+ MOOC): Joe Watson, Joao Carvalho, Julen Urain, Tuan Dam

TAs Summer Semester 2021

  • IP: Pascal Klink
  • Computational Engineering (German!): Pascal Klink, Joao Carvalho, Puze Liu, Kai Ploeger

TAs Winter Semester 2021/2022

  • IP: Puze Liu
  • Robot Learning: Joe, Niklas, Julen, Tuan

TAs Summer Semester 2022

  • IP: Joao Carvalho
  • Computational Engineering: Kai Ploeger, Firas Al-Hafez, Tim Schneider, Kay Hansel, Daniel Palenicek
  • Statistical Machine Learning: Snehal Jauhri, Ali Younes
  • Reinforcement Learning: An Thai Le, Ahmed Hendawy

TAs Winter Semester 2022/2023

  • IP: Niklas Funk
  • Robot Learning: Niklas Funk, Kay Hansel, Tim Schneider, Jacqueline Ritter, David Rother

TAs Summer Semester 2023

  • IP: Junning Huang
  • Statistical Machine Learning: Daniel Palenicek, An Thai Le, Theo Gruner, Maximilian Tölle, Théo Vincent
  • Reinforcement Learning: Ahmed Hendawy, Aryaman Reddi (+ Ali, Gabriele)

TAs Winter Semester 2023/2024

  • IP: Lisa Scherf
  • Robot Learning: Firas Al-Hafez, Maximilian Tölle, Berk Gueler, Nico Bohlinger, Michael Drolet, Paul Jansonie

TAs Summer Semester 2024

  • IP: Kay Hansel
  • Statistical Machine Learning (Offline Semester): Theo Gruner, An Thai Le, Daniel Palenicek, Maximilian Tölle, Théo Vincent
  • Probabilistic Method of Computer Science (Preparation): Kay Hansel, Theo Gruner, Daniel Palenicek, Nico Bohlinger, Firas Al-Hafez, Maximilian Tölle, Leon Keller, David Rother
  • Reinforcement Learning: Pearl guys + Theo Vincent, Aryaman Reddi

TAs Winter Semester 2024/2025

  • IP: An Thai Le
  • Probabilistic Method of Computer Science: Theo Gruner, Nico Bohlinger, Paul Jansonie, Lucas Schulze

TAs Summer Semester 2025

  • IP: Daniel Palenicek
  • Robot Learning: David Rother, Leon Keller

TAs Winter Semester 2025/2026

  • IP: David Rother
  • Probabilistic Method of Computer Science: ???
  • Robot Learning: ???