Lukas Schmidt

Lukas Schmidt

External PhD Candidate

• Email: lukas.schmidt@iis.fraunhofer.de

• Twitter: Page of Lukas Schmidt
• LinkedIn: Page of Lukas Schmidt

Academic CV

• From 2021: PhD Candidate at the Machine Learning & Data Analytics Lab, FAU Erlangen-Nuremberg
• From 2020: Research Staff at the Fraunhofer-Institut für Integrierte Schaltungen IIS
• 2019: Research Assistant at the Machine Learning and Information Fusion Group, Fraunhofer IIS
• 2019: Working Student at Capgemini
• 2017-2019: M.Sc. Informatik, FAU Erlangen-Nürnberg
• 2013-2017: B.Sc. Mechatronics, FAU Erlangen-Nürnberg

Teaching

• Reinforcement Learning – Summer Semester 2021

Publications

• Accepted, not yet published:
  Schmidt L. M., Kontes G., Plinge A., Mutschler C.:
  Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning
  In: 2021 IEEE Intelligent Vehicles Symposium (IV)

Theses

• How far is far? Evaluation, Visualization, and Interpretation of RNNs on Physically Correct Movements
  Supervisors: Feigl T., Christopher M., Philippsen M.
  Link