Scholar
Simon Schrodi
Google Scholar ID: yC-y0PEAAAAJ
PhD student, University of Freiburg
Citations & Impact
Citations
242
H-index
8
i10-index
8
Publications
17
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Won 2nd place in the CVPR 2021 - NAS Competition Track 3.
Research Experience
- PhD research focuses on explainable machine learning at the University of Freiburg. During his master's studies, he also participated in the CVPR 2021 - NAS Competition Track 3, where they won 2nd place.
Education
- BEng in Computer Engineering (1.2, equal to A) from DHBW Karlsruhe as part of a dual study program at SICK AG, where he worked on deep learning solutions for sensor systems used in the logistics industry. MSc (summa cum laude, 1.0, equal to A) in Computer Science from the University of Freiburg, during which he researched the robustness of optical flow networks and automated machine learning.
Background
- 4th year PhD student at the University of Freiburg, working in the area of explainable machine learning, advised by Prof. Thomas Brox. Research interests include understanding how neural networks work, automated machine learning, robustness, and machine learning for climate science.
Miscellany
- Personal interests include making music and staying active. Plays accordion in a local orchestra and occasionally in project orchestras. Enjoys running, hiking, and traveling.
Co-authors