Daniel Korth
Doctoral Student
Email: [email protected]
About me:
I am a Ph.D. student at INSAIT, supervised by Dr. Danda Pani Paudel and Prof. Luc Van Gool (starting September 2026). My research lies at the intersection of machine learning, computer vision, and robotics, with a focus on building systems that can perceive, reason, and act robustly in the real world.
Previously, I completed my B.Sc. and M.Sc. at the Technical University of Munich (TUM), where I worked on 3D vision.
You can find me on:
Education
- Technical University of Munich (TUM), Germany, April 2023 – July 2026
M.Sc. in Data Engineering and Analytics
- Technical University of Munich (TUM), Germany, September 2019 – March 2023
B.Sc. in Information Systems
Relevant Experience
- Summer Research Fellow, ETH Zurich, Computer Vision and Geometry group
Zurich, Switzerland, July 2025 – August 2025 - Research Intern, Korea Advanced Institute of Science and Technology (KAIST), Visual AI group
Seoul, South Korea, February 2024 – June 2024 - Data Scientist, Burda Forward
Munich, Germany, April 2023 – July 2023 - Research Assistant, Fraunhofer IKS
Munich, Germany, October 2022 ‑ February 2023
Publications:
Nicola Franco, Daniel Korth et al. (2023) ”Diffusion Denoised Smoothing for Certified and Adversarial Robust Out‑Of‑Distribution Detection”. AISafety Workshop at IJCAI 2023
