Felix Kronenwett

PhD Candidate at KIT (ISAS) · Research Associate at Fraunhofer IOSB

I develop machine learning methods for visual inspection and sensor-based sorting. My doctoral research at KIT's Intelligent Sensor-Actuator-Systems Laboratory (ISAS) focuses on Bayesian deep learning – models that quantify the uncertainty of their own predictions and stay reliable under changing real-world conditions.

• Probabilistic Machine Learning
• Bayesian Deep Learning
• Uncertainty Quantification
• Computer Vision
• Hyperspectral Imaging
• Sensor-Based Sorting
• Real-Time Systems
• Sustainable Recycling & Agriculture