Dr. Matthias Kahl (Machine
Learning engineer)

I received the Dipl.-Inf.(FH) degree in Computer Science at the University of Applied Science Schmalkalden with the specialization of intelligent information systems in 2010. From 2010-2014 I worked in energy forecasting (on the producer side) in the industry. From 2015-2019, I completed my Ph.D at the Technical University of Munich in the field of Energy Informatics, Energy Information Retrieval and Non-Intrusive Appliance Recognition. After the Ph.D I worked in computer vision for quality control in the industry for one year and started in 2020, a postdoctoral research position at the AI4EO Future Lab, a collaborative project with DLR at the Chair for Data Science in Earth observation of the Technical University of Munich. The current research fields include AI driven population density estimation, mining site detection. My research interests include
● Classical Machine Learning & Representation Learning
● Computer Vision
● Music Information Retrieval
● Time Series Prediction and Event Detection
● Strong AI