![Portrait image of Michael Schultz](https://appliedmldays.org/rails/active_storage/blobs/eyJfcmFpbHMiOnsibWVzc2FnZSI6IkJBaHBBaG9DIiwiZXhwIjpudWxsLCJwdXIiOiJibG9iX2lkIn19--6ae494642640937e9993c7686107663052336e0d/Michael%20Schultz.png)
Michael Schultz is principle investigator and senior researcher at TU Dresden, Institute of Logistics and Aviation. He was Head of the Air Transportation Department at the German Aerospace Center (2014-2019). He holds a PhD in Aviation Engineering (2010) and obtains his Habilitation for Aviation/Aerospace (2019). His research focus on data-driven (machine learning) and model-based approaches to improve air traffic management. In particular, he researches on dynamic, flow-centric management of airspaces, inter-airport coordination, performance-based airport operations, and advanced concepts for the future air (urban) traffic management.