Leading and proposing research projects on using AI/Machine Learning to address challenges across the spectrum of Airbus’ business units and activities by providing input to the development of future (n+2) products and processes. I’m interested in tackling new challenges, also going beyond my comfort zone.
I have experience in coordinating and leading international research activities, both inside a corporate structure and in a collaborative environment, often contributing to strategic planning activities. In addition, I have in-depth knowledge in AI/Machine Learning, explorative data analysis and image and video processing algorithms, with a focus on visual information processing and graph-like structures.
Besides my day job at Airbus, I’m also contributing to the education of the next generation of researchers as a part-time lecturer for Applied Machine Intelligence/Deep Learning for Multimedia at Technische Universität München (TUM).
Working at TUM’s Institute for Data Processing , I received a Dr.-Ing. (~PhD) degree in electrical engineering and information technology for my thesis on the application of multi-way (tensor) data analysis/machine learning methods in the context of QoE prediction models.
Dr.-Ing. (PhD) in electrical engineering and information technology, 2014
Technische Universität München (TUM)
Most recent experience, more here
Airbus AI Research - Part of Central Research & Technology (CRT)
Applied Machine Intelligence / Deep Learning for Multimedia (part-time) (since 2019)
Quality of Experience (QoE) (2017-2018)
Digital broadcast engineering (2015-2016)
R&D area Data and Security (since 03/2016)
Topics - Current and past
Current and past courses