Education & Experience

• Research on machine learning (AI) concepts and algorithms with consideration of requirements and potential use-cases in the aerospace domain
• Leading research projects on using AI and Data Science to address challenges across the spectrum of Airbus’ business units and activities by providing input to the development of future products (n+2)
• Collaborating and coordinating with AI research groups and institutes outside Airbus
• Airbus representative on DFKI – German Research Center for Artificial Intelligence supervisory board

• Research on data-driven models using machine learning (AI) for audio-visual content under-standing and applications of deep learning in broadcasting/streaming and video processing
• Development lead for platforms for audio-visual (social media) content analysis in editorial use, SmartTV-based user engagement assessment, and scalable second-screen framework
• Evaluation and benchmarking of cognitive services for use in public service media and of synchronisation delays in companion-screen primary-screen interaction
• Data science and machine learning consulting for public service media in D-A-CH (up to C-level)
• Contributing to strategic planning at European level for use of AI/Big Data in the (public service) media sector via EBU working groups and in EC context

Research Engineer & Project Manager 
R&D area Media Services and Platforms (12/2013-02/2016)

• Project coordinator of the Brazilian-European research project GLOBAL ITV (definition of a global interactive TV system), successful managing the research agenda and cooperation between 18 international partners from industry and academia
• Research on coexistence and interoperability of SmartTV systems, especially adapting the DVB-based HbbTV to other broadcasting systems and designing of migration concepts towards HTML5, web-based systems
• Development of HbbTV broadcast chain prototype for ISDB-T_b

• Methods, algorithms, and underlying concepts for using deep learning to extract information from audio, visual, and textual content with an introduction to relevant frameworks

Quality of Experience (QoE) (2017-2018)

•  Concepts and applications of QoE: algorithms/assessment methodologies with a focus on audio-visual stimuli in multimedia systems/services and on the use of machine learning methods in this context

  Digital broadcast engineering (2015-2016)

• Covering both traditional linear digital broadcasting technology i.e. DVB, non-linear broadcasting via (adaptive) streaming e.g. DASH and interactive/Smart TV

• Research on image and video processing with a focus on the influence of video processing algorithms on the visual quality (QoE), using multi-way (tensor) data analysis and machine learning methods for modelling this influence and crowdsourcing for QoE assessment
• Design and implementation of computer vision and video processing algorithms for feature extraction and quality prediction (MATLAB, C/C++)
• Planning and setting-up of the laboratory for visual quality assessment, performing experiments for industry and standardisation (MPEG/ITU-T)
• Deputy work group leader and member of management committee in EU COST project IC1003 Qualinet on QoE in multimedia systems and services

• Focus on video processing and data analysis/machine learning
• Thesis: “Design of Video Quality Metrics with Multi-way Data Analysis”

• Focus on communication networks, particularly peer-to-peer (P2P) networks
• Thesis: “Scalable and efficient search algorithms for P2P systems”

• Focus on information and communication technology
• Thesis: “Thesis: “SDL specification of the LKN Chord Simulator”, ”