Profile
- Experience in coordinating and leading international research projects, Dr.-Ing. (PhD) degree in electrical engineering and information technology
- Designing and implementing data-driven machine learning/AI models for use-cases in the aerospace domain and audio-visual content understanding
- Creating innovative concepts and methods for determining the influence of video processing algorithms on the human quality perception
- In-depth knowledge of explorative data analysis methods and machine learning, linear and non-linear broadcasting technology, interactive TV and image and video processing
Work Experience
since 09/2019 | Airbus Research Project Leader AI Airbus AI Research - 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
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12/2013-07/2019 | IRT – Institut für Rundfunktechnik GmbH Machine learning team lead R&D area Data and Security (since 03/2016) - 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-Tb
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since 04/2015 | Lecturer (part-time) Technische Universität München (TUM) Deep learning for multimedia (since 2019) - 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
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09/2007-09/2013 | Research Assistant Technische Universität München (TUM), Institute for Data Processing - 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
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09/2007-09/2010 | Academic advisor (50% position) Technische Universität München (TUM), Department of Electrical Engineering and Information Technology |
04/2007-08/2007 | Research Assistant (50% position) Technische Universität München (TUM), Institute for Data Processing |
10/1999-07/2005 | Student trainee in sales department „Financial Sector” and customer support centre Siemens AG, Communications |
11/1998-09/1999 | Service specialist Siemens Telekommunikations Service GmbH & Co. OHG |
09/1997-10/1998 | Zivildienst Innere Mission München |
03/1997-09/1997 | Service specialist Siemens AG |
Education
09/2007-05/2014 | Dr.-Ing. (PhD) in electrical engineering and information technology Technische Universität München (TUM) - Focus on video processing and data analysis/machine learning
- Thesis: “Design of Video Quality Metrics with Multi-way Data Analysis”
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10/2001-03/2007 | Diploma degree (~MSc.) in electrical engineering and information technology Technische Universität München (TUM) - Focus on communication networks, particularly peer-to-peer (P2P) networks
- Thesis: “Scalable and efficient search algorithms for P2P systems”
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07/2005-12/2005 | Exchange Semester at School of Computing of the National University of Singapore |
10/2001-09/2005 | Bachelor degree (BSc.) in electrical engineering and information technology Technische Universität München (TUM) - Focus on information and communication technology
- Thesis: “Thesis: “SDL specification of the LKN Chord Simulator”, ”
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10/1999-09/2001 | University entrance qualification from technical college for further education Marian-Batko-Berufsoberschule München |
09/1993-02/1997 | Apprenticeship with Siemens AG as communication electronics technician |
Awards
Languages
German | Native speaker |
English | Full professional proficiency (CEFR C2 – Cambridge CPE, grade A) |
For more details, check my LinkedIn profile.