Education & Experience

Picture of Christian Keimel
Picture of Christian Keimel
Picture of Christian Keimel

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 predicting visual quality, audio-visual content distribution network optimisation, 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 12/2013IRT – 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
since 04/2015Lecturer (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
09/2007-09/2013Research 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
09/2007-09/2010Academic advisor (50% position)
Technische Universität München (TUM), Department of Electrical Engineering and Information Technology
04/2007-08/2007Research Assistant (50% position)
Technische Universität München (TUM), Institute for Data Processing
10/1999-07/2005Student trainee in sales department „Financial Sector” and customer support centre
Siemens AG, Communications
 11/1998-09/1999Service specialist
Siemens Telekommunikations Service GmbH & Co. OHG
 09/1997-10/1998Zivildienst
Innere Mission München
 03/1997-09/1997Service specialist
Siemens AG

Education

09/2007-05/2014Dr.-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”
10/2001-03/2007Diploma 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”
07/2005-12/2005Exchange Semester at School of Computing of the
National University of Singapore
10/2001-09/2005Bachelor 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”, ”
 10/1999-09/2001University entrance qualification from technical college for further education
Marian-Batko-Berufsoberschule München
09/1993-02/1997Apprenticeship with Siemens AG as communication electronics technician

Awards

2017Best Paper Award at the ACM International Conference on Interactive Experiences for Television and Online Video (tvx) for the paper “On Time or Not on Time: A User Study on Delays in a Synchronised Companion-Screen Experience”
2014Survey of Web-based Crowdsourcing Frameworks for Subjective Quality Assessment” among  top 10% of accepted papers at IEEE International Workshop on Multimedia Signal Processing (MMSP)
2013Best Paper Runner-up Award at the IEEE International Symposium on Multimedia (ISM) for the paper “Towards an Evaluation of Denoising Algorithms with Respect to Realistic Camera Noise
Length Independent Refinement of Video Quality Metrics Based on Multiway Data Analysis” among  top 10% of accepted papers at IEEE International Conference on Image Processing (ICIP)
2011Best Student Paper Award at the International Workshop on Quality of Multimedia Experience (QoMEX) for the paper  “Design of No-Reference Video Quality Metrics with Multiway Partial Least Squares Regression
TUM student’s association best teaching award for the course “Digital Video
2001Scholarship of the Bavarian Government for talented students (BayBFG; ~top 0.5% of all students)
1997Distinction for outstanding results in the final examination of the apprenticeship

Languages

GermanNative speaker
EnglishFull professional proficiency (CEFR C2 – Cambridge CPE, grade A)

For more details, check my LinkedIn profile.

Optimization WordPress Plugins & Solutions by W3 EDGE