About

I’m leading the Machine Learning (AI) team within the R&D area Data and Security at IRT – Institute for Broadcasting Technology. I focus on the utilisation of machine learning for audio-visual content understanding and applications of deep learning in broadcasting and streaming, leveraging also my experience in image and video processing. I’m also a Lecturer for Deep Learning for Multimedia at Technische Universität München (TUM).

My research interests include applications of data-driven models using machine learning for audio-visual content understanding,  audio-visual content distribution network optimisation, and predicting visual quality, especially using multi-way/tensor models. In addition, I dabble into data science, QoE for video, crowdsourcing, and interactive TV / SmartTV .

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.

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