12th FOKUS
Media Web Symposium

June 24–25, 2025 – Berlin
© AI-generated | Fraunhofer FOKUS

Christopher Krauß

Media & Data Science Lead

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Fraunhofer FOKUS

Dr.-Ing. Christopher Krauss is Media & Data Science Lead at the business unit Future Applications and Media of the Fraunhofer Institute for Open Communication Systems (FOKUS). He specializes in the R&D of topics dealing with Machine Learning, Data Science, Technology Enhanced Learning, and Connected TVs and has been involved in multiple public founded national and international projects (e.g. Smart Learning I & II, Digi-Hand, FI-Content I & II, User Centric Networking, Global ITV) and managed many projects for different industry customers (e.g., Red Bull, Deutsche Welle, MediaBroadcast, ImmobilienScout24, Holtzbrinck Publishing Group, Cornelsen, Bertelsmann Arvato, Axel Springer, Rovi, and Deutsche Telekom).

Christopher Krauss received his Master of Science in Media Informatics (very good with distinction) at Beuth University of Applied Sciences and Fraunhofer FOKUS in 2012. From 2015 until 2017, he participated in the BMBF-funded Software Campus program which trains and professionally develops tomorrow’s senior IT executives. In June 2018, Christopher Krauss completed his PhD project (with distinction/ summa cum laude) at the TU Berlin with his dissertation “Time-Dependent Recommender Systems for the Prediction of Appropriate Learning Objects”.

Talks

View Program

  • 13:30 - 14:30 | Session 1

    15:00 - 16:00 | Session 2

    16:30 - 18:00 | Session 3

  • With media increasingly powered by Artificial Intelligence, mastering the underlying technologies is essential for shaping innovative, responsive, and efficient media solutions.  This tutorial provides a comprehensive introduction to AI and Large Language Models (LLMs), offering deep insights and practical know-how for media professionals.

    We will explore foundational concepts of AIs, examine state-of-the-art LLMs, and practice model training and fine-tuning techniques. Through interactive hands-on sessions, we will gain experiences with real-world applications — such as LLM-based chatbots with intelligent document retrieval systems (RAG), data analysis with vector embedding, AI-based assistant for search platform, vision-language models for video-chatbots, and interview bots for knowledge capture. We’ll also cover how to secure authenticity and provenance in generative AI with C2PA.

    Topics:

    • AI & LLM Fundamentals: Conception and overview of AI and Large Language Models.
    • Model Training & Manipulation: Techniques for training, fine-tuning, and customizing output of LLMs for media applications.
    • Vision-Language Models: Overview and practical use-cases combining visual and textual data.
    • Hands-on Applications:
      • Developing LLM-based chatbots and intelligent document-based conversational agents (RAG systems).
      • Advanced data annotation and semantic analysis with vector embeddings.
      • Implementation techniques for AI-based assistant of search platform.
      • Implementing video-based chatbots using vision-language models.
      • Creating interview bots for knowledge extraction and externalization.
    • Securing Authenticity in GenAI: Ensuring trust, provenance, and authenticity in AI-generated media using C2PA standards.

     

    Christopher Krauß

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    Media & Data Science Lead

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    Fraunhofer FOKUS

    Bach Do

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    Research Associate

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    Fraunhofer FOKUS

  • Look forward to exciting overviews of the latest technologies, insights into innovative use cases, challenges and solutions from players in the technology and education space. The invited talks will be announced in the weeks before the event and are expected to be grouped into the following sessions:

    13:30 – 14:30 Session 1: AI-based Use Cases in Education

    15:00 – 16:00 Session 2: Challenges and Opportunities for the Future of Learning

    16:30 – 18:00 Session 3: Innovations in the field of Learning Lechnologies