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Owli-AI Team

Team

Owli-AI is developed in the THM environment. Here we present the team behind the apps, custom GPTs, and research projects.

Currently listed: 4 team members.

  1. Portrait of Dr.-Ing. Michael Kreutzer

    Dr.-Ing. Michael Kreutzer

    Research and Assistive Systems

    Technische Hochschule Mittelhessen (THM), Campus Giessen, MNI

    • Embedded Systems
    • Robotics
    • Computer Vision
    • Electronics
    • Assistive Systems

    Dr.-Ing. Michael Kreutzer works on embedded systems, computer vision, and assistive systems. In the Owli-AI context, the focus is on assistive technologies and linking research with practical prototypes.

  2. Portrait of Justine Buss (BSc)

    Justine Buss (BSc)

    Research, Assistive Computer Vision & AI

    Technische Hochschule Mittelhessen (THM), Campus Giessen, MNI

    Justine Buß <[email protected]>

    • Computer Vision
    • Deep Learning
    • Semantic Segmentation
    • Assistive Mobility

    Justine Buss is a master's student in engineering informatics with a focus on artificial intelligence and computer vision. Her bachelor's thesis on assistive computer vision led to the contribution “Open-Vocabulary Annotation for Pedestrian Scene Understanding under Domain Shift”, presented at the ECCV Workshops in 2026. The bachelor's thesis received the THM Karl-Heinz Lust Innovation Prize. In the Owli-AI context, she works on assistive mobility, datasets and practical demonstrators such as Way-Buddy.

  3. Portrait of Prof. Dr.-Ing. Dipl.-Wirt. Ing. Diethelm Bienhaus

    Prof. Dr.-Ing. Dipl.-Wirt. Ing. Diethelm Bienhaus

    Research, Intelligent Environments and Assistive Systems

    Technische Hochschule Mittelhessen (THM), Campus Giessen, MNI

    • Intelligent Environments
    • Assistive Systems
    • Inclusive Higher Education
    • Cyber Physical Systems (CPS)

    Prof. Diethelm Bienhaus works in the field of intelligent environments and assistive systems. In the Owli-AI context, he supports research-oriented development and integration into inclusive teaching and application scenarios.

  4. Portrait of Prof. Dr.-Ing. Seyed Eghbal Ghobadi

    Prof. Dr.-Ing. Seyed Eghbal Ghobadi

    Research, Computer Vision & Machine Learning

    Technische Hochschule Mittelhessen (THM), Campus Giessen, MNI

    Seyed Eghbal Ghobadi <[email protected]>

    • Computer Vision
    • Machine Learning
    • Deep Learning
    • Safe AI

    Prof. Dr.-Ing. Seyed Eghbal Ghobadi is Professor of Computer Vision and Machine Learning at the MNI department of THM. His research focuses on deep learning, Safe AI, advanced driver-assistance systems and AI for cyber-physical systems. Before joining THM, he worked at Opel / General Motors and Opel / PSA / Stellantis on driver-assistance systems, automated driving and AI safety. In the Owli-AI context, he contributes expertise in computer vision, machine learning and safe AI and is a co-author of the ECCV 2026 contribution that grew out of Justine Buss's bachelor's thesis.