Owli-AI Owli-AI Team
Owli-AI is developed in the THM environment. Here we present the team behind the apps, custom GPTs, and research projects.
Research and Assistive Systems
Technische Hochschule Mittelhessen (THM), Campus Gießen, MNI
Dr.-Ing. Michael Kreutzer works on embedded systems, computer vision and assistive systems. He co-authored the Pattern Collection for accessible teaching materials and the 2026 ECCV workshop contribution on pedestrian scene annotation.
Research, Assistive Computer Vision & AI
Technische Hochschule Mittelhessen (THM), Campus Gießen, MNI
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.
Research, Intelligent Environments and Assistive Systems
Technische Hochschule Mittelhessen (THM), Campus Gießen, MNI
Prof. Diethelm Bienhaus researches intelligent environments and assistive systems. With Michael Kreutzer, he published the Pattern Collection for accessible teaching materials; both also co-authored the framework for modular mobility aids and indoor navigation.
Research, Computer Vision & Machine Learning
Technische Hochschule Mittelhessen (THM), Campus Gießen, MNI
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.