Research Group · University of Applied Sciences Upper Austria, Campus Hagenberg
Advanced Information Systems and Technology
The research group "AIST – Advanced Information Systems and Technology" conducts research on software solutions in the areas of eHealth, Machine Learning and Data Science, as well as Visual Computing.
Research areas
What we work on
eHealth
IT support for integrated care ("eHealth") enables the definition, analysis and optimisation of suitable interfaces, adequate care processes and affordable business models for high-quality care and case management in healthcare. The goal of integrated care is the provision of comprehensive, coordinated and continuous services that ensure a seamless care process along the entire continuum of care. [after Hagen Kühn, Wissenschaftszentrum Berlin]
Machine Learning & Data Science
The field of Machine Learning deals with algorithms that are able to automatically find a domain-specific result based on patterns in data. This includes methods for the classification and identification of subjects in digital information, which are also able to continuously improve their own results as more data becomes available. The basic idea is not to explicitly teach algorithms how to solve a task, but to achieve this automatically using training data.
Visual Computing
Visual Computing covers both the analysis and the generation of visual information. Computer Vision and Image Processing extract semantic information from image content, giving digital systems an ability comparable to human visual perception. Computer Graphics creates and renders digital content, and Mixed Reality combines information from the real world with digital data. Our work spans image acquisition, pre-processing, analysis and visualisation.
Latest
News from the research group
ECCV 2026
At the CV4Ecology Workshop at ECCV 2026, Christoph presented two of our recent papers together with Hugo Markoff, showcasing new approaches to AI-based wildl...
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SIGGRAPH 2026
This summer, Christoph Praschl represented our team at SIGGRAPH 2026 in Los Angeles, where he presented our latest work on synthetic data for wildlife detect...
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CVPR2026
Our colleague Christoph Praschl attended this year’s CVPR 2026 in Denver. As part of the CV4Animals workshop, he presented the paper “The BAMBI Dataset: Mult...
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Explore the research group
Cooperation
Collaboration & theses
Interested in a cooperation, a joint research project or a thesis within the scope of our research? We look forward to hearing from you.