Understanding images, connecting systems – Computer Vision for real-time and edge computing
Research focus areas
The analysis and interpretation of image data play a central role in many distributed systems, for example in robotics as well as in sports and media applications. Whenever images and videos are involved, large to very large volumes of data must be processed locally or in distributed architectures—often close to the source (edge computing). This requires the use of efficient, parallel, and resource-optimized algorithms designed for both CPU and GPU environments.
Our expertise lies in the development of efficient and parallel algorithms for high-speed and real-time applications. We have extensive experience in the development of GPU-based systems, sports applications, and advanced codecs.
In addition to classical image processing algorithms, we design and implement AI-based deep learning systems as well as robotics applications.
If we have sparked your interest, we would be delighted to hear from you and to discuss potential project ideas in applied research.
Degree programmes offerings
BSc Game Technologies & Extended Reality
- Studying mode
- Full-time, Part-time/work-study and Practice-integrated bachelor's degree program (PiBS)
- Teaching language
- English
- Place
- Brugg-Windisch
- Next start
- 14.9.2026
BSc Data Science & Artificial Intelligence
- Studying mode
- Part-time/work-study, Full-time and Practice-integrated bachelor's degree program (PiBS)
- Teaching language
- German and English
- Place
- Brugg-Windisch
- Next start
- 14.9.2026
BSc Computer Science
- Studying mode
- Part-time/work-study, Full-time and Practice-integrated bachelor's degree program (PiBS)
- Teaching language
- German and English
- Place
- Brugg-Windisch
- Next start
- 14.9.2026
Continuing education offerings
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Discover our Media Lab
Current Projects
- In the current Projekt aWall , we are developing methods and tools based on extra-large interactive multi-touch boards to increase the efficiency and effectiveness of collaboration in distributed agile teams.
- At the Medialab, the STIX software was tested on satellite hardware. The Medialab specialises in validating software under real-world conditions before it is deployed in space. In this case, it was ensured that the software functions optimally with the hardware it will later operate with in orbit. Testing the STIX software marked an important milestone in ensuring the satellite’s reliable and seamless performance.
Infrastructure
- VR-enabled desktop PC
- HTC Vive Pro
- Spacious room infrastructure, e.g. for general use of room-scale VR applications
Contact us
For further information about the School of Computer Science FHNW or to discuss a potential collaboration, please contact us:
Prof. Dr. Christoph Stamm
- Phone
- +41 56 202 78 32 (Direct)
- christoph.stamm@fhnw.ch
Prof. Martin Kropp
- Phone
- +41 56 202 78 18 (Direct)
- martin.kropp@fhnw.ch
Prof. Dr. Hilko Cords
- Phone
- +41 56 202 87 48 (Direct)
- hilko.cords@fhnw.ch
Our School
