19. August 2020

SCCH: Trying out Real Research and Moving AI Forward

Under the work experience scheme for talented youngsters which is supported by the Austrian Research Promotion Agency (FFG), Viktoria Fürst took the opportunity to sample work in the field of data science at Software Competence Center Hagenberg (SCCH). Viktoria is a 5th-year secondary pupil at Schloss Wagrain school. On her reasons for taking part in the work experience programme she says: “I expect this work experience to give me insights into professional work and an idea of day-to-day working life. But most of all I expect to learn many new things and to gain experience of research and the subject of data science."


Visualization of distance characteristics

“Viktoria is supporting us on the project S3AI (Security and Safety for Shared Artificial Intelligence) which deals with the development of secure collaborative artificial intelligence systems,” says project manager Dr Werner Zellinger. “We are researching methods of protecting privacy, protection against hostile attacks and guaranteeing that the system behaves as desired. We’re using transfer learning and deep learning methods.” Mathematician Dr Manuela Geiss, who is working closely with Viktoria, adds: “The nice thing is that the tasks Viktoria is working on will contribute to the success of the project later on.”

Viktoria, who would like to work in data science or machine learning one day, says of her tasks: “I work with a variety of different distance and similarity measures and am trying to find one that can determine the distance between two sets as accurately as possible with binary vectors. What I find particularly interesting about this is the idea behind the project and the range of areas in which what we’re now doing can be applied. Image recognition, for example, is crucial for self-driving vehicles.”

Collaboration between humans and robots

Asked what she finds interesting about informatics she explains: “I think what interests me most about informatics is the collaboration between humans and robots. Not just with the different hardware that helps us in everyday life, but also with software programs which have helped us to make incredibly fast progress in science and society.”

Photo: The research findings can be applied to self-driving vehicles, for instance. 
Left to right: Intern Viktoria Fürst, Dr Werner Zellinger, M.Sc. Michal Lewandowski and Dr Manuela Geiss
(c) SCCH