Of fog and clouds: How are we capable of conducting the computations for near real-time applications?

Narges Mehran, who came to Klagenfurt from Iran in order to pursue her doctoral studies, has specialized in cloud and fog computing as part of her doctoral thesis. These decentralized processing systems make it possible to reduce latency and processing times.

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Automatic analysis of eye surgery

In many cases, modern ophthalmic surgery involves the video recording of surgical proceedings. The video material is either used for training purposes or for the subsequent reconstruction of operation sequences. Klaus Schöffmann has assembled a research team to work on the automatic recognition of relevant sequences within the scope of an FWF-funded project. Natalia Sokolova, a doctoral candidate at the Department of Information Technology, is a member of the project team and her work focuses on improving the search for particularly “relevant” surgical phases.

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Expanding the sensory skills of machines

Machines are already capable of many things. A certain set of sensors has already been fully developed. And yet, Harald Gietler, researcher at the Department of Smart Systems Technologies seeks to discover: “Who knows what kinds of sensors we will need in the future?” He is currently developing a new technology, which will allow machines to determine the location of other machines.

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Enabling drones to fly long-durations autonomously

In practical settings, ten minutes of flight time are generally not enough for most applications. A team comprised of researchers from the University of Klagenfurt (AAU) and NASA-JPL/California is working on ways to enable the autonomous flight of drones in several stages with intermittent charging phases. Christian Brommer, AAU doctoral student, has recently published the results of his research.

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