“We can provide the scientific community and industry with the infrastructure they need to calculate large amounts of data quickly”, Dragi Kimovski, Assistant Professor at the Department of Information Technology, explains. In a recent conversation he told us what scientists and experts like him can offer the fields of medicine and physics as well as other areas.
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.
A large number of critical infrastructure facilities are located in cities and their surroundings, providing essential services in a compact geographical space and resulting in mutual physical and logical dependencies. The provision of services such as electricity, gas, water, communication, food, fuel, road or rail, in particular, is achieved by operating extensive networks. In the FFG-funded project ODYSSEUS, Stefan Rass (Institute of Applied Informatics) and his team are working on developing a framework for a simulation designed to forecast the consequences of attacks on such interlinked infrastructure facilities.
Researchers investigating autonomous drones can now use a cutting-edge research infrastructure at the University of Klagenfurt, measuring up to 150 square meters and a height of ten meters. This is a tremendous boost for the “Drone-Hub Klagenfurt”, already known for hosting some of the world’s top players in the field.
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.
Recommender systems represent a key technology for e-commerce providers such as Google, Amazon, Netflix, Booking.com and Spotify. It is therefore with a certain urgency that researchers are working intensively on making ever more accurate predictions about the products and services users might want to consume next. However, in a paper published recently, Maurizio Ferrari Dacrema, Paolo Cremonesi and Dietmar Jannach were able to show that several critical issues concerning the research methodology are hindering progress in the development of recommender systems. In recognition of their work, they received the Best Full Paper Award at the renowned ACM Conference on Recommender Systems in Copenhagen in September.
Step by step, the University of Klagenfurt is steadily expanding its activities in the new research area “Humans in the Digital Age”. The appointment of Elisabeth Oswald (University of Bristol) represents an important milestone in this endeavour. As an applied cryptographer, Elisabeth Oswald works at the interface between mathematics and computer science. In her research, she focuses especially on the cryptographic aspects of cybersecurity.
While MRI, CT and x-ray already provide valuable insights into the interior of the body, the technology involving so-called magnetic particle imaging now promises new possibilities with high resolution, less acquisition time and no harmful radiation. In order to be able to draw conclusions about biological processes based on the observation of magnetic particles in a magnetic field, research has to rely on mathematics. Tram Thi Ngoc Nguyen is completing her doctoral thesis on this topic at the University of Klagenfurt.
It might soon become common for drones to transport goods and people, monitor disaster zones, and bring various forms of relief to areas that are difficult to access. Which communication infrastructure is best suited to facilitate this? Researchers at the University of Klagenfurt have explored potential challenges associated with the use of traditional cellular networks.
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.