The man who calculates the future


Under which conditions can mathematics be used to calculate how many and which animals will live where, how viruses will spread, and how strong our economic performance will be tomorrow? Christian Aarset has developed mathematical models that allow us to calculate the future. He recently completed his doctoral thesis under the supervision of Christian Pötzsche. 

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Processing large amounts of data efficiently: Creating new technologies for the computing continuum

“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.

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Successful testing of UWB sensor network in industrial setting

Wireless communication is becoming increasingly important in industrial companies, as production processes frequently have to be adapted and optimized. Laying new cables each time would reduce flexibility. Together with the companies Messfeld and Dewesoft and the research institutes JOANNEUM RESEARCH DIGITAL and FH Campus 02, the University of Klagenfurt and Lakeside Labs GmbH have now tested a UWB network in an industrial setting.

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Remarkable success for Mathematics and Statistics at the University of Klagenfurt: funding for 14 new PhD students in the field of optimization in FWF doc.funds project

The approval of this project represents a milestone in the success story of the Departments of Mathematics and Statistics at the University of Klagenfurt. It’s also a great achievement on the part of the participating professors and particularly for the 32-year-old coordinator, Michaela Szölgyenyi. Starting in autumn 2020, the project will employ around one dozen international young scientists in Klagenfurt.

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New tools for swarms of machines

Moving intelligently, robots deployed in a warehouse shift crates from A to B – without getting in each other’s way. What sounds like a very simple example has only recently been made possible thanks to new tools developed in the EU Horizon 2020 project CPSwarm. The project is now in its final phase and the “toolkit” is freely available online for all developers.   

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The University of Klagenfurt and Bitmovin collaborate on innovative video transmission technologies

Bitmovin is a leading global provider of online video technology. Working with the University of Klagenfurt and funded by the Federal Ministry of Digital and Economic Affairs (BMDW), collaborative efforts will now focus on new technologies set to improve the video streaming experience in the future. Bearing the title ATHENA (Adaptive Streaming over HTTP and Emerging Networked Multimedia Services), the project has been endowed with a budget worth several million Euros.

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Simulating cyber-physical threats to the City of Vienna

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.  

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Europe’s largest Dronehall is open for business

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.

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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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Are we seeing genuine progress with recommender systems?

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.

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