Successful review of the first research phase: Christian Doppler ‘pilot’ laboratory ATHENA to transition to a regular CD laboratory two years after launch

The University of Klagenfurt has been running the Christian Doppler Laboratory ATHENA in collaboration with Bitmovin since October 2019. The team of researchers is developing new methods for the delivery and playback of live and on-demand video via the Internet using HTTP Adaptive Streaming technology. The aim is to provide viewers with a higher quality, lower latency video experience in the future. At the same time, researchers are seeking to reduce storage and distribution costs. The laboratory has recently undergone a comprehensive evaluation — and can now transition from the pilot phase to a regular laboratory.

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Offloading computation to 5G networks: Helping drones to improve their autonomous navigation

Commercial drones usually come equipped with modest on-board computing power. Consequently, their speed and agility are somewhat limited when they use their cameras like eyes to navigate in space. Samira Hayat, a researcher at the Department of Information Technology, recently joined forces with colleagues from other departments and Deutsche Telekom to investigate the effects of offloading computation to the edge of the network (edge computing).

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Research into COVID-19-related crisis scenarios at AAU: New technology will optimise the supply of medical protective equipment

Earlier this year, it became painfully clear to many in Europe that the supply of face masks, gloves and protective overalls is by no means crisis-proof. A research team consisting of Austrian and Chinese scientists is now working on new technologies that will address different levels of the supply chain and will ultimately lead to the faster, more efficient and cheaper supply of protective equipment across Europe, even in times of crisis.

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Data pipelines: New measures to tackle the last few congested metres

Today’s data networks are well developed: Even so, although the data can pass through the pipelines smoothly and largely unhindered, the last few metres of the pipeline represent a bottleneck. Firewalls, security and the restrictions imposed by the processing software all tend to slow down processing. Now, thanks to a new H2020 project, a research team at the Department of Information Technology, led by Radu Prodan, has started to work on new measures aimed at tackling the last few congested metres. 

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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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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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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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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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Pursuing the research objective of a more unified and democratic social media ecosystem

Facebook, Twitter and Co. are centralised platforms that are owned by private corporations and that control the respective networks unilaterally. An international project financed by EU-H2020 under the project leadership of Radu Prodan (University of Klagenfurt) aims to create a decentralised social media ecosystem using blockchain technology.

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Automatic recognition of relevant segments in ophthalmic surgery videos

Researchers from the fields of computer science and medicine are collaborating to make better use of microscopic videos that record surgical procedures relating to the eyes for the purpose of teaching, research and documentation.

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