Bernhard Rinner gave a lecture on “Self-awareness for autonomous systems” as part of the AI Excellence Lecture Series of the Artificial Intelligence Doctoral Academy. Abstract Self-awareness is a broad concept borrowed from cognitive science and psychology that describes the property of a system, which has knowledge of “itself,” based on […]
Author: Bernhard Rinner
New leadership of the faculty
On January 1, 2022, there was a leadership change at the Faculty of Technical Sciences. Clemens Heuberger, professor of discrete mathematics, was appointed the new dean for two years. Heuberger has been vice dean of the faculty since 2013 and therefore brings a lot of experience to his position. Bernhard […]
Pervasive Computing competes at Graz Marathon
Rockson Agyeman, Markus Gutmann, Kyriakos Lite and Bernhard Rinner from the Pervasive Computing Group took part as a relay team in the Graz Marathon on October 10, 2021. “The Running Threads” – as team named itself – were among the top 20 in this competition.
PhD defense of Petra Mazdin
Today Petra Mazdin successfully defended her PhD thesis entitled Communication-Aware Multi-Robot Coordination for Simultaneous Coverage. The committee was composed by Prof. Christian Bettstetter (chair), Prof. Daniele Nardi (Sapienza University of Rome) and Prof. Hermann Hellwagner. Petra conducted her PhD within the Karl Popper Kolleg on Networked Aerial Autonomous Vehicles and […]
Multidrone flight demonstration
The University of Klagenfurt launched the Karl Popper Doktorats- und Wissenschaftskolleg “Networked Autonomous Aerial Vehicles (NAV)“ in October 2017; having completed a cycle of just under four years, it is now coming to an end. Stephan Weiss, who serves as the speaker of the programme, reflects on a success story: […]
Using self-awareness to explore the world
by Karen Meehan for the magazine ad astra; photo: goinyk/Adobestock Bernhard Rinner, Professor for Pervasive Systems at the Institute of Networked and Embedded Systems, describes the fascination and challenges associated with a highly topical interdisciplinary research field. Self-driving cars, networked devices within the Internet of Things, software programmes such as […]









