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Christian Bettstetter


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Christian Bettstetter is professor and head of the Institute of Networked and Embedded Systems at the University of Klagenfurt. He is also scientific director and founder of Lakeside Labs GmbH, a research and innovation cluster on self-organizing networked systems. Christian Bettstetter studied electrical engineering and information technology at the Technische Universität München (TUM), receiving the Dipl.-Ing. degree in 1998. After a research stay at the University of Notre Dame, he joined the Institute of Communication Networks at TUM, where he was a research and teaching staff member until 2003. His doctoral thesis on mobility modeling, connectivity, and adaptive clustering in wireless ad hoc networks was awarded the Dr.-Ing. (summa cum laude) degree in 2004. Before becoming a professor, he was a senior researcher at DOCOMO Euro-Labs from 2003 until 2005. Bettstetter and his team work on the design, modeling, and analysis of networked communication systems, with a focus on mobile and wireless networking. Current projects address cooperative relaying and interference dynamics in wireless networks, self-organizing synchronization, and communications and coordination for flying robots. The teaching portfolio comprises an undergraduate lecture on electricity and magnetism, two graduate lectures on mobile communications and networking, and multidisciplinary seminars on networks.



by   -   July 16, 2017
Foto by www.Lakeside-Labs.com

An interdisciplinary workshop on self-organization and swarm intelligence in cyber physical systems was held at Lakeside Labs this week. Experts presented their work and discussed open issues in this exciting field.

Romy Mueller interviews Raheeb Muzaffar who has developed a framework that improves the transmission of videos between moving drones and mobile devices at ground level.

Samira Hayat was one of the few women in Pakistan studying electrical engineering. In this interview, she talks about her research exploring networks of drones. Rescue missions performed by drone networks are highly involved, covering areas such as detection and communication. She is particularly interested in determining optimal processes from a mathematical perspective.

Autonomously flying robots — also called small-scale unmanned aerial vehicles (UAVs) — are more and more exploited in civil and commercial applications for monitoring, surveillance, and disaster response. For some applications, it is beneficial if a team of coordinated UAVs rather than a single UAV is employed. Multiple UAVs can cover a given area faster or take photos from different perspectives at the same time. This emerging technology is still at an early stage and, consequently, profound research and development efforts are needed.