(c) UDE/Frank Preuß
Amr Rizk studied industrial engineering at TU Darmstadt and received his doctorate with distinction from Leibniz Universität Hannover in 2013. After a postdoctoral period in the USA and the UK, he returned to TU Darmstadt to lead a junior research group on “Adaptive Overlay Communication” in the field of Multimedia Communication from 2016 to 2019. In 2019, he completed his habilitation on “Adaptive Queuing Models for Communication Systems” and, after a short time as a junior professor at Ulm University, moved to the University of Duisburg-Essen as Professor of Applied Computer Science at the Faculty of Business and Economics.
One focus of his new field of expertise “Networks and Communication Systems” is on the networking of cyber-physical systems (CPS). These are becoming increasingly important, especially in the context of Industry 4. 0, and are used, for example, in modern production facilities or intelligent power grids. By combining the physical and digital worlds, they are the basis for a variety of innovative applications that usually require a powerful and flexible network. “We are therefore researching networking mechanisms that can autonomously adapt at runtime and are therefore resilient to disruptions and attacks”, says Prof. Rizk. “Similar to how the automotive industry is pushing the idea of a self-driving car, we are aiming for the self-driving network.” No less visionary is another research interest of the 37-year-old scientist. He has been working for years with immersive virtual reality applications that are streamed using multi-path and multi-interface communication. One aim is to make volumetric – i.e., three-dimensional, walk-in videos – tangible by means of intelligent data transfer.
The research of Amr Rizk complements the research spectrum of paluno and offers interesting links to the other research groups within the institute. He is currently involved in several basic research projects of the DFG and in application-oriented research projects at a European level:
Within the framework of the Collaborative Research Center MAKI, methods for planning transitions between available communication mechanisms are developed using probabilistic methods. The DFG project SPINE aims at model-based performance analysis and adaptive control of information-centered networks. Together with industry partners, the DFG project DynSDN aims to dynamically manage reconfigurable Industry 4. 0 real-time communication networks using a software-defined infrastructure. The EU Horizon 2020 project 5G-IANA is developing an open, experimental platform for virtualized applications in the automotive industry.
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