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Towards Robust Machine Learning in 5G Radio Access Networks

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Wednesday, 22. January 2020, 10:00 - 11:00
Category: Lectures & Presentations | created by This email address is being protected from spambots. You need JavaScript enabled to view it.

Information about the speaker

Slawomir Stanczak studied electrical engineering with specialization in control theory at the Wroclaw University of Technology and at the Technical University of Berlin (TU Berlin). He received the Dipl.-Ing. degree in 1998 and the Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin; the Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor for network information theory with TU Berlin and the head of the Wireless Communications and Networks department at Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI).
Prof. Stanczak is a co-author of two books and more than 200 peer-reviewed journal articles and conference papers in the area of information theory, wireless communications, signal processing and machine learning. He was an Associate Editor of the IEEE Transactions on Signal Processing between 2012 and 2015.
Since February 2018 Prof. Stanczak has been the chairman of the ITU-T focus group on machine learning for future networks including 5G.



Location Johannes Kepler University Linz, Open Innovation Center
Contact Hans-Peter Bernhard, Johannes Kepler University Linz and Silicon Austria Labs