BEGIN:VCALENDAR VERSION:2.0 PRODID:-//jEvents 2.0 for Joomla//EN CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT UID:c0c765b8dfdffdc191f5e2d08e9310cf CATEGORIES:Lectures & Presentations CREATED:20200921T161648 SUMMARY:Towards Robust Machine Learning in 5G Radio Access Networks LOCATION:Johannes Kepler University Linz\, Open Innovation Center DESCRIPTION:
Information about the speaker
Slawomir Stanczak s
tudied 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. deg
ree (summa cum laude) in electrical engineering in 2003, both from TU Berli
n; 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 Fraunho
fer 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, w
ireless communications, signal processing and machine learning. He was an A
ssociate 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.
CONTACT:Hans-Peter Bernhard, Johannes Kepler University Linz and Silicon Austria Labs X-EXTRAINFO:16/7 DTSTAMP:20240328T233609 DTSTART:20200122T090000 DTEND:20200122T100000 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR