SFB MAKI – Scientific Workshop 2018

Machine Learning for Communication Systems

Technically co-sponsored by
“Communication and Distributed Systems” (KuVS), German Computer Science Society (Gesellschaft für Informatik (GI)) and in the Information Technology society (Informationstechnische Gesellschaft im VDE (ITG).

Friday, 23th of March, 2018

Wissenschafts- und Kongresszentrum Darmstadt GmbH & Co. KG
Schloßgraben 1
64283 Darmstadt
Room: Europium 3

Link to Google Maps

08:30h Welcome Coffee
08:45h Prof. Dr. Bernd Freisleben (Philipps-Universität Marburg/TU Darmstadt, Germany)
09:00h Prof. Dr. Gerhard Neumann
(University of Lincoln, UK)
Traffic Prediction in SDNs using Kalman Filters in Learned Feature Spaces
09:45h Coffee Break
10:00h Prof. Dr. Wolfgang Kellerer (TU München, Germany)
Boost your Communication Network with Machine Learning
10:45h Coffee Break
11:00h Prof. Dr. Eli De Poorter (Ghent University, Belgium)
Applied Machine Learning for Wireless System Optimization
11:45h Lunch Break
13:00h Prof. Dr. Katharina Morik (TU Dortmund, Germany)
Machine Learning for the Internet of Things
13:45h Coffee Break
14:00h Dr. Gerardo Rubino (Inria Rennes, France)
Machine Learning Developments around the PSQA Project
14:45h Coffee Break
15:00h Dr. Pedro Casas (Austrian Institute of Technology, Vienna, Austria)
Big Data Analytics and Machine Learning for Network Monitoring
15:45h Coffee Break
16:00h Panel Discussion
Perspectives and Impact of Machine Learning for Communication Systems
(with all speakers)
16:45h Concluding Remarks


Poster (Download)

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