Agenda 18

SFB MAKI – Scientific Workshop 2018

Machine Learning für Kommunikationssysteme

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).

Datum: Freitag 23. März 2018

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

Link zu 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)