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
Darmstadtium
Wissenschafts- und Kongresszentrum Darmstadt GmbH & Co. KG
Schloßgraben 1
64283 Darmstadt
Room: Europium 3
| 08:30h | Welcome Coffee |
| 08:45h |
Prof. Dr. Bernd Freisleben (Philipps-Universität Marburg/TU Darmstadt, Germany) Introduction |
| 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 |
