piwik-script

Deutsch Intern
Chair of Computer Science III

Program

2nd KuVS Fachgespräch "Machine Learning and Networking"- 08/09 October 2020 - Würzburg, Germany (virtual event)

Program October 8, 2020:

Time

Title

Author(s)

Affiliation(s)
       
12:30 - 12:40 Welcome and Opening David Hock, Michael Seufert Infosim, University of Würzburg
       
Session 1 Monitoring Chair: Nikolas Wehner  
12:45 - 13:05 NetBOA: Self-Driving Network Benchmarking Johannes Zerwas, Patrick Kalmbach, Andreas Blenk Technical University of Munich
13:10 - 13:30 Detecting Congestion of Bottleneck Links Through Machine Learning Andreas Könsgen, Anna Förster University of Bremen
13:35 - 13:55 IP2Vec: Learning Similarities between IP Addresses Markus Ring, Dieter Landes, Alexander Dallmann, Andreas Hotho Coburg University of Applied Sciences and Arts, University of Würzburg
       
14:00 - 14:30 Coffee break    
       
Session 2 Configuration Chair: Susanna Schwarzmann  
14:30 - 14:50 AI-Assisted Configuration of Dynamic Real-Time Networks Alexej Grigorjew, Nikolas Wehner, Michael Seufert, Tobias Hoßfeld University of Würzburg
14:55 - 15:15 Adapting Sensor Network Protocols to Environmental Changes through Machine Learning Anna Förster University of Bremen
15:20 - 15:40 Machine Learning for Dynamic Resource Allocation in Network Function Virtualization Stefan Schneider, Narayanan Puthenpurayil Satheeschandran, Manuel Peuster, Holger Karl University of Paderborn, Amrita School of Engineering
15:45 - 16:05 Privacy-Preserving Distributed Learning Framework for 6G Telecom Ecosystems Pooyan Safari, Behnam Shariati, Johannes Karl Fischer Fraunhofer Heinrich Hertz Institute
       
16:10 - 16:40 Coffee break    
       
Session 3 Quality of Experience Chair: Andreas Blenk  
16:40 - 17:00 Inferring Web QoE with Machine Learning from Encrypted Network Traffic Nikolas Wehner, Michael Seufert, Joshua Schüler, Sarah Wassermann, Pedro Casas, Tobias Hoßfeld University of Würzburg, Austrian Institute of Technology
17:05 - 17:25 Uplink Request Based Quality Estimation of Mobile YouTube Using Machine Learning Frank Loh, Tobias Hoßfeld University of Würzburg
17:30 - 17:50 Analyzing the Costs of QoE Estimation in 5G Networks Susanna Schwarzmann, Thomas Zinner Technical University of Berlin, Norwegian University of Science and Technology

 

Program October 9, 2020:

Time

Title

Author(s)

Affiliation(s)
       
Session 4 Wireless Chair: Frank Loh  
09:00 - 09:20 Zero-touch coordination framework for Self-Organizing Functions in 5G Diego Fernando Preciado Rojas, Faiaz Nazmetdinov, Andreas Mitschele-Thiel Technical University of Ilmenau
09:25 - 09:45 RAN Cognitive Controller Anubhab Banerjee, Stephen S Mwanje, Georg Carle Nokia Bell Labs, Technical University of Munich
09:50 - 10:10 SON Self-Coordination Framework using Autoencoder based Recommender Systems Tanmoy Bag, Sharva Garg, Vaibhav Tyagi, Zubair Shaik, Andreas Mitschele-Thiel Technical University of Ilmenau
10:15 - 10:35 Wireless Communication Data Sets for Machine Learning Matthias Herlich, Stefan Farthofer Salzburg Research
       
10:40 - 11:10 Coffee break    
       
Session 5 Security Chair: Robert Bauer  
11:10 - 11:30 Probabilistic Traffic Classification Patrick Kalmbach, Benedikt Baier, Andreas Blenk, Martin Mieth Technical University of Munich, Ipoque
11:35 - 11:55 Towards a Conversational Agent for Cybersecurity Planning and Management Muriel Franco, Lisandro Granville, Burkhard Stiller University of Zürich, Federal University of Rio Grande do Sul
12:00 - 12:20 A Usability-driven Approach towards Situational Awareness in Enterprise Networks Jochen Kögel, Katharina Dietz, Carsten Arzig IsarNet, University of Würzburg, genua
       
12:25 - 12:30 Closing and Goodbye David Hock, Michael Seufert Infosim, University of Würzburg