Room layout for the PhD school

Monday, June 27


Room: C2 Room at the ground floor in the UPark hotel

09:00 – 09:30Introduction and welcome by the chairs


09:30 – 10:45Tutorial I (1) – DEEP in the NET: Deep Learning for Network Monitoring and Analysis

Pedro Casas is a Senior Scientist at the Austrian Institute of Technology, where he acts as Research Lead in AI4NETS (AI/ML for Networking). He will present a broad overview on the application of AI/ML to network data analysis problems, including network security, anomaly detection, and Quality of Experience (QoE) monitoring. The lecture “DEEP in the NET: Deep Learning for Network Monitoring and Analysis” provides an introduction to the basics of AI/ML, going from more traditional applications to newer paradigms, including deep learning, graph-based learning, generative models, explainable AI, and more. The ultimate goal of the lecture is to motivate – for the newcomers, and to strengthen – for those already in the field, the research in AI4NETS.


10:45 – 11:15   Coffee Break


11:15 – 12:30   Tutorial I (2) – DEEP in the NET: Deep Learning for Network Monitoring and Analysis


12:30 – 14:00   Lunch Break & Poster Session: Group 1

Martin Randall Luca Gioacchini Vivian Band Taimur Hafeez
Gastón García González Lucas Inglés Hamid Martínez Sabrina Pochaba
Ziad TLAISS Ivan Bartolect Aniketh Girish Idio Guarino
Diego Madariaga Nikolas Wehner Raphael Hiesgen Alfred Arouna
Joël Roman Ky Antonia Affinito Erwan Goareguer Matteo Boffa
Ciro Guida      

14:00 – 16:30Tutorial II – Operationalization of ML models for DNS security (Slides, Code)

Thymen Wabeke and Thijs van den Hout are research engineers with SIDN Labs (.nl registry). They research how machine learning (ML) applications can increase the security of the internet and the Domain Name System (DNS). The lecture will focus on operationalizing a ML model. There are several challenges involved in this process, such as efficiently collecting ground truth labels, analysts needing to understand model inferences, and monitoring model performance so you know when it fails and needs updating. The lecture will include a hands-on training, so that participants can try out some techniques immediately.


17:00 – 18:30   Fun activities: Karting or Laser Tag, in parallel, at Zero55 , Colosseum 84, 7521 PT Enschede

19:00 – 22:00   Social Event: BBQ & drinks at De Bakspieker, Hengelosestraat 725, 7521 PA Enschede

 


Tuesday, June 28


Room: C2 Room at the ground floor in the UPark hotel


09:00 – 10:30Tutorial III (1) – Experimentation and analytics for next generation mobile networks (Slides)

Anna Brunström is a Full Professor and Research Manager for the Distributed Systems and Communications Research Group at Karlstad University. She will familiarize the students with experimentation and measurements methodologies for next generation mobile networks, based on her vast experience on applied research projects such as H2020 MONROE, NEAT and 5GENESIS. The students will also get an opportunity for hands-on examination of a mobile network data set.


10:30 – 11:15Coffee Break & Poster Session: Group 1


11:15 – 12:15Tutorial III (2) – Experimentation and analytics for next generation mobile networks


12:15 – 14:00Lunch Break & Poster Session: Group 2

Alfredo Nascita Sami Ben Marien Markus Sosnowski Patrick Sattler
Alessandro Cornacchia Saloua Naama Muhammad Muzayan Zahraa El Attar
Sanaa Ghandi Paniz Parastar Radu Anghel Hendrik Cech
Katharina Dietz Gianluca Perna Alex Rohl Magnus Klausen
Ali Rasaii David Hasselquist Johannes Zirngibl Tina Rezaie
Ramin. Yazdani      

14:00 – 15:30Tutorial IV (1) – BGP data analysis with RIPE RIS (Slides)

Emile Aben is a System architect at the RIPE NCC, Netherlands. The lecture will provide an overview of the RIPE RIS Internet data collection system and what it is useful for. The lecturer will demo the interfaces available for the data, and the students will do hands-on experiments that will help with the detection of interesting routing artefacts using this data.


15:30 – 16:15Coffee Break & Poster Session: Group 2


16:15 – 17:15Tutorial IV (2) – BGP data analysis with RIPE RIS