Christian Lübben, M. Sc.

Consultation hours

By arrangement

Research

  • Smart Space Orchestration
  • Distributed Systems
  • Machine learning
  • Anomaly detection

Teaching

Lab Course iLab2

  • The iLab2 is a practical lab course covering selected network topics including IPv6, BGP, IoT Soft-/Hardware, WWW-Security.
    • Students can do hands-on network experiments in our designated lab room where they have access to the required hardware.
      • In times of COVID restrictions, the course is held entirely virtual with adapted lab experiments.
    • In addition, participants create their own small course module about a selected network topic using the same environment.
    • Based on student created lab modules, participants can choose topics such as advanced network protocols, selected network attacks, machine learning and IoT protocols.
  • Roles: Organization, Lecturer
  • Semesters: SS2019, WS2019/20, SS2020, WS2020/21, SS2021, WS2021/22, SS2022, WS2022/23

iLabX Block Course at TUM

  • The iLabX can also be taken as block course at TUM at the end of each semester. The block course consists of the digital MOOC part and selected exercises from the iLab1 and iLab2 in the physical lab environment at the chair.
  • Roles: Lecturer
  • Semesters: WS2019/20

Massive Open Online Course (MOOC) iLabX on edX

  • The iLabX is designed as Massive Open Online Course (MOOC) about the basics of networking, which is globally available for free on edX: iLabX - The Internet Masterclass.
  • A key feature of the iLabX is that relevant networking information is not only taught by video or text, but can be directly experienced as hands-on during the course.
    • For this purpose, the vLab was developed which allows participants to run network experiments in a network emulator on their own computer.
    • This brings the lab courses already available at TUM (iLab1/2) to a much broader audience, as it removes the requirement of having multiple PCs, routers and other components usually required to form a network.
  • Roles: Lecturer, Course Creation

Activities before I started as Research Associate at the chair:

Lecture "Grundlagen Rechnernetze und Verteilte Systeme"

About Me

Christian Lübben is a research associate and PhD student at the chair of Network Architectures and Services at Technical University of Munich (TUM).

He received his Master degree in Informatics from TUM in May 2018. His main area of interest is in Internet of Things and Smart Space research. His research focus lies on optimizing IoT smart spaces using Artificial Intelligence (AI) based data analytics. Challenges include security, usability, resilience, scalability, and performance.

Another field of interest is teaching. With the iLab2 he is advising a practical networking course held at TUM as well as maintaining a Massive Open Online Course (MOOC) aimed at teaching computer network fundamentals using practical exercises in a virtual eLearning environment (iLabX - The Internet Masterclass).

Publications

2021-11-01 Satu Paiho, Jussi Kiljander, Roope Sarala, Hanne Siikavirta, Olli Kilkki, Arpit Bajpai, Markus Duchon, Marc-Oliver Pahl, Lars Wüstrich, Christian Lübben, Erkin Kirdan, Josef Schindler, Jussi Numminen, Thomas Weisshaupt, “Towards Cross-Commodity Energy-Sharing Communities – A Review of the Market, Regulatory, and Technical Situation,” Renewable and Sustainable Energy Reviews, vol. 151, p. 111568, Nov. 2021. [Url] [DOI] [Bib]
2020-01-01 Christian Lübben, Marc-Oliver Pahl, Mohammad Irfan Khan, “Using Deep Learning to Replace Domain Knowledge,” in IEEE ISCC 2020, 2020. [Bib]