Johannes Schleicher M.Sc.

Research Assistant
Networked Embedded Systems and Communication Systems
Phone: +49 821 598-2360
Email:
Room: F2-411 (Standort "Alte Universität")
Address: Eichleitnerstraße 30, 86159 Augsburg

Thesis Projects:

Topics for bachelor's theses, master's theses, or internships can be requested at any time. If you are interested in completing a thesis at our chair, simply get in touch with me or one of my colleagues.

CURRICULUM/VITAE

  • Since November 2023: PhD at the Chair of Networked Embedded Systems and Communication Systems, University of Augsburg
  • 2020-2023: M.Sc. Computer Science, University of Würzburg
  • 2021-2022: Semester abroad, Blekinge Institute of Technology, Sweden
  • 2017-2020: B.Sc. Computer Science, University of Würzburg

Research Focus

  • Artificial Intelligence (AI) and Machine Learning (ML) in communication networks
  • Network management like performance prediction and anomaly detection
  • Performance evaluation and modeling of communication systems
  • Quality of Experience (QoE) of Internet applications

Courses / teaching

(applied filters: semester: current | lecturers: Johannes Schleicher | course types: all)
name semester type
Übungsgruppe1 Kommunikationssysteme - Mo 17:30-19:00 winter semester 2024/25 Übung
Übungsgruppe3 Kommunikationssysteme - Mi 14:00-15:30 winter semester 2024/25 Übung
Kommunikationssysteme winter semester 2024/25 Vorlesung
Übungsgruppe2 Kommunikationssysteme - Di 10:00-11:30 winter semester 2024/25 Übung
Seminar Vernetzte Systeme und Kommunikationsnetze (Bachelor) winter semester 2024/25 Seminar
Seminar Vernetzte Systeme und Kommunikationsnetze (Master) winter semester 2024/25 Seminar
Übungsgruppe4 Kommunikationssysteme - Mi 15:45-17:15 winter semester 2024/25 Übung
Oberseminar Vernetzte Systeme und Kommunikationsnetze winter semester 2024/25 Oberseminar
Übung zu Kommunikationssysteme winter semester 2024/25 Übung

Publications

2024

2024

Johannes Schleicher, Nikolas Wehner, Tobias Hoßfeld and Michael Seufert. 2024. (Not) the sum of its parts: relating individual video and browsing stimuli to web session QoE. DOI: 10.1109/QoMEX61742.2024.10598239
PDF | BibTeX | RIS | DOI

Katharina Dietz, Mehrdad Hajizadeh, Johannes Schleicher, Nikolas Wehner, Stefan Geissler, Pedro Casas, Michael Seufert and Tobias Hoßfeld. in press. Agree to disagree: exploring consensus of XAI methods for ML-based NIDS.
BibTeX | RIS

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