CURRICULUM/VITAE
- Since November 2023: PhD at the Chair of Networked Embedded Systems and Communication Systems, 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Augsburg
- 2020-2023: M.Sc. Computer Science, 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Würzburg
- 2021-2022: Semester abroad, Blekinge Institute of Technology, Sweden
- 2017-2020: B.Sc. Computer Science, 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Würzburg
Research Focus
- Arti?cial 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 |
---|---|---|
?bungsgruppe1 Kommunikationssysteme - Mo 17:30-19:00 | winter semester 2024/25 | ?bung |
?bungsgruppe3 Kommunikationssysteme - Mi 14:00-15:30 | winter semester 2024/25 | ?bung |
Kommunikationssysteme | winter semester 2024/25 | Vorlesung |
Forschungsmodul | winter semester 2024/25 | Projekt |
?bungsgruppe2 Kommunikationssysteme - Di 10:00-11:30 | winter semester 2024/25 | ?bung |
Seminar Vernetzte Systeme und Kommunikationsnetze (Bachelor) | winter semester 2024/25 | Seminar |
Seminar Vernetzte Systeme und Kommunikationsnetze (Master) | winter semester 2024/25 | Seminar |
?bungsgruppe4 Kommunikationssysteme - Mi 15:45-17:15 | winter semester 2024/25 | ?bung |
Oberseminar Vernetzte Systeme und Kommunikationsnetze | winter semester 2024/25 | Oberseminar |
?bung zu Kommunikationssysteme | winter semester 2024/25 | ?bung |
Publications
2024
2024 |
Johannes Schleicher, Nikolas Wehner, Tobias Ho?feld 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 |
Katharina Dietz, Mehrdad Hajizadeh, Johannes Schleicher, Nikolas Wehner, Stefan Geissler, Pedro Casas, Michael Seufert and Tobias Ho?feld. in press. Agree to disagree: exploring consensus of XAI methods for ML-based NIDS. |