Navigation auf uzh.ch
Navigation auf uzh.ch
Speaker:
Prof. Dr. Michael Seufert University of Augsburg, Germany
Date: Thursday, 6 March 2025, 17:15
Location: room BIN 2.A.01 at the Department of Informatics (IfI), Binzmühlestrasse 14, 8050 Zürich
Details about the format of the talk shall be checked always just ahead of a certain presentation date: (information here)
In modern user-centric network environments, ensuring a high Quality of Experience (QoE) for users of Internet applications is increasingly challenging due to the limitations of traditional network monitoring and management mechanisms. This talk will explore how machine learning approaches are emerging as powerful tools to address these challenges. Supervised machine learning models can demonstrate high accuracy in QoE monitoring even with encrypted network traffic, while reinforcement learning offers promising capabilities for proactive QoE management. Despite these advantages, we must also consider the limitations, including the risks of model overfitting and the requirement for labeled QoE data.
Michael Seufert is a Full Professor with the University of Augsburg, Germany, heading the Chair of Networked Embedded Systems and Communication Systems since 2023. He has been with the Chair of Communication Networks, University of Würzburg, Germany from 2019-2023 and from 2013-2017, with AIT Austrian Institute of Technology from 2018-2019, and with FTW Telecommunication Research Center Vienna from 2012-2013. He received the Diploma and Ph.D. degrees in computer science, the bachelor’s degree in economathematics, and the Habilitation degree in computer science from the University of Würzburg, Germany, in 2011, 2017, 2018, and 2023, respectively. He also received the First State Examination degree in mathematics, computer science, and education for teaching in secondary schools, in 2011. His research focuses on user-centric communication networks, including QoE of internet applications, AI/ML for QoE-aware network management, as well as group-based communications. He has published more than 100 papers in renowned international journals, conference, and workshops, and has been awarded multiple times by the international research community, winning, among others, 6 Best Paper Awards, 3 Best Demonstration Awards, and 2 Best PhD Thesis Awards. Since 2022, he is a Fellow of the prestigious DFG Emmy Noether Program and he is the recipient of the 2024 IEEE Communications Society (ComSoc) Technical Committee on Network Operation and Management (CNOM) Young Professional Award.
