拉斯维加斯赌城

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Chair of Networked Systems and Communication Networks

  1. University
  2. Faculties
  3. Faculty of Applied Computer Science
  4. Institute of Computer Science
  5. Chairs and Professors
  6. Networked Systems and Communication Networks
  7. Team
  8. Prof. Dr. Michael Seufert

Prof. Dr. Michael Seufert

Chairholder
Chair of Networked Systems and Communication Networks
Phone: +49 821 598-2793
Email:
Room: F2-403 (Standort "Alte Universit?t")
Address: Eichleitnerstra?e 30, 86159 Augsburg

Note regarding office hours:

Please schedule an appointment for a consultation with Prof. Dr. Seufert exclusively via e-mail.

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Curriculum Vitae

  • 2025: IEEE ComSoc Best Young Professional Award in Academia of the IEEE Communications Society (ComSoc)
  • 2024: CNOM Young Professional Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM)
  • Since October 2023: Full Professor and Chairholder at University of Augsburg, Chair of Networked Embedded Systems and Communication Systems
  • 2023:?Private Lecturer (Privatdozent) at University of Würzburg, Chair of Communication Networks (Prof. Dr. Tobias Ho?feld)
  • 2023: Professorial Qualification (Habilitation) in Computer Science from University of Würzburg (Thesis: "Potentials and Limitations of Machine-Learning-supported Network Management for User-centric Communication Networks", Advisors: Prof. Dr. Tobias Ho?feld, Prof. Dr. Andreas Hotho, Prof. Anja Feldmann, PhD)
  • 2022: Fellow of "Emmy Noether Program" of German Research Foundation (DFG)
  • 2019 - 2023: Scientist (Akademischer Rat) and Research Group Leader at University of Würzburg, Chair of Communication Networks (Prof. Dr. Tobias Ho?feld)
  • 2018 - 2019: Scientist at AIT Austrian Institute of Technology GmbH, Center for Digital Safety & Security, Digital Insight Lab
  • 2018: Bachelor of Science in Economathematics (B.Sc.) from University of Würzburg
    • Member of "Dean's List" 2017/2018 of Faculty of Business Management and Economics of University of Würzburg
  • 2017: PhD in Computer Science (Doktor der Naturwissenschaften, Dr. rer. nat.) from University of Würzburg (Thesis: "Quality of Experience and Access Network Traffic Management of HTTP Adaptive Video Streaming", Supervisor: Prof. Dr.-Ing. Phuoc Tran-Gia)
    • Best Dissertation Award 2018 of KuVS (Communication and Distributed Systems) special interest group of both the GI German Society for Computer Science and the ITG Information Technology Society of VDE Association for Electrical, Electronic & Information Technologies, awarded at International Conference on Networked Systems (NetSys 2019)
    • Best Dissertation Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM), awarded at IEEE/IFIP Network Operations and Management Symposium (NOMS 2018)
  • 2013 - 2017: Research Assistant (Wissenschaftlicher Mitarbeiter) at University of Würzburg, Chair of Communication Networks (Prof. Dr.-Ing. Phuoc Tran-Gia)
  • 2012 - 2013: Researcher at FTW Forschungszentrum Telekommunikation Wien GmbH (FTW Telecommunications Research Center Vienna), Area for User-centered Interactions and Communication Economics
  • 2012: Research Assistant (Wissenschaftlicher Mitarbeiter) at University of Würzburg, Chair of Programming Languages and Methodology (Prof. Dr. Jürgen Albert)
  • 2011: First State Examination for Teaching in Secondary Schools (Gymnasium) in Bavaria (Computer Science, Mathematics, Education)
  • 2011: Diploma in Computer Science (Dipl.-Inform.) from University of Würzburg
    • Prize of Institute of Computer Science of University of Würzburg for excellent study performance and an outstanding diploma thesis
    • Study prize of VDE Association for Electrical, Electronic & Information Technologies North Bavaria

Research Focus

  • Quality of Experience (QoE) of Internet applications
  • Artificial intelligence and machine learning for communication networks (QoE, security)
  • Measurement and analytics of (encrypted) network traffic
  • Data-driven proactive user-centric network management solutions
  • ML-based configuration of industrial networks
  • Monitoring, orchestration, and consolidation of edge cloud computing services
  • Group-based communication
  • Performance analysis and modeling of communication systems

Courses / teaching

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