Manuel Eppler

Manuel Eppler is a doctoral student and research assistant at the University of Tübingen, affiliated with the Faculty of Mathematics and Natural Sciences and the Department of Computer Science, specifically the Chair of Communication Networks. He holds a B.Sc. in Computer Science (2020), a B.Sc. in Mathematics (2021), and an M.Sc. in Computer Science (2022), all from the University of Tübingen.

• Education
  • B.Sc. in Computer Science (2016-2020)
  • B.Sc. in Mathematics (2018-2021)
  • M.Sc. in Computer Science (2020-2022)

His research focuses on communication networks, particularly Time-Sensitive Networking (TSN) and scheduling algorithms. Key contributions include work on Integer Linear Programming (ILP) for TSN scheduling and clustering algorithms for BIER-based multicast scalability. He also explores integrating container platforms with TSN for industrial IoT applications.

Recent publications highlight advancements in TAS (Time-Aware Shaper) performance optimization and container-adjacent network management. His work bridges theoretical modeling (e.g., ILP, clustering) with practical implementations in industrial networks.

Eppler collaborates with Siemens AG's Industrial Networks division, contributing to lectures on topics like network simulation, cybersecurity, and IT service management. He is associated with the Chair of Communication Networks at the University of Tübingen, which provides a hub for his research activities.