About me

I studied computer science at the University of Würzburg, Germany, where I received my diploma degree in 2012. After this I joined the Chair of Communication Networks, lead by Prof. Wolfgang Kellerer, at the Technische Universität München in June 2012. In Mai 2018, I received the degree Doktor-Ingenieur (Dr.-Ing.) from the Technische Universität München with highest distinction (summa cum laude, Link). I was a postdoctoral-researcher and associate lecturer at the Chair of Communication Networks. From March 2019 to January 2022, I was a Senior Research Fellow at the Communication Technologies Group, Faculty of Computer Science, University of Vienna. Currently, I am working as a Research Scientist at Siemens AG in the T CED INW-DE group located in Munich. My research is focused on architectures and blueprints for industrial networks with focus on verticals from factories, smart infrastructures (e.g., power plants), and smart mobility (like trains). I am researching actively the areas of digital twins, machine learning, and monitoring & observability for networking.


Teaching

Lectures with full responsibility.

WS 2021/2022

SS 2021

SS 2020


Certifications and Attended Seminars

  • Virtuelle Meetings professionell und interaktiv gestalten (two-day workshop)
  • Qualification Program at the Graduate Center Electrical Engineering and Computer Engineering
  • Effektives Führen von Studierenden (14 Stunden)
  • Scientific Writing (16 hours)
  • PhD Supervisor Training (two-day workshop)
  • Teaching in English
  • Project Management for Researchers (two-day workshop)
  • Führend Wissen Schaffen (6 Stunden)
  • Serious Creativity - Develop New Solutions in a Systematic Way (two-day workshop, 14 hours)

Awards

  • Best Student Paper Award at IEEE CNSM for the paper “On the Performance of TCP in Reconfigurable Data Center Networks”, Thessaloniki, Greece, 2022
  • Best Student Paper Award at IFIP/IEEE IM for the paper “sfc2cpu: Operating a Service Function Chain Platform with Neural Combinatorial Optimization”, Bordeaux, France, Virtual Conference, 2021
  • Best Demo Award at NetSys, Munich, Germany, 2019
  • Nominated for Best Paper Award IFIP Networking, Warsaw, Poland, 2019
  • Best Dissertation in Network and Service Management 2018, awarded by IEEE IM 2019 Dissertation Committee
  • Kurt Fischer Promotionspreis 2018, awarded by Department of Electrical and Computer Engineering, Technical University of Munich
  • Accepted for postdoc grant of the internationalization program at the Technical Faculty of IT and Design, Aalborg University, 2018
  • Best-In Session Presentation Award, awarded by IEEE INFOCOM 2018 TPC
  • Student Travel Grant CNSM, 2016
  • Student Travel Grant IM, 2015

Selected Publications

  • NetBOA: Self-Driving Network Benchmarking. Zerwas, J.; Kalmbach, P.; Henkel, L.; Rétvári, G.; Kellerer, W.; Blenk, A.; and Schmid, S. In Proc. Workshop on Network Meets AI & ML (NetAI’19), pages 1-7, 2019.
  • NeuroViNE: A Neural Preprocessor for Your Virtual Network Embedding Algorithm. Blenk, A.; Kalmbach, P.; Zerwas, J.; Jarschel, M.; Schmid, S.; and Kellerer, W. In Proc. IEEE INFOCOM, pages 1-9, April 2018.
  • o’zapft is: Tap Your Network Algorithm’s Big Data!. Blenk, A.; Kalmbach, P.; Schmid, S.; and Kellerer, W. In Proc. ACM SIGCOMM Workshop Big-DAMA, of Big-DAMA ‘17, pages 19-24, August 2017. ACM
  • Control Plane Latency With SDN Network Hypervisors: The Cost of Virtualization. Blenk, A.; Basta, A.; Zerwas, J.; Reisslein, M.; and Kellerer, W. IEEE Trans. on Netw. and Serv. Manage., 13(3): 366-380. September 2016.
  • Survey on Network Virtualization Hypervisors for Software Defined Networking. Blenk, A.; Basta, A.; Reisslein, M.; and Kellerer, W. IEEE Commun. Surveys & Tutorials, 18(1): 655-685. 2016.

Selected Community Work

  • Chair, NetSys 2021 PhD Forum Link, Sep. 16, 2021, Luebeck, Germany (online)
  • Chair, Machine Learning in Networking (MaLeNe), NetSys Workshop, Sep. 13, 2021, Luebeck, Germany (online)