Vincent Latzko

Dipl.-Ing. Vincent Latzko

PhD Researcher

Vincent Latzko received his Diploma degree in Electrical Engineering and Information Technology from Technische Universität Darmstadt, with a focus on the fundamental theory of electromagnetic fields and the numerical solution of Maxwell’s equations ( using a multitude of mathematical and algorithmic methods (such as DG-FEM, FDTD, Symplectic or BEM/Integral Equation solvers). He worked extensively in fundamental research at one of Europe’s largest particle accelerator facilities, the GSI Helmholtzcentre for Heavy Ion Research (

In his diploma thesis with Prof. PhD Carsten Rother at the computer vision lab dresden he restored distorted depth maps using Regression Tree Fields, a non-parametric Gaussian Conditional Random Field method.
He afterwards focused on analytical approaches for regression problems as well as on data driven, deep learning models.


Phone: +49 351 463-35337
Room: BAR I-12

Research Interests

  • Machine Learning
  • Scaling & Provisioning
  • Uncertainty Quantification / Bayesian Thinking
  • Compression
  • Software Defined Networking / Network Function Virtualisation


Communication Networks 2

  • SS 23, SS 22, SS21, SS20

Communication Networks 3

  • WS18, WS17

ICT for Smart Grids

  • SS 22, SS21, SS20

Oberseminar & Problem Based Learning

  • WS19, WS18, WS17

Traffic Theory

  • WS18

ET1, ET2

  • WS18, SS18, WS17


  • Dynamic Resource Provisioning of Service Mesh Based Microservice Architectures using Machine Learning Techniques (Master Thesis Jamil Al Bouhairi)
  • Analysis of Computation Scaling in a Datacenter (Student Thesis Aaron Winkler)
  • Placement and Scalability of Virtual Network Functions (Student Thesis Jiali Sun)
  • Predictive Placement of Virtualized Network Functions for Urban Vehicular Routing (Preliminary Title of Master Thesis Giovanni Tancredi Iavarone, of Prof. Antonella Molinaro)
  • Learning Coding Schemes (Diploma Thesis Alexander Sarmanow)
  • Learning Optimal Congestion Control Algorithms (Diploma Thesis Christian Vielhaus)
  • Improving Next-Generation Video Codec Segmentation using Deep Learning Techniques (Master Thesis Cheng Chiang Huang)
  • Deep Reinforcement Learning for Traffic Control (Diploma Thesis Johannes Busch)
  • Optimising and Learning Coding Parameters (Study Thesis Christian Vielhaus)
  • Telepresence Demonstrator – Remote Controlled Car via Augmented Reality (Study Thesis Renbing Zhang, joint supervision with Alexander Kropp)
  • Exploring Resilience in-car using Multipath SDN (Study Thesis Florian Kemser)


  • IEEE Communications Surveys & Tutorials
  • IEEE ComSoc
  • IEEE Access
  • Wiley


14 entries « 1 of 2 »


Latzko, Vincent; Vielhaus, Christian Leonard; Mehrabi, Mahshid; Fitzek, Frank H. P.

Accelerator-Aware Computation Offloading under Timing Constraints Proceedings Article

In: 2024 International Conference on Computing, Networking and Communications (ICNC): Edge Computing, Cloud Computing and Big Data (ICNC'24 ECB), pp. 5, Big Island, USA, 2024.

Abstract | BibTeX

Latzko, Vincent; Jia, Zhenzhen; Vielhaus, Christian Leonard; Mehrabi, Mahshid; Fitzek, Frank H. P.

Experiment as Code - An Automated Testbed for Cloud Scaling and Operations Proceedings Article

In: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), pp. 5, Mahe, Seychelles, 2024.

Abstract | Links | BibTeX


Latzko, Vincent; Vielhaus, Christian Leonard; Mehrabi, Mahshid; Fitzek, Frank H. P.

Analysing and Learning Low-Latency Network Coding Schemes Proceedings Article

In: International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Montreal, Canada, 2023.

Abstract | Links | BibTeX

Vielhaus, Christian Leonard; Lhamo, Osel; Busch, Johannes V. S.; Rischke, Justus; Latzko, Vincent; Zimmermann, Sandra; Sossalla, Peter; Külzer, Daniel Fabian; Fitzek, Frank H. P.

Estimating Link Capacity With Uncertainty Bounds in Cellular Networks Proceedings Article

In: IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), pp. 117-122, IEEE, Istanbul, Turkiye, 2023.

Links | BibTeX

Latzko, Vincent; Lhamo, Osel; Mehrabi, Mahshid; Vielhaus, Christian Leonard; Fitzek, Frank H. P.

Energy-Aware and Fair Multi-User Multi-Task Computation Offloading Proceedings Article

In: 2023 International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, Hawaii, 2023.

Links | BibTeX


Vielhaus, Christian Leonard; Busch, Johannes V. S.; Geuer, Philipp; Palaios, Alexandros; Rischke, Justus; Külzer, Daniel Fabian; Latzko, Vincent; Fitzek, Frank H. P.

Handover Predictions as an Enabler for Anticipatory Service Adaptations in Next-Generation Cellular Networks Proceedings Article

In: The 20th ACM International Symposium on Mobility Management and Wireless Access (ACM MobiWac 2022), Montreal, Canada, 2022.

Links | BibTeX


Mehrabi, Mahshid; Shen, Shiwei; Hai, Yilun; Latzko, Vincent; Koudouridis, George P.; Gelabert, Xavier; Reisslein, Martin; Fitzek, Frank H. P.

Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks Journal Article

In: Network, vol. 1, no. 2, pp. 191–214, 2021, ISSN: 2673-8732.

Links | BibTeX

Fitzek, Frank H. P.; Steinbach, Eckehard; Cabrera, Juan A.; Latzko, Vincent; Zhang, Jiajing; Lu, Yun; Sefunç, Merve; Scheunert, Christian; Schilling, René; Traßl, Andreas; Sanchez, Andrés Villamil M.; Franchi, Norman; Fettweis, Gerhard P.

Communications and control Book Chapter

In: Fitzek, Frank H. P.; Li, Shu-Chen; Speidel, Stefanie; Strufe, Thorsten; Simsek, Meryem; Reisslein, Martin (Ed.): Tactile Internet with Human-in-the-Loop, Chapter 11, pp. 255-281, Academic Press, 2021, (later on under:



Mehrabi, Mahshid; Shen, Shiwei; Latzko, Vincent; Wang, Yuanfei; Fitzek, Frank H. P.

Energy-Aware Cooperative Offloading Framework for Inter-dependent and Delay-sensitive Tasks Proceedings Article

In: 2020 IEEE Global Communications Conference: Selected Areas in Communications: Cloud & Fog/Edge Computing, Networking and Storage (Globecom2020 SAC CCNS), Taipei, Taiwan, 2020.


Busch, Johannes V. S.; Latzko, Vincent; Reisslein, Martin; Fitzek, Frank H. P.

Optimised Traffic Light Management Through Reinforcement Learning: Traffic State Agnostic Agent vs. Holistic Agent With Current V2I Traffic State Knowledge Journal Article

In: IEEE Open Journal of Intelligent Transportation Systems, vol. 1, pp. 201-216, 2020.

Links | BibTeX

14 entries « 1 of 2 »