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

Research Interests

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


SS 21

  • Communication Networks 2

SS 20

  • Communication Networks 2
  • ICT for Smart Grids

WS 19/20

  • Oberseminar

WS 18/19

  • Communication Networks 3
  • Problem Based Learning
  • Oberseminar
  • Mentoring / Grundlagen ET

SS 18

  • Traffic Theory
  • Electrical and Magnetical Fields

WS 17/18

  • Communication Networks 3 / Problem Based Learning
  • Mentoring / Grundlagen ET


  • 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



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, 1 (2), pp. 191–214, 2021, ISSN: 2673-8732.

Links | BibTeX

Fitzek, Frank H. P.; Steinbach, Eckehard; Guerrero, Juan A. Cabrera; 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 Inproceedings

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


Mehrabi, Mahshid; Taghdiri, Pooria; Latzko, Vincent; Salah, Hani; Fitzek, Frank H. P.

Accurate Energy-Efficient Localization Algorithm for IoT Sensors Inproceedings

In: 2020 IEEE International Conference on Communications (ICC): SAC Internet of Things Track (IEEE ICC'20 – SAC-06 IoT Track), Dublin, Ireland, 2020.


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

Use Case Driven Evolution of Network Coding Parameters Enabling Tactile Internet Applications Inproceedings

In: 2020 IEEE International Conference on Communications (ICC): Communication Theory Symposium (IEEE ICC'20 – CT Symposium), Dublin, Ireland, 2020.


Bonetto, Riccardo; Latzko, Vincent

Machine Learning Book Chapter

In: Fitzek, Frank H. P.; Granelli, Fabrizio; Seeling, Patrick (Ed.): Computing in Communication Networks – From Theory to Practice, 1 , Chapter 8, pp. 143-177, Elsevier, 1, 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, 1 , pp. 201-216, 2020.

Links | BibTeX


Mehrabi, Mahshid; You, Dongho; Latzko, Vincent; Salah, Hani; Reisslein, Martin; Fitzek, Frank H. P.

Device-Enhanced MEC: Multi-Access Edge Computing (MEC) Aided by End Device Computation and Caching: A Survey Journal Article

In: IEEE Access, 2019.