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 (www.temf.de) and the numerical solution of Maxwell’s equations using a multitude of mathematical and algorithmic methods (such as DG-FEM, FDTD 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 (www.gsi.de).
In his diploma thesis “Robust Time of Flight Denoising using Regression Tree Fields” with Prof. PhD Carsten Rother at the computer vision lab dresden he looked at a modern machine learning approach to restore distorted depth maps using non-parametric Gaussian Conditional Random Fields.
He afterwards focused on analytical approaches for regression problems as well as on data driven, deep learning models.
Phone: +49 351 463-35337
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
IEEE Access, 2019.