Daniel Tenbrinck
Scholar

Daniel Tenbrinck

Google Scholar ID: cDDMZv4AAAAJ
Department of Data Science, FAU Erlangen- Nürnberg
Graph methodsMachine LearningImage Processing
Citations & Impact
All-time
Citations
416
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published several papers, including 'The Infinity Laplacian Eigenvalue Problem: Reformulation and a Numerical Scheme,' and participated in various international collaborative research projects.
Research Experience
  • Worked as a scientific staff member and postdoc in SFB 656 'Molecular Imaging' at WWU Münster from 2009 to 2013; served as a postdoc at École Nationale Supérieure d’Ingénieurs de Caen (ENSICAEN), France, in 2014; continued as a postdoc at the Institute for Applied Mathematics, Prof. Burger, WWU Münster, from 2014 to 2018; held a postdoc position at the Chair of Applied Mathematics, Prof. Burger, FAU Erlangen-Nürnberg, from 2018 to 2019; has been an academic advisor at the Chair of Applied Mathematics, Prof. Burger, FAU Erlangen-Nürnberg since 2019; has been a substitute professor (W3) at the Department of Data Science, FAU Erlangen-Nürnberg since 2023.
Education
  • Studied Computer Science (with a minor in Mathematics) at WWU Münster from 2005 to 2009, obtaining a diploma; received a Dr. rer. nat. (PhD in Computer Science) from the same university in 2013.
Background
  • Research interests include data science, mathematical statistics, and data analysis. Holds a PhD in Computer Science and has worked as a researcher at multiple international institutions.
Miscellany
  • Married with four children.
Co-authors
0 total
Co-authors: 0 (list not available)