Computational Imaging Research

• Clinical Research
• Machine Learning Research
  • Hrvoje Bogunovic
  • Teresa Finisterra Araújo
  • Guilherme Moirera Aresta
  • Arunava Chakravarty
  • Taha Emre
  • Meltem Esengönül
  • Botond Fazekas
  • Hana Jebril
  • Dmitrii Lachinov
  • Marzieh Oghbaie
  • Antoine Rivail
  • José Morano Sánchez
  • Emese Sükei
  • Markus Unterdechler
• Software Development
• Administrative
• Reading Team
• Former Team Members

Botond Fazekas, MSc

Doctoral Research Scientist
Christian Doppler Laboratory for Artificial Intelligence in Retina
Department of Ophthalmology and Optometry
Medical University of Vienna
Email: botond.fazekas(at)meduniwien.ac.at
Phone: +43 1 40400 66144
Office: BT72, 17. floor, 72.17.14

Bio:

Botond Fazekas obtained his BSc in Software Engineering and MSc in Computational Intelligence from the Vienna University of Technology. During and after his graduation he worked for several years as a freelancer contractor for different Austrian and German companies leading large-scale software development projects as a software architect, besides working on research projects focusing on predictive maintenance for locomotives and high-speed computer vision solutions for train pantograph certification and safety evaluation. He joined the research group as a research engineer in 2020 to pursue an academic career and he started his PhD studies in 2021.

Research Interests:
 – Medical Image Computing
 – Machine Learning interpretability