Hi! I am currently responsible for the Secure Software Engineering Group at the DLR Institute of Data Science in Jena. We provide software developers with the tools, methods and processes that they need to develop secure software.

Previously, I completed my PhD with the Computer Vision Group at Friedrich-Schiller-Universität Jena on the integration of semantic knowledge and machine learning. Semantic knowledge can help fill the gap and interpret new types of data, for example imprecise labels.

If you are interested, check out my CV and publications.

Selected publications

Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research
Mamm. Biol. 2022
Paul Bodesheim and Jan Blunk and Matthias Körschens and Clemens-Alexander Brust and Christoph Käding and Joachim Denzler

ROMEO: Exploring Juliet through the Lens of Assembly Language
arXiv 2021 | pdf
Clemens-Alexander Brust and Bernd Gruner and Tim Sonnekalb

Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
ICPR 2020 | pdf
Clemens-Alexander Brust and Björn Barz and Joachim Denzler

Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers
ACPR 2019 | pdf
Clemens-Alexander Brust and Joachim Denzler

See more of my publications here!

Projects

  • ROMEO: Exploring Juliet through the Lens of Assembly Language. GitLab
  • CHILLAX: Concept hierarchies for imprecise label learning and annotation extrapolation. GitHub
  • CHIA: Concept hierarchies for incremental and active learning. GitHub