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

Cross-Domain Evaluation of a Deep Learning-Based Type Inference System
arXiv 2022 | pdf
Bernd Gruner and Tim Sonnekalb and Thomas S. Heinze and Clemens-Alexander Brust

Generalizability of Code Clone Detection on CodeBERT
ASE 2022 | pdf
Tim Sonnekalb and Bernd Gruner and Clemens-Alexander Brust and Patrick Mäder

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

Towards Automated Visual Monitoring of Individual Gorillas in the Wild
ICCV-WS 2017 | pdf
Clemens-Alexander Brust and Tilo Burghardt and Milou Groenenberg and Christoph Käding and Hjalmar Kühl and Marie L. Manguette and Joachim Denzler

See more of my publications here!


  • 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