Machine Learning Research Group

Dr. Paul Prasse

 

Campus Golm
University of Potsdam
Department of Computer Science
Building 70, Office 2.13
An der Bahn 2
14476 Potsdam, Germany

Curriculum Vitae

I am a Postdoc at the University of Potsdam. I received a Master’s Degree in Computer Science (Diplominformatiker) in 2010 and a Ph.D. (Dr. rer.  nat.) in 2016 from the University of Potsdam. I am interested in machine learning. My current research interests lie in generative adversarial networks, and data science. Machine learning has many diverse applications, and I am working on some of them: computer security (detecting of malware, analysis of encrypted network traffic), precision medicine, and model-building for various applications.

 

Current Projects

  • AEye Junior Research Group: AEye - Artificial Intelligence for Eye Tracking Data: Deep Learning Methods for the Automated Analysis of Cognitive Processes.
  • ML-Med: Machine Learning with Relational Background Knowledge for Biomedical Applications

 

Past Projects

  • Malware Detection by Analyzing HTTPS Logs
  • Email Security, a project funded by STRATO Rechenzentrum AG.
  • Structured In- and Output.

 

Publications

Software

  • "REx-SVM" - a framework to learn a model that predicts a regular expression that describes the language of a given set of texts (uses the SVM^struct framework from Thorsten Joachims). A download link can be obtained on request to prasse@cs.uni-potsdam.de.

Teaching