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Cognitive Systems (CogSys)

Modern life is embedded in intelligent systems, from the mind reading Internet to hearing aids listening in on our conversations.

Advanced data analysis is increasingly a determinant for productivity and personal quality of life.

The Section for Cognitive Systems research information processing in man and computer, with a particular focus on the signals they exchange – audio, imagery, behavior – and the opportunities these signals offer for modeling and prediction.

Our research is based on statistical machine learning and signal processing, on quantitative analysis of digital media and text, on mobility and complex networks, and on cognitive psychology.

Follow @CogSys on Twitter and Instagram for the latest updates.

News and Activities

  • PhD Defence by Martin Bach-Andersen Wednesday 25 October, 14:00, DTU B303A/Aud.41: "A Diagnostic and Predictive Framework for Wind Turbine Drive Train Monitoring."
  • Talk by Associate Professor in Neurology Farrah Mateen, Massachusetts General Hospital, Monday 30 October, 14:00, DTU B321/R134: "Smartphone-based EEG to characterize epilepsy in Bhutan and beyond:  Results from the first 200 participants."
  • CogSys PhD and Google Data Scientist Arek Stopczynski on TEDxBeaconStreet about the perspectives in the Copenhagen Network Study/Sensible DTU. Check out YouTube.


Lars Kai Hansen
Professor, head of section
DTU Compute
+45 45 25 38 89


Wanja Andersen
Administrative Officer
DTU Compute
+45 45 25 30 40