Karel Ha, Mgr.


Karel Ha owns B.Sc. and M.Sc. degrees in computer sciences awarded by Charles University in Prague. During his studies and the time after, he gained rich experience in machine learning and related topics.

Karel will work on the new DUKE research project, where we will be collaborating with colleagues from the Max Planck Institute (MPI) in Jena. His research will focus on uncertainty quantification in deep models, while his MPI counterpart will proceed to investigate hybrid models for Earth sciences. 


Focus and Interests

  • Machine Learning
  • Deep Learning
  • Game Theory


The aim of the DUKE project is to further develop and combine the research paths of hybrid modelling and uncertainty assessment. To this end, the Chair of Remote Sensing Technology is collaborating with the Max Planck Institute for Biogeochemistry in Jena.

A particular focus will be on ensuring optimal scalability in terms of the regions observed – from the field level to the global scale – as well as the data volumes to be processed. DUKE focuses on the real-world problem of modelling global matter transport cycles, specifically the currently still open question of coupled water and carbon cycles. Here, a data-driven perspective offers enormous potential, as the mostly rigid boundary conditions and parameterisations in process models lead to systematic deviations in the simulations. Furthermore, the quantification of uncertainties is essential for model development as well as for testing alternative hypotheses.


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