Ilkka Pölönen


General description

Associate professor of computational data analysis

Current teaching:

  • Computer vision and image analysis
  • Anomaly detection
  • Machine learning for cyber security


Head of Spectral Imaging Laboratory.


Active JYU affiliations


Research interests

Research includes computational methods, which can be used in spectral image analysis. Various applications can be found from remote sensing, medicine, biology, and even in art history. In practice methods are used by researchers, clinicians or farmers.


Fields of science


Follow-up groups


Personal keywords

Computational data analysis, computer science, applied mathematics, machine learning, spectral imaging


Projects as Principal investigator

  
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Projects as Team Member


Publications and other outputs

  
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Author of research datasets


Last updated on 2024-17-04 at 21:11