Jukka Komulainen (né Määttä)

Face spoofing attack using a wearable 3D mask

Jukka Komulainen is a University Lecturer at the Center for Machine Vision and Signal Analysis (CMVS). His general research interests include computer vision, audio and image processing, computational imaging, machine learning and pattern recognition. His particular focus has been on biometric recognition based on face, iris, "talking-face" and behavioural traits, especially presentation attack detection (PAD) and multi-modal active (continuous) authentication on mobile devices. The work on PAD has also spanned his research topics into image and video forensics, including "deepfake" detection. Currently, Komulainen is working on improving the robustness of facial analysis methods under digital and physical attacks within the ICT 2023: Frontier AI Technologies 2021 project "Trustable faces: Face data integrity against digital and physical attacks (TrustFace)" funded by the Academy of Finland.

Please refer to the personal webpage for more details.

Research interests

  • Biometric recognition
  • Presentation attack detection
  • Image and video forensics
  • Computer vision
  • Machine learning
  • Signal processing

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