Jukka Komulainen (né Määttä)

D.Sc. (Tech.)
Postdoctoral Researcher
Biometric recognition

Center for Machine Vision and Signal Analysis (CMVS)
Faculty of Information Technology and Electrical Engineering

Face spoofing attack using a wearable 3D mask

Jukka Komulainen is a postdoctoral researcher 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 bevioural traits, especially presentation attack detection (PAD) and multi-modal active (continuous) authentication on mobile devices. 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

Researcher information

Research groups

Researcher profiles

26

publications

3204

citations

19.00

H-index (Google Scholar)

Contact information

E-mail

jukka.komulainen@oulu.fi

Keywords

Technology Computer science artificial intelligence machine learning machine vision Wireless communications applications biometric identification cybersecurity recognition of faces, expressions and gestures recognition of emotions and visual speech

Related to the researcher

Guoying Zhao

Center for Machine Vision and Signal Analysis (CMVS)