Computational Intelligence: From Biometrics to Biomedicine

On Monday October 15th the board of AUTh IEEE Student Branch organized a lecture – transmitted via live streaming- entitled “Computational Intelligence: From Biometrics to Biomedicine”. The lecturer was Ioannis Kakadiaris, Professor of Computer Science, Electrical & Computer Engineering, and Biomedical Engineering at the University of Houston (UH) and the founder of the Computational Biomedicine Lab (CBL).

The lecture was structured in three parts:

  • 1st: Presentation of biometrics research including 3D face recognition (FR), 3D-FR for partial data, 3D-aided 2D FR, and profile-based face recognition. Emphasis on Annotated Face Model (AFM) to describe the facial data.
  • 2nd: Presentation of research in the area of biomedical image computing with emphasis on the mining of information from cardiovascular imaging data for the detection of persons with a high likelihood of developing a heart attack in the near future (vulnerable patients).
  • 3rd: Speed networking. In this part, students had the chance to ask the professor questions concerning not only his field of research, but also academics, research and job opportunities both in Greece and abroad. In addition, Professor Kakadiaris presented some necessary steps in order to achieve our goals.

IEEE Student Branches of NUoA, UCG and Thrace also participated in this lecture.