ZBUM - Biometrics and Machine Learning Group Site - Biometrics and Machine Learning Group

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    • A. Pacut
    • M. Trokielewicz
    • W. Gutfeter
    • E. Bartuzi
    • K. Roszczewska
    • K. Gabor
    • M. Hałoń
    • M. Azimi
    • J. N. Khirak
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Biometrics and Machine Learning Group

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Latest news

We are pleased to announce that Mateusz Trokielewicz defended (with honors) his doctoral dissertation entitled „Iris Recognition Methods Resistant to Biological Changes in the Eye” , supervised by prof. Czajka and prof. Pacut, on the 18th of July, 2019.

Iris scanner can distinguish dead eyeballs from living ones: MIT Technology Review reports on our recent developements in the field of presentation attack detection for cadaver irises.

We are pleased to announce that Mateusz Trokielewicz received the EAB European Biometrics Research Award 2016 for research on iris recognition reliability including template aging, influence of eye diseases and post-mortem recognition.

Is That Eyeball Dead or Alive? Adam Czajka discusses the prevention of iris sensors accepting the use of a high-resolution photo of an iris or, in a grislier scenario, an actual eyeball. For full article, please see IEEE Spectrum.

wersja polska

Introduction to Neural Networks

Fall 2016, University of Notre Dame

Instructor: Dr. Adam Czajka | aczajka@nd.edu
Office hours: Friday 15:00 - 16:00, 321B Stinson-Remick Hall of Engineering

Teaching assistant: Toan Nguyen | tnguye28@nd.edu
Office hours: Thursday 13:00 - 14:00, 213 Cushing Hall
(send an email to Toan and ask for other meeting time if the above doesn't work for you)


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Q&A forum -> you are all enrolled to piazza.com

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Institute of Control
and Computation Engineering

Warsaw University of Technology
ul. Nowowiejska 15/19
00-665 Warsaw, Poland
phone: +48 (22) 234 73 97

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