IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (IEEE CIBIM)

The IEEE International Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM 2023) will be held within the 2023 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2023) in Mexico City, Mexico.
The main objective of CIBIM 2023 is to bring researchers from academia and industry together to exchange the latest theoretical and experimental CI solutions in biometrics and identity management. This event will provide an interdisciplinary forum for researchers, developers and practitioner especially in the CI field to present state of the art biometric research and technology, as well as the potential problems in real applications.

The symposium topics include, but are not limited to the following areas:

  • CI-based biometric algorithms, techniques and systems
  • CI-based biometric solutions for user verification and identification
  • Machine learning, neural-networks and artificial intelligence methods in biometrics and identity management
  • Adaptive and cognitive biometric systems for static and dynamically-changing environments
  • Intelligent and evolutionary biometric systems
  • Biometric smart ID, RFID ePassport, biometric authentication and identity management
  • Covert and unconstrained biometrics
  • CI-based multiple biometrics, multi-modal biometrics and multi-classifier systems
  • Soft biometrics and new biometric modalities
  • Mobile biometric devices and embedded systems

Symposium Chairs

  • Svetlana Yanushkevich
    syanshk@ucalgary.ca
    University of Calgary, Canada
  • Masood Khan
    masood.khan@curtin.edu.au
    Curtin University, Australia
  • Ajita Rattani
    ajita.rattani@wichita.edu
    Wichita State University, USA

Programme Committee

  • Abhijit K Nag, Texas A&M University-Central Texas, USA
  • Dakshina Ranjan Kisku , National Institute of Technology Durgapur, India 
  • Helder C.R. Oliveira, University of Calgary, Canada 
  • Hugo Pedro Proença, University of Beira Interior, Portugal
  • Gerry Vernon Dozier, Auburn University, USA
  • Lunke Fei, Guangdong University of Technology, China 
  • Ruggero Donida Labati , Universita degli Studi di Milano, Italy 
  • Qinghan Xiao, DRDC Canada, Canada