Bayesian Biometrics For Forensics
Prof. Pietro Laface
Dipartimento di Automatica e Informatica
Politecnico di Torino
Tel.: +39 011 090 7004
Email: Pietro Laface@polito.it
Dipartimento di Automatica e Informatica
Politecnico di Torino
Tel.: +39 011 090 7004
Email: Pietro Laface@polito.it
Summary
With the availability of more advanced biometric technologies the work of forensic sciences is expected to change dramatically in the future.A new elite of researchers will be necessary to work in the fields of investigation and in legal cases in the various European forensic institutes, who will be specialized in extracting and interpreting evidence from biometric traces.
Training such an elite group of researchers is the primary goal of the Bayesian Biometrics For Forensics Initial Training Network.
We intend to achieve that goal by recruiting a number of Early Stage Researchers (ESRs) in various biometrics labs and providing them with a training programme that will both address the fundamental biometric detection technologies issues and the typical forensic usage and requirements of these biometrics.
The training of ESRs will be realized in a number of ways:
- The research will be carried out at the home institution, where a supervisor oversees the day-to-day activities.
- The
ESR will interact with other Network participants from industry and
academia along two “research dimensions,” where each dimension extends
over multiple sites.
- The ESR will work at guest institutions during 3–6 months secondments.
- The
ESRs will participate in summer schools and workshops organized by the
various network partners throughout the course of the Initial Training
Network BBfor2.
The multi-disciplinary training makes the ESRs very employable in forensic sciences and governmental bodies such as law enforcement institutions, as well as research and development departments of industry.
Project duration: 1-1-2010 / 1-1-2014
Number of person/years: 468 person/months
Project Coordinator: Radboud Universiteit Nijmegen
Project budget POLITO: 228.4 k-€