Biometrics, Forensics and Identity Science for Human-Centered Applications Call for Participation

17th Int.l Summer School for Advanced Studies on
Biometrics for Secure Authentication:

Alghero, Italy – June 8-12 2020


APPLICATION DEADLINE: February 15th 2020
(download the application form at:


From the early days, when security was the driving force behind
biometric research, today’s challenges go far beyond
security. Machine learning, Image understanding, Signal analysis,
Neuroscience, Robotics, Forensic science, Digital forensics and other
disciplines, converged in a truly multidisciplinary effort to devise
and build advanced systems to facilitate the interpretation of signals
recorded from individuals acting in a given environment. This is what
we simply call today “Biometrics”.

For the last seventeen years, the International Summer School on
Biometrics has been closely following the developments in science and
technology to offer a cutting edge, intensive training course, always
up to date with the current state-of-the-art.

What are the most up-to-date core biometric technologies developed in
the field? What is the potential impact of biometrics in forensic
investigation and crime prevention? What can we learn from human
perception? How to deploy current Deep Learning approaches? How to
deal with adversarial attacks in biometric recognition?

This school follows the successful track of the International Summer
Schools on Biometrics held since 2003. In this 17th edition, the
courses will mainly focus on new and emerging issues:

•       Biometrics for social interactions and emerging applications;

•       How to exploit new biometric technologies in forensic and security applications;

•       Evaluation and assessment of biometric and forensic applications;

•       Deep Learning for biometrics and forensic identification.

The courses will provide a clear and in-depth picture on the
state-of-the-art in biometric verification/identification technology,
both under the theoretical and scientific point of view as well as in
diverse application domains. The lectures will be given by 18
outstanding experts in the field, from both academia and industry. An
advanced feature of this summer school will be some practical sessions
to better understand, “hands on”, the real potential of
today’s biometric technologies.

Participant application

The school will be open to about 50 highly qualified, motivated and
pre-selected applicants. Phd students, post-docs, researchers,
forensic examiners, police officers and professionals are encouraged
to apply. The expected school fees will be in the order of 1,600 €
for Phd students and 2,200 € for others (subject to change). The
fees will include full board accommodation, all courses and handling
material. A limited number of scholarships, covering a portion of the
fees, will be awarded to Phd students, selected on the basis of their
scientific background and on-going research work. Precedence will be
given to active members of IAPR and IEEE.

The scholarship request form can be downloaded from the school web

Phd students, researchers and post-docs are encouraged to submit a
short paper (6 pages maximum) for an oral presentation on their recent
research activity. Poster boards will be also available to all
participants to display their current research advances.

Send a filled application form (download from together with a short curriculum vitae to:

Prof. Massimo Tistarelli – e-mail:

Advance pre-registration is strictly required by February 15th 2020

School location

The school will be hosted by Hotel El Faro
( in the Capo Caccia bay, near Alghero,
Sardinia. This is one of the most beautiful resorts in the
Mediterranean sea. The property is beautifully immersed into the Capo
Caccia bay. The hotel El Faro has a recently renovated conference
center, fully equipped for scientific events. The school venue, as
well as the surroundings, proved to be a perfect environment for the
school activities.

School Committee:
Massimo Tistarelli
Computer Vision Laboratory – University of Sassari, Italy

Josef Bigun
Department of Computer Science – Halmstad University, Sweden

Enrico Grosso
Computer Vision Laboratory – University of Sassari, Italy

Anil K. Jain
Biometrics laboratory – Michigan State University, USA