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 nineteen 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 Machine Learning approaches? How to deal with adversarial attacks in biometric recognition? How can a biometric system learn continually?
This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 19^th edition, the courses will mainly focus on new and emerging issues:

•       The impact of AI and advanced learning techniques in Biometrics;
•       How to make “Deep Biometrics” systems explainable;
•       The advantages of continual learning for biometrics;
•       How to exploit new biometric technologies in forensic and emerging applications.

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 expected school fees will be in the order of 1,600 € (400 € in videoconference) for students and 2,200 € (800 € in videoconference) for others. The fees will include full board accommodation, all courses and handling material.
A limited number of scholarships, partially covering the fees, will be awarded to Phd students, selected on the basis of their scientific background and on-going research work.
The scholarship request form can be downloaded from the school web site http://biometrics.uniss.it

Send a filled application form (download from http://biometrics.uniss.it) together with a short resume to:     

Prof. Massimo Tistarelli – e-mail: biometricsummerschool@gmail.com

• Submission of applications: February 15th, 2022
• Notification of acceptance: March 20th, 2022
• Registration: April 25th, 2022

Advance pre-registration is strictly required by March 1^st 2022
 

School location

The school will be hosted by Hotel Dei Pini (https://www.hoteldeipini.com/ ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean Sea. The structure is beautifully immersed into the Capo Caccia bay. The hotel Dei Pini has a recently renovated conference centre, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities.

The school lectures will be delivered as a mixed mode event, allowing both physical (if the medical advice at the time of the school will allow it in full security) and remote attendance with videoconferencing facilities.

• For participants attending in videoconference, live lectures will be delivered online with full sharing of the lecturing material and allowing live interaction with the participants. Private and group meetings with each lecturer will be organised to deepen the discussion started in the class.

• Ad-hoc teleconferencing and communication tools will be also set up for practical hands-on sessions and to allow a good engagement of the participants and the lecturers.

• Open sessions will be organised with questions and answers moderated by the leading experts in the field.

The organisers and all lecturers are fully committed to make this year's school as successful, instructing and inspiring as in the past years.

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

Distinguished lecturers from past school editions