UniCa UniCa News Avvisi Seminario Prof. Anil Jain: BIOMETRIC: VISION 2020 – 29 Luglio 2020 Ore 16:00

Seminario Prof. Anil Jain: BIOMETRIC: VISION 2020 – 29 Luglio 2020 Ore 16:00

Autore dell'avviso: [70/90] Corso di Laurea Mag. Comp. Eng. Cyber AI

15 luglio 2020
Il 29 Luglio 2020 alle 16:00 il Prof. Gian Luca Marcialis, professore di Biometric Technologies and Behavioural Security nel corso di Laurea Magistrale in Computer Engineering, Cybersecurity and Artificial Intelligence, coordinerà il seminario del Prof. Jain sul tema Biometric: Vision 2020


L'incontro si terrà sulla piattaforma Microsoft Teams seguendo il collegamento https://bit.ly/JainUniCa2020.

Abstract: Over the past 30 years, biometric recognition has permeated our society as seen by its use in unlocking smart phones, international border crossing, access control, surveillance and national ID programs. These applications are in addition to the long standing (~100 years) use of biometrics in law enforcement and forensics. India’s national ID program, Aadhaar, with over 1.3 billion enrollments (using face, ten fingerprints, and two irides) has displaced the FBI’s NGI as the world’s largest biometric system by an order of magnitude. The use of biometric traits either by themselves or in conjunction with other tokens, such as ID cards or one-time-passwords (multi-factor authentication), is in response to the growing concerns about efficient and secure delivery of services.  While both academic researchers and biometric vendors have proposed use of different biometric traits, an overwhelming majority of large-scale biometric systems are based on face, fingerprint, and iris, or some combination of them (multi-biometrics).  Despite this progress, like any security mechanism, biometrics has its limitations. The past decade has seen a growing push towards improving the recognition performance of biometrics, especially in unconstrained scenarios. The next decade will likely see a growing emphasis on trust and privacy, Identity for Development and Identity for All. In this talk, Prof. Jain would present some of these challenges, including (i) discriminability and persistence of biometric traits, (ii) system security (template protection and anti-spoofing), (iii) large-scale search, and (iv) data privacy

Anil Jain is a Distinguished Professor of Computer Science at Michigan State University. He is a Fellow of the ACM and IEEE and is a recipient of Guggenheim, Humboldt, Fulbright, and King-Sun Fu awards. He served as editor-in-chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), and a member of the United States Defense Science Board and Forensic Science Standards Board. Jain was elected to the U.S. National Academy of Engineering, Indian National Academy of Engineering and Chinese Academy of Sciences.
Prof. Jain has given priceless contributions to the scientific state of the art on computer vision, image processing, biometrics. The 6th Edition of 2020 Ranking of Top 1000 Scientists in the field of Computer Science and Electronics ranked him as the first one among computer scientists in the world.

Ultimi avvisi

05 dicembre 2021

Ricevimento Russo Prof. Massimo Tria: 7 dicembre, ore 14:00 - 15:00 // 9 dicembre, ore 10:30 - 12:30 // ONLINE OPPURE IN PRESENZA

Il Ricevimento è in presenza, chi vorrà fare ricevimento online su Teams, userà il seguente link per il 7 DICEMBRE: https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZDAzYjI5Y2MtMTQ4ZC00NjZhLTkwYTgtNWY0NTc0MjMxZjU5%40thread.v2/0?context=%7b%22Tid%22%3a%226bfa74cc-fe34-4d57-97d3-97fd6e0edee1%22%2c%22Oid%22%3a%2232e7b76f-7949-482d-a8f1-75cbf27a3b1e%22%7d e il seguente per il 9 DICEMBRE: https://teams.microsoft.com/l/meetup-join/19%3ameeting_NDNmNGQ1YzItZTU1Zi00ZDc4LWFiMDYtNGE3NzEyZWE2YzI0%40thread.v2/0?context=%7b%22Tid%22%3a%226bfa74cc-fe34-4d57-97d3-97fd6e0edee1%22%2c%22Oid%22%3a%2232e7b76f-7949-482d-a8f1-75cbf27a3b1e%22%7d Si prega di indicare preventivamente per mail (massimo.tria@unica.it) l'argomento di cui si vuole parlare. La sera prima invierò GLI ORARI PRECISI ai singoli studenti, in modo da evitare assembramenti.

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