4EU+ online seminars on "Security, Privacy, and Data Protection"
Decision support systems for forensic anthropology and odontology
17 March 2022 16:00 – 17:30 CET Link to online seminars: Zoom
Abstract
Forensic anthropology and odontology are subfields of the anatomical science of anthropology, which is usually applied in a legal or humanitarian setting. Examples of frequently treated problems consist of identifying, estimating the age, inferring the gender, guessing the ethnicity, and estimating the death moment of deceased individuals. Other problems consist of supporting police investigations by estimating distinctive characteristics of living individuals from images and videos, which can be acquired by surveillance cameras, in a scene of the crime or in other scenarios. Currently, forensic scientists perform these analyses by using software tools for measuring and superimposing anatomical structures and peculiar features in the images. Expert systems able to automatically process data and provide a result of the analysis could be of paramount importance to speed up the evaluations and increase their repeatability. In this talk, I will present automatic decision support systems designed for identity recognition and for estimating additional discriminative information from samples acquired from heterogenous physiological characteristics. These systems are designed to be robust to data presenting relevant non-idealities and are frequently based on artificial intelligence approaches and deep neural networks.
Short bio
Ruggero Donida Labati received the Ph.D. degree in computer science from the Università degli Studi di Milano, Italy, in 2013. Since 2015, he has been an Assistant Professor with the Università degli Studi di Milano. He has been a Visiting Researcher with Michigan State University, MI, USA. His original results have been published in more than 70 papers in international journals, proceedings of international conferences, books, and book chapters. His research interests include biometric systems, artificial intelligence and machine learning, signal and image processing, pattern analysis and recognition, and theory and industrial applications of neural networks. Dr. Donida Labati is currently an Associate Editor of Journal of Ambient Intelligence and Humanized Computing (Springer).

4EU+ online seminars on "Security, Privacy, and Data Protection"

Decision support systems for forensic anthropology and odontology

17 March 2022
16:00 – 17:30 CET

Link to online seminars: Zoom

Abstract

Forensic anthropology and odontology are subfields of the anatomical science of anthropology, which is usually applied in a legal or humanitarian setting. Examples of frequently treated problems consist of identifying, estimating the age, inferring the gender, guessing the ethnicity, and estimating the death moment of deceased individuals. Other problems consist of supporting police investigations by estimating distinctive characteristics of living individuals from images and videos, which can be acquired by surveillance cameras, in a scene of the crime or in other scenarios. Currently, forensic scientists perform these analyses by using software tools for measuring and superimposing anatomical structures and peculiar features in the images. Expert systems able to automatically process data and provide a result of the analysis could be of paramount importance to speed up the evaluations and increase their repeatability. In this talk, I will present automatic decision support systems designed for identity recognition and for estimating additional discriminative information from samples acquired from heterogenous physiological characteristics. These systems are designed to be robust to data presenting relevant non-idealities and are frequently based on artificial intelligence approaches and deep neural networks.

Short bio

Ruggero Donida Labati received the Ph.D. degree in computer science from the Università degli Studi di Milano, Italy, in 2013. Since 2015, he has been an Assistant Professor with the Università degli Studi di Milano. He has been a Visiting Researcher with Michigan State University, MI, USA. His original results have been published in more than 70 papers in international journals, proceedings of international conferences, books, and book chapters. His research interests include biometric systems, artificial intelligence and machine learning, signal and image processing, pattern analysis and recognition, and theory and industrial applications of neural networks. Dr. Donida Labati is currently an Associate Editor of Journal of Ambient Intelligence and Humanized Computing (Springer).