Special Session 12

SPECIAL SESSION #12

Aldo Franco Dragoni

Università Politecnica delle Marche, Italy

• a.f.dragoni@univpm.it

Paolo Sernani

Università di Macerata, Italy

• paolo.sernani@unimc.it

Milena Martarelli

Università Politecnica delle Marche, Italy

• m.martarelli@univpm.it

Paolo Contardo

Università Politecnica delle Marche, Italy

• p.contardo@univpm.it

AI technologies in Forensic Science and Criminal Investigation are aiding the police not only in crime detection but also in prevention and prediction.

By "forensic evidence" we mean items such as fingerprints, blood, fibers, and crime tools (knives, guns, crowbars, etc.).

AI is helping in dealing with forensic evidence through classical approaches such as Data Analysis and Mining, Image Processing, Computer Vision, Statistical Analysis, and Probabilistic Methods.

AI is also aiding forensic experts and investigators by formulating logical evidence, 3D reconstruction of crime scenes, handling evidence effectively, and analyzing it to reach logical conclusions at various levels of investigation.

AI-based algorithms can detect a huge amount of data to discover risks and are used for detection, prevention, and even prediction of future crime or criminal behavior.

Currently, examples of specific interests are the control of large or open spaces and the prevention of terrorist attacks.

Topics include but are not limited to:

• Face Recognition;
• Fingerprint Pattern Identification, Classification, and Comparison;
• Crime Scene Reconstruction and Extended Reality;
• Violence Detection in Videos;
• Classification of spectral images;
• Police Investigation Support Systems;
• Audio Classification, Noises, and Voices;
• Artificial Intelligence Face Estimation;
• Biological Age Determination;
• AI in Forensic Medicine, Dentistry, Anthropology;
• DNA Mining;
• Neural Coding and Decoding of DNA;
• Biometric image databases;
• Forensic facial determinations;
• Forensic iris examination;
• Gait Recognition;
• Weapon detection;
• Forensic Ballistics;
• Drugs detection;
• Forensic chemistry;
• Detection of explosive materials.

Aldo Franco Dragoni, is in charge as Associate Professor at the Università Politecnica delle Marche, where he teaches “Artificial Intelligence” and “Dedicated Operating Systems”. He is the head of the Artificial Intelligence and Real-Time Systems Laboratory of "Università Politecnica delle Marche", focusing on Artificial Intelligence problems to be solved within precise time constraints (i.e. deadlines). His scientific interests concern several aspects of Artificial Intelligence, from classic knowledge-based approaches to more advanced hybrid systems that integrate symbolic reasoning with neural networks. In addition, he opened a new application area for Artificial Intelligence, called “NetMedicine”, which means every “intelligent” health-related activity which is carried on through the Internet.

Paolo Sernani, is currently an Assistant Professor at the Department of Law of the University of Macerata. He received a Ph.D. degree in Information Engineering at Università Politecnica delle Marche in March 2016, defending a thesis entitled “Design and Virtualization of intelligent systems for the Management of assistive environments” dealing with the application of Multi-agent Systems to manage assistive smart environments. His main research interests include expert systems, deep learning, and hybrid techniques.

Milena Martarelli, received an M.S. degree in mechanical engineering from Università Politecnica delle Marche (UNIVPM), Ancona, Italy, in 1997, and a Ph.D. degree in structural mechanics from Imperial College London, London, U.K., in 2001. She is currently an Associate Professor at eCampus University, Novedrate, Italy, with 20 years of experience in mechanical and thermal measurement. She has authored or co-authored 74 papers published in conference proceedings and 33 in international scientific journals. Her current research interests include non-contact measurement sensors and technology applied to nondestructive diagnostics and Vibro-acoustics for electromechanical systems performance assessment.

Paolo Contardo, is a Ph.D. student at the AIRTLab (Artificial Intelligence & Real-Time Laboratory) for the projects "Dactyloscopy 2.0", "Fotosegnalamento 2.0", and "Violence detection in videos" which fall within the topics covered with the understanding agreement between the UNIVPM CARMELO inter-departmental research center (i.e., Center for Advanced Research on Measurements for Engineering and Life Optimization) and the "Ministero dell’Interno, Dipartimento della Pubblica Sicurezza, Direzione Centrale Anticrimine della Polizia di Stato".