ISIFE 2023 Intelligent Systems in Forensic Engineering
ISIFE is an international workshop in a virtual form that focuses on the challenges of the digitization procedures in the field of forensic engineering, with particular emphasis on Artificial Intelligence (AI) techniques. Forensic engineering is related to the application of techniques and methods to serve justice, which require the cognitive analysis of large volumes of different types of data, including documents, videos, audios and images. AI can be employed in different tasks related to forensic engineering, such as DNA evidence, pattern recognition, crime scene reconstruction, digital forensics, image analysis and processing, psycho/narco-analysis, ballistics, and satellite monitoring. Intelligent systems, thanks to the use of reasoning-based algorithms, machine and deep learning, knowledge representation techniques, data discovery and analysis, computer vision methods, document classification and recognition algorithms and cybersecurity, can provide a clear advantage in forensic investigations, reducing the errors that may occur due to cognitive bias. ISIFE is part of the research activity of the National Research Project: Organizational models and digital innovation: the new Office for the process for the system efficiency Justice/MOD-UPP within the framework of the PON Governance and Institutional Capacity 2014-2020, owned by the Italian Ministry of Justice.
TOPICS
List of topics of interest include , but are not limited to the following:
Intelligent systems for analysis of forensic documents
Cybersecurity methods based on AI
Machine learning for network forensics
Events and data analysis methods
AI for file fragment classification
Deep learning and machine learning for image, acoustic and video forensics
Intelligent digitization procedures of forensic documents
Pattern recognition for firearm identification
AI methods for privacy and copyright infringement
Reasoning-based intelligent systems in forensic procedures
AI for data storage, digitization and retrieval in forensic structural engineering
Explainability, verifiability, safety and robustness of AI systems
ORGANIZING COMMITTEE
Alessia Amelio
Samuele Biondi
Regina Finocchiaro
Luciano Caroprese
Samantha Di Loreto
Sergio Montelpare
University “G. d’Annunzio” Chieti-Pescara, InGeo, Italy
PROGRAM COMMITTEE
Antonio Teti, DEA, University “G. d’Annunzio” Chieti-Pescara, Italy
Cezara Benegui, University of Bucharest, Romania
Christian Morbidoni, DEA, University “G. d’Annunzio” Chieti-Pescara, Italy
Ester Zumpano, DIMES, University of Calabria, Italy
Fabio Fioravanti, DEC, University “G. d’Annunzio” Chieti-Pescara, Italy
Gianluca Bellomo, DSGS, University “G. d’Annunzio” Chieti-Pescara, Italy
Irum Feroz, Northeastern University London, UK
Melania D’Angelosante, DSGS, University “G. d’Annunzio” Chieti-Pescara, Italy
Michele Ianni, DIMES, University of Calabria, Italy
Nadeem Ahmad, University of Central Punjab, Pakistan
Radu Tudor Ionescu, University of Bucharest, Romania
Roberto Martino, DSGS, University “G. d’Annunzio” Chieti-Pescara, Italy