Thematic Session 11

THEMATIC SESSION #11

Donato Impedovo

University of Bari Aldo Moro, Italy

• donato.impedovo@uniba.it

Vincenzo Gattulli

University of Bari Aldo Moro, Italy

• vincenzo.gattulli@uniba.it

Giulia Orrù

University of Cagliari, Italy

• giulia.orru@unica.it

Marco Micheletto

University of Cagliari, Italy

• marco.micheletto@unica.it

In the current landscape, characterized by complex and high-risk scenarios, including digital device security, cyberattack prevention, and the protection of sensitive information, the integration of Human Activity Recognition (HAR), Text Analysis, and Cybersecurity represents an innovative and groundbreaking approach. These advanced technologies offer a powerful tool to monitor, analyze, and safeguard user interactions, dynamically responding to the challenges of an ever-evolving context where individuals may also face subtle or persistent threats in digital spaces. Indeed, this workshop will explore how the synergistic integration of these topics can redefine system protection, enhance decision-making processes, and increase individual security.

It is essential to submit contributions that present recent innovations in these fields, emphasizing the role of HAR, interaction dynamics, and Continuous Authentication systems in fostering behavioral insights, real-time security, and privacy protection. Topics of interest include advanced HAR methodologies, Semantic Text Analysis, adaptive user authentication mechanisms, and Anomaly Detection.

This session will highlight how these advancements can empower users in dynamic and high-pressure environments, enabling secure and efficient workflows while building resilience against unforeseen challenges. By fostering collaboration between advanced technologies and robust security frameworks, these innovations have the potential to transform the way we address and manage critical situations in the real world.

The list of topics includes the following ones:

• DeepFake detection;
• Human Activity Recognition (HAR);
• Text Analysis;
• Cybersecurity;
• Digital Device Security;
• Cyberattack Prevention;
• Interaction Dynamics;
• Continuous Authentication;
• Privacy Protection;
• Behavioral Biometrics;
• Anomaly Detection.

Donato Impedovo is Associate Professor at the Department of Computer Science of the University of Bari (IT). His research interests are in the fields of signal processing, pattern recognition, machine learning and biometrics. He is co-author of more than 130 articles on these fields in both international journals and conference proceedings. He received the “Distinction” award in May 2009 at the International Conference on Computer Recognition Systems (CORES — endorsed by IAPR), and the first prize of the Nereus-Euroavia Academic competition on GMES in October 2012. Professor Impedovo is also very involved in research transfer activities as well as in industrial research, he has managed more than 25 projects funded by public institutions as well as by private enterprises. Professor Impedovo is IEEE Access, IEEE OJ-CS and SN Computer Science Associate Editor. He has been appointed as 2020 Outstanding IEEE ACCESS Associate Editor. He serves as reviewer for many international journals including IEEE THMS, IEEE T-SMC, IEEE-TIFS, IEEE-TECT, Pattern Recognition and many others. He serves as Reviewer and Rapporteur for the EU projects evaluation. He was the General Co-Chair of the International Workshop on Smart Cities and Smart Enterprises (SCSE 2018), International Workshop on Artificial Intelligence with Application in Health (WAIAH 2018), Emergent Aspects in Handwritten Signature Processing (EAHSP 2013) and of the International Workshop on Image-Based Smart City Application (ISCA 2015). He has been member of the scientific committee and program committee of many international conferences in the field of computer science, pattern recognition and signal processing such as the ICPR and ICASSP. He is an IAPR member and IEEE senior member.

Vincenzo Gattulli holds both a bachelor’s and master’s degree in computer science from the University of Bari Aldo Moro. He has actively contributed to projects centered on Cyber Security and Machine Learning, resulting in consecutive publications. His primary research focus lies within the realm of cyber security. Previously, he served as an IT consultant at the academic spin-off of the University of Bari Aldo Moro, “Digital innovation srl (DIVA).”Currently, he is pursuing a Ph.D. in Computer Science and Mathematics, sponsored by the National Operational Programme for Research and Innovation 2014-2020 (CCI 2014IT16M2OP005), FSE REACT-EU resources, encompassing Action IV.4 “Doctorates and research contracts on innovation themes” and Action IV.5 “Doctorates on Green themes.” His doctoral endeavor, titled “Biometrics for Safety and Health in Real-World Contexts,” is financially supported under the aforementioned program, with grant code DOT1302947 and CUP H99J21010060001.

Giulia Orrù is currently assistant professor at the University of Cagliari (Italy), Pattern Recognition and Applications Laboratory (PRA Lab). Her research focuses on face recognition, fingerprint presentation attack detection, crowd analysis, adaptive biometric systems and deepfake detection. She acts as a referee for international journals and conferences on pattern recognition, biometrics and image processing.

Marco Micheletto is currently a assistant professor with the Pattern Recognition and Applications Laboratory (PRA Lab), University of Cagliari. His research interests include integration of fingerprint comparison systems with presentation attack detector, fingerprint liveness detection, electroencephalography signal processing for biometric purposes and deepfake detection.