Paolo Falcarin

Paolo Falcarin is an Associate Professor at the Department of Environmental Sciences, Computer Science and Statistics at Ca' Foscari University of Venice. His research focuses on software security, distributed systems, and reverse engineering. He is actively involved in the international academic community, serving on program committees of major conferences including ASE 2023 and BDCAT 2023.

His research interests span multiple domains within computer science and information technology. Key areas include:

• Software Security and Reverse Engineering
• Distributed Systems
• Artificial Intelligence applications in security
• Software Testing methodologies
• Project Management in software development
• Software Compliance with the AI Act

Dr. Falcarin's recent research has focused on cybersecurity knowledge graphs, run-time security with Falco, software compliance with the EU AI Act, and software protection for Android. His work bridges theoretical computer science with practical applications in security and software engineering. His research has been funded by various sources including the European Union FP7 program, private companies, and national research initiatives.

Among his notable professional activities, Dr. Falcarin serves as an Associate editor of the journal Computers & Security (Elsevier) and is a member of the Program Committee for the IEEE/ACM International Conference on Automated Software Engineering (ASE 2023). He has also served as a reviewer for national and international research projects including PRIN projects for MUR Italy and projects for the Christian Doppler Institute in Austria.

His professional service includes membership on the Steering Committee of the CheckMATE workshop and participation in editorial boards of scientific journals. Dr. Falcarin has contributed to several research projects including ASPIRE (Advanced Software Protection: Integration Research Exploitation) funded by the European Union FP7, Flexymob funded by Currant s.r.l., and SERICS - Supply Chain Attack Avoidance (SCAI) funded by MIUR - PNRR.