جست‌وجوی استاد و پژوهشگر

• Cybersecurity
• Electronic Identity
• Network Security
• +۷ مورد دیگر

Antonio Lioy is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin. He serves as the Cyber Security Representative for the university in national and European government collaborations, is a member of the SmartData@PoliTO interdepartmental center, and acts as Scientific Advisor for the DRIVESEC partnership. His research is deeply rooted in cybersecurity, electronic identity, network and web security, and quantum-resistant systems. His research interests focus on cybersecurity , electronic identity , network security , web security , and quantum cryptography . He leads the TORSEC Security Group and conducts research in LAB 7, with a strong emphasis on trusted computing, post-quantum cryptography, IoT security, and secure network infrastructures. His work aligns with ERC sectors in computer systems and cryptology, and supports UN SDGs on innovation and sustainable cities. His recent publications show a strong trend toward post-quantum cryptography , remote attestation , trusted execution environments , and secure network virtualization . These works appear in top venues such as IEEE, ACM, and IFIP conferences, with a focus on securing future digital infrastructures against emerging threats. Themes include integrity management in softwarized networks, standard-based attestation, and quantum-resistant PKI strategies. He has supervised numerous PhD students, including Davide Colaiacomo, Francesco Vaccaro, Flavio Ciravegna, Grazia D'Onghia, Lorenzo Ferro, Francesco Settanni, Enrico Bravi, Silvia Sisinni, Luca Mannella, and Ignazio Pedone, whose research spans cybersecurity, quantum computing, and IoT. He leads multiple high-profile research projects such as Q-FENCE, QUBIP, SERICS, and FISHY, funded by Horizon Europe and national programs, demonstrating significant grant acquisition and leadership. He is actively involved in research labs and teams, primarily the TORSEC - Security Group (DAUIN) and LAB 7 - Research Laboratory (DAUIN) , which focus on applied cybersecurity research. His projects often involve collaboration with industry and government bodies, emphasizing real-world impact in secure digital identity, critical infrastructure protection, and quantum-safe transitions.

Li Liمشاهده پروفایل

استاد

• Mobile Software Engineering
• Intelligent Software Engineering
• Software Security
• +۶ مورد دیگر

Li Li is a Professor of Software Engineering at Beihang University , China. Previously, he served as an ARC DECRA Fellow and Senior Lecturer at Monash University , leading the SMart software Analysis and Trustworthy computing (SMAT) research lab at the Department of Software Systems and Cybersecurity. His academic journey includes a Ph.D. in Software Engineering from the University of Luxembourg (2016), supervised by IEEE Fellow Prof. Yves Le Traon and Dr. Jacques Klein. Research Interests Li's research focuses on Mobile Software Engineering (Mobile Security, Quality Assurance) and Intelligent Software Engineering (SE4AI, AI4SE). He applies static code analysis , dynamic program testing , and machine/deep learning to enhance software security and reliability. Key areas include Android API evolution, automated patch validation, and multi-language code analysis frameworks like Scalpel for Python. Scientific Recognition ARC DECRA Fellowship Rising SE Research Star Top-5 Most Impactful Early Career SE Researchers (2020, 2017) 5 Best/Distinguished Paper Awards across PLDI, WWW, ASE, MSR, and SANER Academic Contributions He has contributed to foundational Android analysis tools (e.g., AndroZoo++, DroidRA) and developed scalable systems for distributed program analysis (Seads). His work appears in top venues like ICSE, ESEC/FSE, ASE, ISSTA, POPL, and TSE.

Massimiliano Di Pentaمشاهده پروفایل

استاد

• Software Engineering
• Empirical Software Engineering
• Code Obfuscation
• +۱۱ مورد دیگر

Massimiliano Di Penta is an Ordinary Professor in the Department of Engineering (DING) at the University of Sannio . His research focuses on Software Engineering , Code Obfuscation , Software Security , and Empirical Software Engineering , with a strong emphasis on Open-Source Systems and Machine Learning in Software Development .

Patrizio Campisiمشاهده پروفایل

استاد

• Digital Signal Processing
• Image Processing
• Biometrics
• +۱۲ مورد دیگر

Patrizio Campisi is a Full Professor in the Section of Applied Electronics at the Department of Engineering, Roma TRE University, Rome, Italy. He leads cutting-edge research in digital signal and image processing with applications to secure multimedia communications and biometrics. He has held visiting positions at the University of Toronto, Beckman Institute (UIUC), and École Polytechnique de Nantes, and has been a Marie Curie Fellow (2010–2014). His educational background includes a Laurea (summa cum laude) in Electronic Engineering from Sapienza University of Rome and a Ph.D. in Electrical Engineering from Roma TRE University. His research focuses on secure biometric recognition (signature, keystroke, EEG, vein), digital watermarking, blind image deconvolution, HDR imaging, and privacy-preserving technologies. He has contributed significantly to template protection, multimodal biometrics, and forensic image analysis. His work bridges engineering, computer science, and security, with strong applications in mobile authentication, border control, and social media safety. The recent publications reflect a strong trend in biometrics, image forensics, and privacy-enhancing technologies, with a focus on real-world applications in mobile systems, healthcare, and law enforcement. Key themes include secure authentication, de-identification, and computational imaging. IEEE Second International Conference on Biometric Systems 2008 Best Student Paper Award IEEE Biometric Symposium 2007 Best Paper Award IEEE International Conference on Image Processing 2006 Best Student Paper Award Marie Curie Fellow (2010–2014) NATO-CNR Advanced Fellowship (2003) IEEE Senior Member Prof. Campisi has supervised numerous students and leads the BioMedia4n6 lab. He has secured major EU grants including H2020 projects AMBER, COSMOS, and ENCASE. His editorial leadership includes serving as Editor-in-Chief of IEEE Transactions on Information Forensics and Security (2018–2020) and Chair of the IEEE Information Forensics and Security Technical Committee (2017–2018). He is actively involved in research networks such as COST Actions on de-identification and biometrics-forensics integration, and has contributed to EU policy via the BEST Thematic Network on biometrics and fundamental rights. His lab, BioMedia4n6, focuses on biometrics, multimedia forensics, and privacy-aware systems.

Luca Verderameمشاهده پروفایل

دانشیار

• Mobile Security
• Android Security
• IoT Security
• +۳ مورد دیگر

Luca Verderame is an Associate Professor in the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS) at the University of Genoa. His academic role includes teaching advanced courses such as Mobile Security, Mobile Programming, and Mobile Programming Module 2 at both undergraduate and master's levels. Research focuses on cybersecurity, particularly in mobile ecosystems, IoT firmware integrity, and application security testing tools. Key research contributions include MarvelHideDroid (2025) for Android data anonymization, kernel-level obfuscation analysis (2024), and SEBASTIAn, a cross-platform security testing tool (2023). His work bridges theoretical cybersecurity principles with practical implementations in embedded systems and cloud environments. Contact: luca.verderame@unige.it

• Data Mining
• Process Mining
• Knowledge Representation
• +۵ مورد دیگر

Antonella Guzzo is an Assistant Professor (ING-INF/05) at the Faculty of Engineering, University of Calabria, affiliated with the Department of Electronic Informatics and Systems (DEIS). Her research spans Data Mining, Process Mining, Federated Learning, and Knowledge Representation, with applications in Cyber Security and Bioinformatics. Laurea (2000) and Ph.D. (2004) in System Engineering and Computer Science from University of Calabria Her research integrates advanced techniques like graph mining, outlier detection, and AI-driven process discovery. She contributes to projects like TOCAI.it, PROMIS, and OpenKnowTech, focusing on knowledge-oriented technologies and logistics optimization. Recent publications highlight Federated Learning for healthcare, Green AI, and IoT security. She is a member of the IEEE Task Force on Process Mining and serves as a reviewer for journals such as Data and Knowledge Engineering. Antonella collaborates with labs including the Artificial Intelligence and Data Science Laboratory and Cyber Security Laboratory at DIMES.

• Multimedia Security
• Multimedia Forensics
• Adversarial Machine Learning
• +۷ مورد دیگر

Tiziano Bianchi is a Full Professor in the Department of Electronics and Telecommunications at Politecnico di Torino (Polytechnic of Turin), Italy. He serves as the Course Coordinator for the Master's Degree in ICT Engineering for Smart Societies and is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. Previously, he was an Assistant Professor at the same institution starting in 2012, having joined from the University of Florence where he worked as a Research Assistant from 2005 to 2012. Dr. Bianchi's research focuses on multimedia security technologies, with particular expertise in multimedia forensics, signal processing in the encrypted domain, and security aspects of compressed sensing. His work spans adversarial machine learning, image and video forensics, deep learning for video compression, secure authentication based on deep learning, and satellite image compression. He has made significant contributions to privacy-preserving data processing through compressed sensing techniques. His recent publications demonstrate a strong emphasis on applying deep learning to solve complex problems in image processing, security, and data compression. The research shows a clear trajectory toward efficient, secure, and privacy-preserving processing techniques, particularly for resource-constrained environments like wearable devices and satellite systems. Among his notable recognitions are the Journal of Visual Communication and Image Representation Best Editor of 2022 Award, The SIGMM Test of Time Paper Honorable Mention in Multimedia Security and Privacy, and the 2019 Best Paper Award from IEEE MultiMedia. He has also received multiple editorial awards for his work as Senior Area Editor for the Elsevier Journal of Visual Communication and Image Representation and Associate Editor for the IEEE Transactions on Information Forensics and Security. Dr. Bianchi is the co-founder of ToothPic, a startup offering breakthrough technologies for camera identification, and has co-invented four patents related to cryptographic key obfuscation, user authentication, and camera recognition techniques. He has authored over 100 papers in international journals and conference proceedings, demonstrating sustained scholarly productivity throughout his career.

Mariano Ceccatoمشاهده پروفایل

دانشیار

• Security Testing
• Penetration Testing
• Code Hardening
• +۵ مورد دیگر

Mariano Ceccato is an Associate Professor in the Department of Computer Science at the University of Verona, Italy. With a PhD in Computer Science from the University of Trento (2006), he has led numerous publicly funded and industrial research projects. His expertise includes security testing, penetration testing, code hardening, and empirical studies. Principal Investigator in multiple research initiatives Visiting Research Scientist at the University of Luxembourg Author/co-author of over 100 peer-reviewed papers Research Focus His work spans Android security, Ethereum smart contracts, REST APIs, and software protection techniques. Key contributions include: Security testing frameworks using reinforcement learning Advanced static analysis for Ethereum bytecode Novel obfuscation strategies for Java/Android Empirical studies on security report usability Comparative analysis of malware detection techniques Scientific Contributions He has received multiple awards including the Best Paper at IEEE ICST 2022, Best Research Paper at IEEE/ACM ICSE 2023, and ACM Distinguished Paper awards.

Leonardo Querzoniمشاهده پروفایل

استاد

• Cybersecurity
• Stream Processing
• Dependable Distributed Systems
• +۶ مورد دیگر

Leonardo Querzoni is a Professor at the Department of Computer, Automatic and Management Engineering Antonio Ruberti within Sapienza University of Rome . He currently serves as Deputy Rector for Digital Technologies and Cybersecurity (2024-2026) and President of the CYBER 4.0 Competence Center since 2022. His academic career spans over two decades with 120+ publications. PhD in Computer Engineering (2007) with thesis "Techniques for Efficient Event Routing" Coordinates Italy's first joint PhD program in Cybersecurity (Sapienza-Luiss) Co-author of Italy's National Cybersecurity Framework Research spans Cybersecurity , Stream Processing , Dependable Distributed Systems , and Big Data Scalability . Particular focus areas include: Malware analysis and incident forensics Secure distributed systems Binary code analysis using neural networks Security for cyber-physical systems IoT attack triage Stream processing optimization Key awards: 2023 DEBS 10 Years Time Award 2021 ASPLOS Distinguished Paper 2019 DIMVA Best Paper Runner-Up 2017 DEBS 10 Years Time Award Active in European projects EU-GUARDIAN, ATENA, and national initiatives like PRIN TENACE. Industry collaborations include: Presidenza del Consiglio dei Ministri Leonardo-Finmeccanica CISCO Research Banca MPS

Davide Maiorcaمشاهده پروفایل

استادیار

• Cybersecurity
• Malware Detection
• Adversarial Machine Learning
• +۳ مورد دیگر

Davide Maiorca is a Senior Assistant Professor (RTD-B) of Computer Engineering at the University of Cagliari, Italy. He leads research in cybersecurity, specializing in malware detection, adversarial machine learning, and digital forensics. His work focuses on analyzing X86 and Android malware, malicious documents (e.g., PDF, Office files), and the robustness of AI-driven security tools. He holds a Master of Science in Electronic Engineering (2012, 110/110 cum laude) and a Ph.D. in Electronic Engineering and Computer Science (2016), both from the University of Cagliari. Since 2012, he has been a core member of the PRALab (Pattern Recognition and Applications Laboratory), contributing to open-source tools like Oblivion for macro-based malware analysis and PowerDrive for PowerShell malware deobfuscation. His research emphasizes cybersecurity challenges in mobile and embedded systems, including Android stegomalware, HTTP/3 vulnerabilities, and IoT security. He has over 25 publications in top-tier conferences and journals, addressing topics like adversarial ML evasion, malware dataset quality, and cross-site scripting detection tools. Awards: National Scientific Qualification (ASN) as Associate Professor (ING-INF/05) in 2021. Professional Affiliations: IEEE, ACM, INSTICC, AIxIA, and CVPL. Dr. Maiorca’s work bridges theoretical research and practical applications, with a focus on improving malware detection robustness and addressing emerging threats in AI-driven cybersecurity systems.

Corrado Aaron Visaggioمشاهده پروفایل

دانشیار

• Cybersecurity
• Malware Analysis
• Software Engineering
• +۴ مورد دیگر

Corrado Aaron Visaggio is an Associate Professor at the Department of Engineering (DING) of the University of Sannio. His research focuses on cybersecurity, malware analysis, software engineering, and data privacy. He has contributed to advancing static/dynamic malware detection techniques, Yara rule evaluation, IoT anomaly detection, and blockchain smart contract development analysis. His work includes developing frameworks for privacy policy enforcement and empirical validation of software process metrics. Key research areas include malware classification using machine learning, static analysis of JavaScript malware, and systematic reviews on IoT security and blockchain applications. Notable collaborations involve studies on SQL injection vulnerabilities and Android malware classification. His publications span conferences like IEEE and journals in software security, highlighting interdisciplinary approaches combining empirical studies with technical innovations.

Massimo La Morgiaمشاهده پروفایل

استادیار

• Computer Systems Security
• Cybersecurity
• Blockchain Technology
• +۵ مورد دیگر

Massimo La Morgia is an Assistant Professor at the Department of Computer Science, Sapienza University of Rome. He holds a Laurea Degree (summa cum laude) and a Ph.D. in Computer Science from Sapienza University. His research focuses on cybersecurity, blockchain ecosystems, social media analysis, and IoT systems. He has received awards including the 2017 Initio alla Ricerca and 2021 Invio alla Ricerca from Sapienza. His work bridges academia and industry through technology transfer projects in mobile technology, proximity payments, and machine learning applications. Key research areas include cryptocurrency market manipulation (e.g., pump-and-dump schemes), Telegram channel analysis (fake/clone detection), and defensive mechanisms against intellectual property theft. He has developed large-scale datasets like TGDataset for social network studies and pioneered studies on DeFi sniper bots and conspiracy channel economics. His publications span ACM Transactions, IEEE journals, and top conferences like USENIX Security and ACM SIGKDD. Beyond research, he advises on tunnel boring machine risk prediction tools and has pioneered web applications for structural engineering analysis.

• Cybersecurity
• Software Security
• Formal Methods
• +۵ مورد دیگر

Mila Dalla Preda is an Associate Professor at the University of Verona's Department of Computer Science, affiliated with the College of Science and Engineering. She holds multiple institutional roles including membership in the Faculty Board of PhD in Computer Science, Computer Science Teaching Committee, and Commissione AQ Ricerca. Her work focuses on software security, code protection, and formal methods. Research interests include static program analysis, formal software security, and semantic-based obfuscation techniques. She leads projects like 'Securing sOFTWARE Platforms' (2024) and 'BinTrace: Binary Similarity Analysis' (2020). Key contributions involve malware detection, program similarity analysis, and blockchain security through tools like Ethersolve. Active in teaching, she instructs courses on Compilers, Software Security, and Data Privacy across undergraduate and graduate programs. Her lab affiliations include the SPY Laboratory (Formal Methods) and collaborates with spin-off companies like 3Dflow s.r.l. and eVS embedded Vision Systems s.r.l.

• Abstract interpretation
• Security
• Static program analysis
• +۶ مورد دیگر

Isabella Mastroeni serves as an Associate Professor in the Department of Computer Science at the University of Verona, where she holds the position of Professore II fascia in Informatics (INFO-01/A). She is actively involved in research and teaching within the university's Science and Engineering Area, with her office located in Ca' Vignal 2, Floor 1, Room 88. Her research focuses on two primary areas: abstract interpretation and security. Within abstract interpretation, she studies programming language semantics and static analysis techniques, including for dynamic programming languages. Her security research spans language-based security with emphasis on non-interference models, malware detection through code similarity analysis, code protection via obfuscation techniques, and analysis of security properties to prevent code injection attacks. She publishes in top international venues including programming language conferences (POPL, ESOP, SAS, PEPM), security journals (TOPS, JCS), and formal computer science publications (FACJ, TCS, MSCS). Professor Mastroeni serves as a member of the SPY (Formal Methods) Laboratory and has led numerous research projects, including recent initiatives such as Learning Safe Behaviours for human-robot cooperation (BEHAVE), Securing sOftware Platforms, and Novel Methodologies and Tools for Next Generation Cyber Ranges (NOMEN). Her current research interests are categorized under ERC sectors PE6_5 (Security, privacy, cryptology), PE6_3 (Software engineering, programming languages), and PE6_4 (Theoretical computer science, formal methods). She holds significant administrative responsibilities including Chair of the Commissione AQ Laurea triennale in Informatica, Quality Assurance Representative for the Computer Science degree program, and membership on multiple governing bodies including the Faculty Board of PhD in Computer Science and the Computer Science Teaching Committee. Professor Mastroeni teaches across multiple programs including Educational Technology Laboratory for Primary Teacher Education, Foundations of Computing, Programming Languages, and Software Analysis for Computer Science bachelor's and master's degrees. Her teaching spans from foundational courses to advanced specialized topics reflecting her research expertise.

Paolo Falcarinمشاهده پروفایل

دانشیار

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +۵ مورد دیگر

Paolo Falcarin is an Associate Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. His research focuses on cybersecurity, software engineering, and AI compliance, with notable contributions to software protection mechanisms, reverse engineering defenses, and cyber-physical systems. He actively participates in editorial roles for journals like Computers & Security and serves on program committees for IEEE/ACM conferences. Key Projects: ASPIRE (EU FP7), SERICS (PNRR), and Flexymob (Currant s.r.l.) Research Interests: Cybersecurity Knowledge Graphs, Runtime Security (Falco), AI Act Compliance, and Software Renewability His work bridges theoretical cybersecurity advancements with practical applications in distributed systems and IoT. Recent publications emphasize anomaly detection in large-scale systems and regulatory compliance frameworks for AI.