معرفی
Jorge Lobo is an ICREA Research Professor at the Department of Information and Communication Technologies at Universitat Pompeu Fabra (UPF) and holds a Visiting Professor appointment at Imperial College London's Department of Computing. He holds a Ph.D. in Computer Science from the University of Maryland (1990), an M.S., and B.E. from Simon Bolivar University. His career includes roles at IBM Research, Bell Labs, and academic positions at the University of Illinois at Chicago.
His research focuses on AI, Network & Distributed Systems Management, Security/Privacy, and policy-driven systems. He pioneered policy-based network management, developing the PDL language and contributing to policy enforcement frameworks in telecommunication networks. His work spans policy languages (XACML, PMAC), role mining algorithms, and security policy analysis. He holds 7 patents in policy technologies and has authored two books with over 100 refereed publications.
- Key contributions: Policy-based systems, neuro-symbolic learning, privacy-preserving frameworks, and declarative distributed computing
- Notable achievements: ACM Distinguished Scientist, IBM Identity Management Product implementations
Recent publications (2020-2024) emphasize neuro-symbolic learning, federated learning frameworks, differential privacy, and AI-driven security solutions. His work bridges formal logic with machine learning to create interpretable systems for complex challenges in network management and policy enforcement.
Labs/Teams: Active in UPF's Artificial Intelligence and Machine Learning group. Collaborates internationally on policy-aware systems and declarative networking architectures.
