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Resume (English only)
Academic Achievements
Published numerous papers, including works on the application of randomness in DAG-based federated learning, FLAIR: Distributed Federated Learning with Dynamic Clustering, and more. Involved in several international collaborative projects.
Research Experience
Supervised six PhD students working on areas such as distributed federated learning, low-energy blockchain, and multi-domain network orchestration; supervised eleven doctoral graduates (2010-2023) whose research spanned from reliability in wireless body area networks to security across blockchains.
Background
Professor, with research interests in distributed systems, blockchain, and federated learning, among others.