Department of Computer Engineering (Dpt. de Informática de Sistemas y Computadores)
School of Informatics (Escuela Técnica Superior de Ingeniería Informática)
https://grc.webs.upv.es/members/pmanzoni
My page @ UPV, Google scholar, ResearchGate, Scopus, IEEE
Research Ids: Orcid, ResearchId
<aside> <img src="/icons/username_orange.svg" alt="/icons/username_orange.svg" width="40px" /> Pietro Manzoni’s Contact Info
https://pmanzoni.notion.site/contact
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Pietro Manzoni is a Professor of Computer Engineering at the Universitat Politècnica de València (UPV), Spain. He received a master's degree in Computer Science from the Università degli Studi of Milan, Italy, in 1989, and a Ph.D. in Computer Science from the Politecnico di Milano, Italy, in 1995. From November 1992 to February 1993, he was an intern at Bellcore Labs, Red Bank, New Jersey, USA. From February 1994 to November 1994, he was a visiting researcher at the International Computer Science Institute (ICSI), Berkeley, California, USA.
His research has consistently focused on leveraging Mobile Wireless Networks to design dynamic and adaptive systems. Currently, his work concentrates on developing solutions for the Internet of Things (IoT), focusing on LPWAN technologies and publish/subscribe (Pub/Sub) communication models. These solutions are applied across various domains, including environmental intelligence and Smart Tourism services.
He is especially interested in integrating TinyML-based approaches on resource-constrained devices to enable local, low-power intelligence at the edge. By pushing computational capabilities closer to the data sources, his research seeks to minimize energy consumption and network load while enhancing the autonomy of IoT deployments.
In addition, he investigates the challenges of ensuring seamless and efficient communication across the edge-cloud continuum. His work focuses on strategies for distributed processing, adaptive orchestration, and connectivity management, facilitating scalable, resilient, and sustainable IoT systems that operate effectively between edge nodes and cloud infrastructures.
He values empirical research and places a strong emphasis on experimental validation. His methodology is grounded in developing, deploying, and testing working prototypes to rigorously evaluate system performance, scalability, and robustness under real-world conditions.
He is the coordinator of the Computer Networks Research Group (GRC), a senior member of the IEEE, and a member of the IEEE Technical Committee on Hyper-Intelligence, the IEEE SIG on Metaverse, and the ACM SIGCAS - Computers and Society.