Lorenzo Carnevale

Assistant Professor at University of Messina


Lorenzo Carnevale | Assistant Professor at University of Messina

Research Agenda

As enhanced devices at the edge of the network exploit artificial intelligence, even novel computing challenges are raised. In my current research agenda, I investigate all aspects related to distributed intelligent systems for supporting cities and communities, with a strong focus on optimizing decentralized and self-organized systems. My research finds application in several domains, among which smart city, mobility, healthcare, cultural heritage and natural disasters.

Open Calls

Short Biography

I am an assistant professor in the Future Computing Research Laboratory at the Department of Mathematics, Computer Science, Physics and Hearth Sciences of the University of Messina. I was research fellow in the same university and I earned my Ph.D. in the Department of Engineering at University of Reggio Calabria in May 2020 under the supervision of Massimo Villari.

I led activities related to the technical area for the Horizon 2020 project “FLIWARE” and the Italian FISR “Re-functionalization of the Contemporary”. From 2018 to 2020, I worked as software developer of Humanizing Technologies GmbH in Vienna, one of the most appreciated suppliers of non-industrial robots and robot software worldwide. From 2020, I am an AWS Certified Cloud Practitioner. From 2021, I am authorized to practice as Information Engineer (Italy, Section A). From 2022, I led activities related to artificial intelligence in federated cloud/edge environments for the Horizon Europe TEMA project. From 2023, I led the activitie related to the artificial intelligence optimization for microcontrollers for the Horizon Europe NEUROKIT2E project.

I have been teacher of Algorithms and Computational Intelligence classes. I am reviewer of respected Springer, IEEE and Elsevier Journals, member of the CINI InfoLife Laboratory and IFIP Working Group 12.9 about Computational Intelligence, Associate Editor for Frontiers in Robotics and AI and MDPI Machine Learning and Knowledge Extraction, co-chairs of IEEE Workshops (DistInSys, MrICHE, and AI4Health), program chair of UCC 2023 and FLTA 2024 and co-author of more than 50 manuscripts.