Davide Cesani
Artificial Intelligence Researcher at Consorzio Intellimech
Based in Bergamo, Italy
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Seniority
Staff
Department
Research & Development
Location
Bergamo
Industry
Research Services
Company size
29
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d•••••••@intellimech.it
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Background
About Davide Cesani
I am a researcher at Consorzio Intellimech, specializing in Artificial Intelligence applications in the industrial context. Concurrently, I am a third-year Ph.D. student at the Control and Automation Laboratory, University of Bergamo, where my research focuses on data-driven prognostics and fault detection in industrial components. My PhD research aims to enhance predictive maintenance and fault detection strategies through machine learning and data-driven approaches, contributing to more efficient and reliable industrial systems. Publications list: 1. D. Cesani, M. Mazzoleni, F. Previdi, The scenario approach for data-driven prognostics, IFAC-PapersOnLine, https://doi.org/10.1016/j.ifacol.2024.07.261 2. D. Cesani, M. Mazzoleni, F. Previdi, Leak detection for household pipelines based on a smart valve with single pressure and flow sensors, IFAC-PapersOnLine,
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