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Associate Professor Teaching Preventive Maintenance for Robotics and Smart Automation – Master Degree (2 years) – [IM12] COMPUTER AND AUTOMATION ENGINEERING (ITA) Automation systems – First Cycle Degree (3 years) – [IT11] INDUSTRIAL AND INFORMATION SYSTEMS (ITA) Capsule Bio Alessandro Freddi received the M.S. degree in “Electronic Engineering” in 2008 and the Ph.D. in “Automation, Information and Management Engineering” in 2012 from Università Politecnica delle Marche (Ancona, Italy). He worked as Postdoctoral Research Fellow at the Department of Information Engineering at the same University from 2012 to 2014. From 2014 to 2017 he worked at Università degli Studi eCampus (Como, Italy) as Assistant Professor and member of the SMART Engineering Solutions & Technologies (SMARTEST) research centre. From 2018 to 2021 he worked at Università Politecnica delle Marche as Assistant Professor, where he teached “Measurements and Instrumentation for Automation”, and joined “Syncode”, a startup operating in the field of industrial automation. From November 2021 he is Associate Professor at Università Politecnica delle Marche, where he teaches “Preventive Maintenance for Robotics and Smart Automation”. His main research activities are fault diagnosis and fault-tolerant control with applications to robotics and automation systems, and development and application of assistive technologies. He published more than 100 papers in international journals, books and/or conferences (full list is accessible by clicking the Google Scholar, Scopus and Researchgate images on the right side of this page). He has been committee member for 5 scientific conferences, editor of 6 books, and guest editor of 5 special issues on the topics of fault diagnosis, fault-tolerant control and development and application of assistive technologies. He is currently associate editor of Springer Intelligent Service Robotics and reviewer for several international scientific journals. From 2012 to date he has taken part in 6 research projects, on the fields of automation, robotics and assistive technologies. Finally, he collaborates with several companies in the field of automation, and since 2016 especially on the aspects of diagnosis and predictive maintenance. Additional Information Visit the University staff page here. |
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