atteo cacciari is an adjunct professor at the Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI) of the University of Bologna. He also serves as a technician at the Automation and Robotics laboratory (LAR) in the same department. His research interests span both on industrial automation technologies and modeling and advanced control of complex systems.
Education
He received the Master Degree in Automation Engineering in 2009 at the University of Bologna. The same year he received the Professional Engineering Qualification from the Italian Government. He received his Ph.D. in Automatic and Operational Research in 2013.
Professional career
In 2013, after having received the Ph.D., he obtained a one-year research contract at the Department of Electrical, Electronic and Information Engineering "Guglielmo Marconi" (DEI) of the University of Bologna. In the same year he took part and won a public competition to become a cat. D technician of the University of Bologna. He has that role since then.
Didactic and scientific activities
From 2012 he teaches a module in the Control Systems Technologies course (Automation Enginnering degree) about Electric drives sizing and PLC programming using IEC61131-3 standard languages.
Other Activities
- [da 12/2017 a 06/2018] Adjunct collaborator/employee at University of Bologna for a consultancy contract commissioned by Marini s.p.a. to model and control a dryer system in an asphalt production plant.
- [03/2017, 02/2018, 02/2019] Casual work contract at Futura Soc. Cons. r.l. as teacher of a module about Electric drives and industrial automation control systems (20 hours) in the advanced technical education and training course (IFTS 2016-5711/RER "Technician on design and programming of industrial automation systems") organized by the Emilia Romagna Region
- [From 06/2015 to 04/2016] Adjunct collaborator/employee at University of Bologna for a consultancy contract commissioned by ESAutomotion s.r.l to implement the hydraulic model of a press-brakes machine and develop its control algorithm based on singular perturbation theory.
- [May 2012] Contract work at Department of Civil, Chemical, Environmental and materials Engineering of the University of Bologna to Develop the control for tensile tests using B&R Automation Studio editor
