Claudio Santo Longo

Claudio Santo Longo 2019-02-26T15:37:50+00:00

Personal Information

I am working as an engineering researcher and pursuing a Ph.D in Industrial Innovation Engineering. My area of interest regards the big data, the informative systems and everything in which the data management is involved.

I believe that the collection and study of data is becoming a real important need for the modern industry: acquiring, investigating and correlating information that comes from different sources, it is possible to understand situations, define patterns and even predict the future. In the recent years, a lot of manufacturing companies are becoming very interested on this kind of matter as it is one of the pillars of Industry 4.0: acquiring machine sensor data, it is possible to understand the machines working status, predict wears and plan maintenance in time.

I am a tech enthusiast, always interested in the innovative technology trends and trying to apply them to the projects, in which I am currently involved, in order to add more value to them.

After my graduation in Management Engineering at the Polytechnic University of Marche, I moved to Reggio Emilia in order to obtain my master degree. Everything started with my internship in the ARSControl research group. I was working at the IMPROVE European project and my objective was regarding the development of a simulated production plant for one of the project industrial partners. I then graduated in July and started working as a researcher in September.

I am currently involved in the IMPROVE project and working in other two Italian projects in which I am also leading a group of trainee students: all of these projects regard Industry 4.0.

Research activity


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Longo, C S; Fantuzzi, C; Monica, F; Manfredotti, L; Sorge, M

Big Data for advanced monitoring system: an approach to manage system complexity Conference

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), 2018, ISBN: 978-1-5386-3593-3.

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Longo, C S; Fantuzzi, C

Simulation and optimization of industrial production lines Journal Article

at-Automatisierungstechnik, 66 (4), pp. 320–330, 2018.

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Longo, C S; Fantuzzi, C

Simulation and optimisation of production lines in the framework of the IMPROVE project Conference

2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2017.

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