SS Coupling CPS and AI in Manufacturing Systems

Kaja Balzereit studied Applied Mathematics (B. Sc.) and Optimization and Simulation (M. Sc.) at the University of Applied Sciences Bielefeld. Since 2017 she is a research associate at Fraunhofer IOSB-INA in Lemgo, Germany and works on research projects concerning the automation of industrial production systems. Her focus lies on Artificial Intelligence for Automation, especially in enabling production systems to detect and handle faults autonomously.

Lorenzo Ragazzini is a graduate research fellow in the Manufacturing Group of the Politecnico di Milano (Italy) at the Department of Management, Economics and Industrial Engineering. He pursued his education as a Mechanical Engineer obtaining first the Bachelor degree at Alma Mater Studiorum – Università di Bologna and then the Master’s degree at Politecnico di Milano, where he graduated with a thesis titled “A framework for implementing dynamic scheduling in a stochastic flow-shop”. He is now focusing his research on digital twins-related topics and on the discrete events simulation to support production planning activities. He has been and is still involved in European research projects, such as BOOST 4.0. He has a role of technical referent (research projects, theses, collaboration projects with international colleagues) for digital twin-related works at the Industry 4.0 Laboratory (I4.0 LAB) at the School of Management Politecnico di Milano

Rodolfo Haber (IEEE, IFAC member) received the Ph.D. degree in Industrial Engineering from the Universidad Politécnica de Madrid, Spain, in 1999. Since January 2020, he has been appointed Director of the Center for Automation and Robotics (CSIC-UPM). In particular, he is now involved in three European projects related with Artificial Intelligence and Cyber-physical systems: KITT4SME (2020-2023), Power2Power (2019-2021) and PRYSTINE (2018-2021). He has authored 3 books, 21 book chapters, and over 70 articles in indexed journals with h-index:24 (Scopus). His main research activities are focused on Industry 5.0, cyber-physical systems, intelligent systems, control and supervisory systems, and artificial cognitive systems. Since 2002, he has belonged to the IFAC’s TC 3.1 Computers for Control. Since, 2017 he has been a member of the IEEE IES Technical Committee on ICPS.

My name is Carlo Voss and I received my master’s degree at the Helmut-Schmid University in Hamburg this year. I studied Industrial Engineeringwith a focus on machine learning. This paper resulted from my master thesis. Since May 2020 I have been working for the company Alexander Thamm as Data Scientist in Munich.

Luís Neto is a researcher for Institute of Systems and Robotics -FEUP Porto and for SYSTEC (Research Center for Systems and Technologies), in the Manufacturing thematic line. Luis has a demonstrated history dealing with embedded computing and computer networks, oriented to industrial applications. Currently his main research interests are Embedded and Reconfigurable Systems, Real-time Systems, Reconfigurable Computing, Industrial Cyber-Physical Systems and Industry 4.0.

Luís participated in National and European research projects related with Production Systems and Industry Digitalization, following the Industry 4.0 paradigm. Currently he is pursuing the degree of Doctor of Philosophy (Ph.D.) in Informatics Engineering, Faculty of Engineering, University of Porto.

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Room 2
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02:00 pm – 04:30 pm