STRATEgic GUide to Smart manufacturing

Guiding integration of new technologies for new generation of
smart manufacturing systems

Team

Enrico Fraccaroli, Ph.D.
Enrico Fraccaroli, Ph.D. | Marie Sklodowska-Curie Fellow

Enrico Fraccaroli is a Marie Sklodowska Curie Fellow at the Department of Engineering for Innovation Medicine, at the Unversity of Verona. He received his Ph.D. degree in computer science from the University of Verona, Italy, in May 2019.

His research interests are the development of new methodologies for the efficient simulation and functional safety evaluation of embedded platforms composed of analog, digital, and network components.

Prof. Franco Fummi
Prof. Franco Fummi | Supervisor at the University of Verona

Prof. Fummi received the PhD degree in electronic engineering from Politecnico di Milano, Milano, Italy, in 1995. Since 2000 he is a full professor at the Department of Computer Science, University of Verona, Italy, and where he is also the project manager of the Industrial Computer Engineering (ICE) Laboratory. Since 1995, he has been with the Department of Electronics and Information, Politecnico di Milano, as an assistant professor. He is a co-founder of EDALab, an EDA company developing tools for the design of networked embedded systems.

His current research interests include electronic design automation methodologies for modeling, verification, testing, and optimization of cyber-physical production systems.

Prof. Samarjit Chakraborty
Prof. Samarjit Chakraborty | Supervisor at the University of North Carolina at Chapel Hill

Samarjit Chakraborty is a William R. Kenan, Jr. Distinguished Professor in computer science at the University of North Carolina at Chapel Hill, USA. From 2008 to 2019, he was a professor at TU Munich in Germany and an assistant professor at the National University of Singapore from 2003 - 2008. He obtained his Ph.D. in electrical engineering from ETH Zurich in 2003.

His research interests include system-level design of embedded and cyber-physical systems, with applications in automotive, healthcare and sensor networks.