Digital Twins
for
Cyber Physical Systems

Renzo E. Navas is Associate Professor at IMT Atlantique in Rennes, France. His main areas of expertise are IoT systems, network security and LPWANs. He graduated as a computer engineer from the University of Buenos Aires in 2012 and received his PhD in computer science from IMT Atlantique in 2020. He was a research engineer at Télécom Bretagne (France) in the Internet of Things domain from 2013 to 2017. Since 2015, his research focuses on security for IoT: key establishment, secure time synchronization and usable Moving Target Defense techniques from physical to application network layers.

Ernesto Kofman is a PhD in Engineering, Senior Researcher at CONICET, Argentina and Adjunct Professor at the National University of Rosario, Argentina. His research interests include quantization techniques in simulation and control of dynamic systems.

Maurizio Palmieri is a PostDoc researcher at the University of Pisa. He received his Ph.D. in Smart Computing, a Ph.D. program awarded by the Italian Universities of Florence, Pisa, and Siena. His thesis focused on the co-simulation and verification of Cyber-Physical Systems using logic models. His research interests include the application of formal methods and co-simulation techniques to the analysis of Cyber-Physical Systems and the creation of models suited for the Digital Twins approach. Recent work includes model-based analysis of security issues in CPS.

Javier Román is an Electrical Engineer graduated from the School of Engineering, Universidad de la República (UdelaR). He completed the Management Development Program, IEEM at the University of Montevideo and is a Project Manager Professional, Project Management Institute. He is an Adjunct Professor at the Institute of Electrical Engineering (IIE) of FIng, Udelar and Services Manager of the Process Automation Division of ABB Uruguay. He has more than 20 years of experience in automation projects and services in process industries.

Javier Baliosian is a Computer Engineer graduated from FIng Udelar and holds a PhD from the Polytechnic University of Catalonia (Spain) in 2005. Since then he has participated in several research projects with different groups such as the Cambridge University Computing Laboratory, the KTH Communications Networks Laboratory in Sweden and the Ericsson Ireland Research Center, where he worked as a researcher and project coordinator. He is an Associate Professor at the Computer Science Institute of FIng Udelar (Uruguay). His areas of interest are Computer Networks, Self-managed Networks, Network Softwarization, Cloud Computing, Algorithms, Cyber-Physical Systems and Machine Learning.

Matías Richart is a Computer Engineer (2011), Master in Computer Science from Udelar (2014) and PhD in Computer Science from Udelar and the Polytechnic University of Catalonia (Spain) in 2019. He is an Assistant Professor at FIng Udelar (Uruguay). His main research area focuses on autonomous control and management of wireless networks using stochastic optimization and machine learning techniques. He also has extensive experience in wireless network simulations with practical experience in the use and development of the NS3 network simulator. His current research interests are wireless network management and control, co-simulation of cyber-physical systems, and the application of machine learning for network control and cloud services.