Collaborator · ESD
Davide Quaglia
Associate Professor
Department of Computer Science, University of Verona
Research interests
Networked and distributed systems · Internet of Things · Cyber-physical systems · Design-space exploration and simulation · Computational ecology
Davide Quaglia is Associate Professor at the Department of Computer Science of the University of Verona and collaborates with ESD. He received his PhD in Computer Engineering from Politecnico di Torino in 2003. His research has long treated the communication network as an integral part of an embedded or cyber-physical system rather than as an independent infrastructure added after the rest of the design.
He works on methodologies and tools for the specification, modelling, design-space exploration, simulation and synthesis of networked systems. This includes distributed embedded systems, sensor networks, Internet of Things architectures and cyber-physical systems, with particular attention to how communication timing, topology and resource constraints affect the behaviour of the overall application. His work has contributed to network synthesis, co-simulation and virtual-platform methods used in ESD research on smart systems and Industry 4.0.
Application areas include smart manufacturing, smart cities, precision agriculture, traceability, wearable systems and, more recently, computational ecology. Davide was historically associated both with ESD and with the former Networked Systems and Technologies (NeST) area of the CISD site, and he led the OPERA 4.0 project on privacy-aware observation of industrial work processes. The current site preserves the explicit ESD collaboration without presenting NeST as a current CISD group.
Projects
OPERA 4.0
Observation of work processes, with objective guarantees of privacy protection, for the automatic prevention of errors and risk situations in the context of Industry 4.0
A Fondazione Cariverona project on privacy-aware industrial monitoring: formal work-process analysis, machine vision, wearable sensing and real-time localisation were combined to identify unsafe or error-prone situations in Industry 4.0 environments.

