ESD
Michele Lora
Tenure-track Researcher
Research interests
Cyber-physical systems · Assume-guarantee contracts · Requirements engineering · Design automation · Smart manufacturing
Michele Lora is a tenure-track researcher at the Department of Engineering for Innovation Medicine of the University of Verona and a member of ESD. His research is centred on the design, analysis and verification of cyber-physical systems, especially when heterogeneous models and requirements have to be composed into systems whose behaviour can still be reasoned about formally.
A recurring theme in his work is assume-guarantee contract theory. Contracts provide compositional abstractions for specifying what a component expects from its environment and what it guarantees in return; Michele has worked on using them for requirements engineering, system exploration, verification and algorithmic synthesis. This research is reflected in the CHASE framework and in methods that combine formal reasoning, optimisation and simulation rather than relying on a single modelling formalism.
He was awarded a Marie Skłodowska-Curie Global Fellowship for DeFacto — Design Automation for Smart Factories, carried out jointly between the University of Southern California and the University of Verona. That work brought contract-based design automation into cyber-physical production systems, including topology, scheduling, path planning and reconfiguration problems. His current research continues along this line, connecting rigorous CPS design methods with digital twins, smart manufacturing and model-based engineering.
Projects
DeFacto
Design Automation for Smart Factories
A Horizon 2020 MSCA project on rigorous, compositional design automation for smart factories, combining assume-guarantee contracts, formal methods, simulation and optimisation to engineer high-assurance cyber-physical production systems.
Publications
2024
A Multi-Material and Multi-Scenario Dataset for Additive and Subtractive Manufacturing Operations
ETFA
An AI-Enabled Framework for Smart Semiconductor Manufacturing
DATE
Design Automation for Cyber-Physical Production Systems: Lessons Learned from the DeFacto Project
DATE
Enabling Service-Oriented Manufacturing Through Architectures, Models, and Protocols
IEEE Access
Integrating Modeling Languages with Ontologies in the Context of Industry 4.0
ICIT
RRPDG: A Graph Model to Enable AI-Based Production Reconfiguration and Optimization
IEEE Trans. Ind. Informatics
2023
2022
2021
2020
News
Publication
Recent ESD research in digital twins and manufacturing systems
Recent ESD work spans human-centred digital twins, early validation of manufacturing software, and machine-dynamics-aware scheduling for cyber-physical production systems.

