Collaborator · ESD
Nicola Dall'Ora
Assistant Professor
Department of Engineering Sciences, Guglielmo Marconi University
Research interests
Cyber-physical systems · Multi-domain fault modelling · Functional safety · Fault injection and simulation · Smart systems
Nicola Dall’Ora is a temporary Assistant Professor at Guglielmo Marconi University and collaborates with ESD. He received his PhD in Computer Science from the University of Verona in 2023 with the thesis “Fault-based Analysis of Industrial Cyber-Physical Systems”, supervised by Franco Fummi. He also continues to collaborate with the Department of Engineering for Innovation Medicine at Verona as a research consultant.
His research takes a holistic view of faults in cyber-physical systems. Instead of analysing the electrical, mechanical, thermal or communication domains independently, he studies how faults originating in one physical domain propagate through the rest of the system and eventually alter software-visible behaviour. This includes multi-domain modelling, simulation and abstraction, analog and mixed-signal defect injection, and the extraction of fault modes that can be used to assess functional safety.
A practical objective of this work is to support resilient industrial systems that can recognise dangerous conditions before they become failures for machinery or people. His research therefore connects fault injection with digital twins, runtime monitoring, synthetic-data generation and validation methods for smart manufacturing. He has also contributed to transistor-level manipulation and defect-injection techniques, extending the same safety-oriented reasoning from circuit descriptions up to complete cyber-physical systems.
Publications
2024
A Data Fusion Service-Oriented Infrastructure for Production Line Monitoring
ICIT
An AI-Enabled Framework for Smart Semiconductor Manufacturing
DATE
Analog Defect Injection and Fault Simulation Techniques: A Systematic Literature Review
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Multidomain Fault Models Covering the Analog Side of a Smart or Cyber-Physical System
IEEE Trans. Computers
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
DAC
2023
FDL
IECON
Thermal Digital Twin of a Multi-Domain System for Discovering Mechanical Faulty Behaviors
INDIN
Verilog-A Implementation of Generic Defect Templates for Analog Fault Injection
ACM Great Lakes Symposium on VLSI
FDL
2022
A Framework for Modeling and Concurrently Simulating Mechanical and Electrical Faults in Verilog-AMS
FDL
IEEE Trans. Emerg. Top. Comput.
Functional Level Abstraction and Simulation of Verilog-AMS Piecewise Linear Models
ISQED
Inferring Mechanical Fault Models from the Electrical Domain
ICPS
Investigation on Realistic Stuck-on/off Defects to Complement IEEE P2427 Draft Standard
ISQED
The Challenges of Coupling Digital-Twins with Multiple Classes of Faults
LATS