Industrial AI Systems
Focus:
The Industrial AI Systems (IAIS) research group focuses on integrating AI solutions into industrial systems to reinforce their operations with greater efficiency, resiliency, flexibility, and agility. Particular emphasis on self-optimizablility, self-configurability, and self-adjustability for autonomous Cyber-Physical Production Systems (CPPS).
| Project Title | Status |
|---|---|
| Developing Predictable and Secure IoT for Autonomous Systems | active |
| Digital Twins for Essential Services | active |
On the ISO Compliance of Model-Based Risk Assessment for Autonomous Cyber-Physical Production Systems (Sep 2024) Maryam Zahid, Alessio Bucaioni, Francesco Flammini IEEE International Conference on Cyber Security and Resilience 2024 (IEEE-CSR 2024)
Leveraging GANs to Generate Synthetic Log Files for Smart-Troubleshooting in Industry 4.0 (Aug 2024) Sania Partovian, Francesco Flammini, Alessio Bucaioni
Real-time Optimization of Testbeds for Cloudified Radio Access Networks Using Artificial Intelligence (Jun 2024) Animesh Singh , Chen Song , Jiecong Yang , Sahar Tahvili The 2024 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications (IARIA 2024)
Towards Compact Surface Languages for Specific Modelling Aspects in EAST-ADL (Jun 2024) Imad Berrouyne, Alessio Bucaioni, Federico Ciccozzi, Henrik Lönn 12th Embedded Real-Time Systems Congress (ERTS2024)
Continuous Conformance of Software Architectures (Jun 2024) Alessio Bucaioni, Amleto Di Salle , Ludovico Iovino , Leonardo Mariani , Patrizio Pelliccione 21st IEEE International Conference on Software Architecture (ICSA 2024)
Towards Interoperable Digital Twins: Integrating SysML into AAS with Higher Order Transformations (Jun 2024) Enxhi Ferko, Luca Berardinelli , Alessio Bucaioni, Moris Behnam, Manuel Wimmer 3rd International Workshop on Digital Twin Architecture (TwinArch) and Digital Twin Engineering (DTE) (TwinArch DTE)
