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).
Technical Credit (Sep 2024) Ian Gorton , Alessio Bucaioni, Patrizio Pelliccione Communications of the ACM (CACM)
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)
An Intelligent Test Management System for Optimizing Decision Making During Software Testing (Aug 2024) Albin Lönnfalt , Viktor Tu , Gregory Gay , Animesh Singh , Sahar Tahvili Journal of Systems and Software (JSS)
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)
