Industrial AI Systems


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).

[Show all publications]

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)

Markus Bohlin, Docent,Professor

Phone: +46 16 15 32 95