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).
A Functional Software Reference Architecture for LLM-Integrated Systems (Mar 2025) Alessio Bucaioni, Martin Weyssow , Junda He , Yunbo Lyu , David Lo 22nd IEEE International Conference on Software Architecture (ICSA 2025)
LLM-Based Recommender Systems for Violation Resolutions in Continuous Architectural Conformance (Mar 2025) Riccardo Rubei , Amleto Di Salle , Alessio Bucaioni 4th International Workshop of Model-Driven Engineering for Software Architecture (MDE4SA)
Exploring Dynamic Map Validation at Construction Sites: A Case Study and Feasibility Analysis (Dec 2024) Anas Fattouh, Sara Afshar, Markus Bohlin 27th IEEE International Conference on Intelligent Transportation Systems (ITSC 2024)
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)
