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 Battery Circularity Decision Support Framework for Sustainable Transport Applications (Aug 2025) Anas Fattouh, Erik Dahlquist, Koteshwar Chirumalla International Conference on Advances in Production Management Systems (APMS2025)
PyLC+: A Scalable Python Framework for Automated Translation and Testing of Industrial PLC Programs (Jul 2025) Mikael Ebrahimi Salari, Eduard Paul Enoiu, Alessio Bucaioni, Wasif Afzal, Cristina Seceleanu 49th IEEE International Conference on Computers, Software, and Applications ( COMPSAC-2025)
Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead (Jun 2025) Alessio Bucaioni, Martin Weyssow , Junda He , Yunbo Lyu , David Lo 2030 Software Engineering - 2025 (2030 SE - 2025)
Benchmarking Large Language Models for Autonomous Run-time Error Repair: Toward Self-Healing Software Systems (Jun 2025) Alessio Bucaioni, Gabriele Gualandi, Johan Toma International Conference on Evaluation and Assessment in Software Engineering (EASE'25)
Model Transformations Using LLMs Out-of-the-Box: Can Accidental Complexity Be Reduced? (Jun 2025) Gabriel Kazai , Ronnie Agyeiwaa Osei , Alessio Bucaioni, Antonio Cicchetti First Workshop on Large Language Models For Generative Software Engineering (LLM4SE 2025)
Comparative Analysis of Text Mining and Clustering Techniques for Assessing Functional Dependency between Manual Test Cases (Apr 2025) Sahar Tahvili, Leo Hatvani, Michael Felderer , Francisco Gomes de Oliveira Neto , Wasif Afzal, Robert Feldt Software Quality Journal (Springer) (SQJ)
