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).


[Show all publications]

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)

Integrating AIaaS into existing systems: the Gokind experience (Apr 2024)
Benedicte Boneza Musabimana , Alessio Bucaioni
21st International Conference on Information Technology : New Generations (ITNG 2024)

A Multilevel Modelling Framework for Quarry Site Operations (Apr 2024)
Abdulkarim Habbab, Anas Fattouh, Bobbie Frank , Elianne Lindmark , Koteshwar Chirumalla, Markus Bohlin
12th International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS 2024)

Programming with ChatGPT: How far can we go? (Feb 2024)
Vilma Helander , Hampus Ekedahl , Alessio Bucaioni, Thanh Phuong Nguyen
Machine Learning with Applications (MLWA)

Evolution of an Automotive Modelling Language for Enhanced Support of Diverse Network Interface Controllers (Feb 2024)
Alessio Bucaioni, Saad Mubeen
International Conference on Artificial Intelligence, Control, Data Sciences and Applications 2024 (ACDSA 2024)

Model Based Trustworthiness Evaluation of Autonomous Cyber-Physical Production Systems: A Systematic Mapping Study (Jan 2024)
Maryam Zahid, Alessio Bucaioni, Francesco Flammini
ACM Computing Surveys (CSUR)

Markus Bohlin, Docent,Professor

Email: markus.bohlin@mdh.se
Room:
Phone: +46 16 15 32 95