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).

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Optimizing Simulation and Predicting Engine Behavior of a Wheel Loader Through LSTM Neural Network Modeling: A Simulation-Based Approach (Sep 2024)
Abdulkarim Habbab, Anas Fattouh, Bobbie Frank , Koteshwar Chirumalla, Markus Bohlin
The Second SIMS EUROSIM Conference on Modelling and Simulation (SIMS 2024)

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)

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)

Markus Bohlin, Docent,Professor

Phone: +46 16 15 32 95