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]

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

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