Innovation and Product Realisation
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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Ongoing research projects
The purpose of the project is to develop optimal ways towards smart production planning for resilient energy systems.
Project manager at MDU: Stavros Vouros
Main financing: Energimyndigheten
ShiftLabs is an organization dedicated to supporting the adoption and integration of new digital technologies among small and medium-sized manufacturing companies.
Main financing: Digital Europe (EU kommissionen)
The project will examine how advanced digital technologies, including the internet of things (IoT), artificial intelligence (AI), cloud computing, and Big Data analytics, can support battery circularity by developing suitable models, methods, and tools.
Project manager at MDU: Koteshwar Chirumalla
Main financing: Knowledge Foundation
The project aims to be the next step toward digital representation, simulation, and optimization in the off-road industry through simulation models that can mirror the physical world from system to site level
Project manager at MDU: Anas Fattouh
Main financing: Vinnova