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Seed project: IoT for ships – an untapped data resource The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to establish…
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Project expert competence: Smart Industry, phase 2 The goal of the project is to develop courses at advanced level linked to Smart Industry based on the skills needs of industry. The project's target…
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Project: Aligning Architectures for Digital Twin of the Organization (Aladino) This project aims at establishing a set of sound engineering methodologies, methods and tools for modeling, evaluating,…
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Seed project:Automated Assembly/Disassembly Instructions (ADDITION) The project aims at building a consortium interested in laying the foundation for harnessing the power of AI and digitalization for…
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Project: Smart Dat The goal of the project is to offer activities in automation and digitalization for small and medium-sized companies in the manufacturing sector in the Linnaeus region, strengthen…
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Project: IoT lab for SME 2.0 The aim of this project is to develop a well-established network of companies in the Linnaeus region that can benefit from each other's expertise and products within…
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Smart Industry Group Smart Industry Group (SIG) is an interdisciplinary research group featuring expertise from computer science and mechanical engineering. SIG's focus is making production and…
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Doctoral project: Realising smarter organization by developing Digital Twin of the Organization A Digital Twin of an Organization (DTO) as a software component proposes a live model of an…
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Doctoral project: Digital Twin as a Service (DTaaS) This doctoral project targets to work on Digital Twin, with integration to data intensive sources.
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Project: In-line visual inspection using unsupervised learning The purpose of this project is to introduce and improve machine learning- assessment of the quality of massproduced industrial (steel)…