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Seed project: Machine learning stabilized steady-state advective-diffusive heat transport This seed project aims to explore and use the strengths of Scientific Machine Learning (SciML) to solve the…
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Doctoral project: AI in administration of agricultural subsidies We want to design, implement and evaluate systems based on artificial intelligence that supports our customer with the administration…
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Doctoral project: Enhancing MLOps architectures for efficient integration, deployment and inference of AI Models in diverse industrial settings This project focuses on advancing MLOps architectures to…
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Doctoral project: Document Classification and Entity Extraction Many aspects of accounting present difficulties in achieving full automation due to the abundance of unstructured information, such as…
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Seed project: Development of an intelligent wearable – the DIWAH study The overall goal of the research in this seeding project within the Linnaeus University Center for Data Intensive Sciences and…
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Seed project: Investigate Machine Learning Techniques for Decision-Making Support in K-12 Educational Context The main aim of this seed application is to investigate the use and application of Machine…
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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)…
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Project: HPC for SME The aim of the project is to provide small and medium-sized enterprises (SMEs) in the Linnaeus region with the opportunity to enhance their data-driven capabilities with the…
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Doctoral project: Big Data Exploitation for Insight into Electrolux Professional Products Lifecycle Management This doctoral project aims to use Big Data to map the life cycle of professional products…
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Doctoral project: Advanced identification methods for the forest industry through CV/AI The project intends to create opportunities for continued digitalisation in the forest industry. This concerns…
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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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Doctoral project: Ecosystems and smart cities Cities face major climate challenges. In my research, I investigate how digital transformation and ecosystems contribute to increased collaboration…
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Doctoral project: Machine Learning in Manufacturing Many manufacturing companies struggle with transitioning into the era of smart technologies, due to the fact that modern lab-grown methods and data…
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Doctoral project: Digital twin developments within Volvo CE This doctoral project relates to develop a so-called digital twin platform. The aim is to understand customers' problems and support them…
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Doctoral project: Efficient detection of changes in software evolution and their operationalization for software maintenance This project aimed at understanding and using changes detected in software…
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Seed project: Digitized ancient remains detection The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is to explore if…
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Seed project: Using Artificial Intelligence to Detect Acanthamoeba Keratitis in the eye - the AIDAK study Applicants The overall objective of the research for this seed project within Linnaeus…
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Project: Software Technology for Self-Adaptive Systems The purpose of this project is to increase the engineering efficiency of self-adaptive systems. The development, maintenance and operation of…