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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.
Doctoral project: Digitalization of Business Model This project is about developing a business model for omnichannel retailing. Global competition in highly dynamic retail markets demands firms to…
Doctoral project: Visual analytics for explainable and trustworthy machine learning This doctoral project aims to develop foundational principles, techniques, and tools for visual analytics, for…
Project: Climate neutral Växjö 2030 This project is a research collaboration with Växjö municipality for achieving a climate neutral Växjö in 2030 and how digital technologies can support this goal…
Project: Digital acceleration for medium size sustainable cities (DIACCESS) The aim of the project is to solve real societal challenges by combining municipal administrations and municipal companies…
Project: Designing digital technologies for supporting energy-related behavior change in the kitchen This project aims to design, develop and evaluate digital behavioral change tools. The goal is to…
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…
Project: Responsible Deployment of AI for Protein-Ligand Energies (RED-ALE) The project aims to develop guidelines for the reliable and transparent use of AI when predicting binding energies between…
Seed project: Biosensor Testbed at the IoT Lab The objective of this project is to explore the potential applications of biosensors for the continuous monitoring and management of various health…
Seed project: Nerves segmentation and dendritic cells detection in IVCM images – DCN Automatic segmentation of nerves and detection of dendritic cells to provide accurate density measurements, aiding…
Seed project: Development of machine-learning interatomic potentials for two-dimensional antiferromagnetic MnX and Janux XMnY (X, Y=S, Se, Te) We plan to develop machine-learning (ML) models on large…
Seed project: Data-intensive tools for effective carbon mitigation in forestry The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications…
Seed project: European spruce bark beetles; advanced predictive forecasting by means of machine learning The main objective for this seed project within Linnaeus University Centre for Data Intensive…
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…
Project: Development of a new master programme in Digital Humanities at Linnaeus University The project aims to further develop the Digital Humanities, Master Programme and establish new ways of…
Data-driven Business Innovation (DBI) The Data-driven Business Innovation (DBI) research group develops models and frameworks for data-driven platforms and business models to enhance efficiency and…
Engineering Resilient Systems (EReS) The Engineering Resilient Systems (EReS) Research Lab conducts research in the area of system resilience. It focuses on investigating (and experimenting with)…
EdTechLnu The research within the EdTechLnu field of knowledge has three main strands: • Developing new technology to support education and learning. • Studying teaching and learning where students…