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Project: Efficient and reliable computations of scattering resonances Scattering resonance computations in nano-optics are important in the development of photothermal cancer therapy, optical…
Project: Hörmander-Weyl calculus in the framework of ultra distributions This project concerns developing a calculus of Weyl operators, also feasible for objects which are more hard treated than…
Project: Algorithms for reinforcement learning Reinforcement learning is a hot area in machine learning and artificial intelligence. It is the basis for development in robotics, image recognition,…
Project: Reliability optimization With increased automation, electrification and conversion to renewable energy supply, high costs arise in connection with downtimes and unplanned maintenance of…
AI and machine learning for optimization and operations research Under this research theme, we develop both mathematical theory and applications for artificial intelligence and machine learning in…
Project: Science4Girls This project intends to design and implement learning activities withing the theme of climate change that encourage girls to enroll in science, technology, engineering, and…
Project: Efficient planning of hydropower systems In a future scenario, Sweden's production of electricity will consist of a larger share of intermittent types of energy production. Based on this,…
Project: Optimization with PDE constraints Partial differential equations (PDEs) are used to model a multitude of phenomena in science and engineering. PDE-constrained optimization problems arise in…
Project: Mapping of the conditions for efficient remanufacturing of furniture used in public environments We want to increase the knowledge about circular economy and remanufacturing of furniture…
Project: Becoming a mathematics teacher (BeMT): The role of teacher education In this project, the aim is to explore the role of mathematics teacher education and the mathematics teacher educator in…
Deterministic and Stochastic Modelling The research field Deterministic and Stochastic Modelling within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) brings together…
Scientific Computing and Partial Differential Equations Within this research theme, we study numerical methods for partial differential equations, analysis of differential and pseudo-differential…
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)…
Project: HPC for SME The goal of the project is to give small and medium-sized companies in the Linné region the opportunity to increase their data-driven capabilities with the support of artificial…
Project: Study of Scaling Up and Modeling early number Innovation (SUMI) The aim of the project is to develop a model for implementing a scientifically based innovation on mathematics for children 1-3…
Digital Tools and Digital Competence in Preschool and School Teaching We conduct research on what happens and what becomes possible when digital tools are used in preschool-class and school teaching,…