Three new research projects at Umeå University have been awarded funding from eSSENCE for 2025 and 2026

Three research projects at Umeå University have been selected to receive funding of SEK 800,000 per year over the next two years.

The projects cover innovative areas ranging from lake ecosystem dynamics and precision measurements to the use of machine learning in modern computational methods. The selected projects have the potential to make valuable contributions to their respective fields and align with eSSENCE’s goal of promoting research and development in advanced computational science.

Here are the selected projects:

1. A Novel Method to Transform the Modeling of Global Lake Ecosystem Dynamics

Researchers: Cristian Gudasz (UMU, EMG), Philipp Birken (LU), and Mengwu Guo (LU)
Objective: This project aims to develop a new method to transform the modeling of global lake ecosystems using Model Order Reduction, a technique that can streamline complex ecological models.

2. Accurate Volumetric Reconstructions from State-of-the-Art Observations

Researchers: Maria Hamrin (UMU, Physics), Araujo (UMU), E. Wadbro (Karlstad), and Vaverka (UMU)

Objective: The project focuses on creating accurate volumetric reconstructions from cutting-edge observational techniques, potentially improving our methods for measuring and understanding complex physical systems.

3. Finite Element Methods for Modern Computing Architectures and Machine Learning Applications

Researchers: Mats G. Larson (UMU, MaMS), Karl Larsson (UMU), and Anna Persson (UU)

Objective: This project aims to further develop and apply Finite Element Methods to optimize computational architectures and machine learning, with the potential to enhance various technical and scientific applications.