福利姬

Photo of Fredrik Lindsten

Fredrik Lindsten

Professor, Head of Division

I develop machine learning models that can extract information from complex data and make statistical predictions, with a broad spectrum of applications from weather forecasting to materials science.

Presentation

Machine learning is about creating computer programs that can learn to solve complex problems from data. The technology has become part of our daily lives through services like ChatGPT, but it can also be used within various scientific fields.

In my research, I develop machine learning models that can extract information from complex data and make statistical predictions. One example is weather forecasting: a model is trained on historical weather data and can then generate hypothetical future weather developments. The forecasts can not only be made accurate, but the model can also indicate how confident it is, which enables, for example, rational action plans when there's a risk of extreme weather. Another research direction is materials science, where machine learning can be trained on large databases of known materials and then generate new, hypothetical combinations of atoms. In this way, we can more quickly find materials with unique properties, which ultimately can contribute to everything from energy storage to new methods for water purification.

For more information about my background and my research, please visit .

Publications

2025

Filip Ekström Kelvinius, Oskar Andersson, Abhijith S. Parackal, Dong Qian, Rickard Armiento, Fredrik Lindsten (2025) Proceedings of the 42nd International Conference on Machine Learning, p. 15130-15147 (Conference paper)
Filip Ekström Kelvinius, Zheng Zhao, Fredrik Lindsten (2025) Proceedings of the 42nd International Conference on Machine Learning, p. 15148-15181 (Conference paper)
Yifan Ding, Arturas Aleksandrauskas, Amirhossein Ahmadian, Jonas Unger, Fredrik Lindsten, Gabriel Eilertsen (2025) IMAGE ANALYSIS, SCIA 2025, PT II, p. 166-179 (Conference paper)
Amirhossein Ahmadian, Fredrik Lindsten (2025) Pattern Recognition Letters, Vol. 197, p. 132-138 (Article in journal)
Andreas Lindholm, Fredrik Lindsten (2025) FOUNDATIONS OF DATA SCIENCE (Article in journal)

Research

News

About the Division

Staff at STIMA

About the Department