Matias Uusinoka

Matias Uusinoka

    Personal profile

    Artistic and research interests

    Machine learning-based method development for statistical analysis of ice physics in observational research (computer vision, RNN) and numerical modelling (HPC, DNN, PINN & DEM). Supporting studies in the master's programme of Machine Learning, Data Science and Artificial Intelligence.

    Education/Academic qualification

    M.Sc. (Applied Physics), University of Helsinki

    Keywords

    • Discrete element method
    • High performance computing
    • Machine learning
    • Computer vision
    • Deep learning
    • Computational mechanics

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