Matias Jari Johannes Uusinoka

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.

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Areas of expertise

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