Matias Jari Johannes Uusinoka

Deep learning-based method development for statistical analysis of critical phenomena in ice radar imagery (2D deep learning optical flow, FEM & power-law scaling) and large-scale discrete element models (HPC, NN & graph learning). Supporting studies in the master's programme of Machine Learning, Data Science and Artificial Intelligence.