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Research projects
Equations in Motivic Homotopy
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Algebraic and topological cycles in tropical and complex geometry
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Alzheimer's physics
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An Analyst's Path to Quantum Symmetry
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Bayesian methods in Machine Learning
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Computational Modelling and Machine Learning for Applications in Hydropower
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Dynamic wetting on soft solids (DyWeSS)
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Gabor frames, operator algebras, and quasicrystals
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Geometric and dynamical properties of rational maps (GrandDrm)
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Harnessing AI to assist human experts in creating mathematical questions in elementary schools
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Homological Invariants of Deformations of Groups and Algebras
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Irregularity and Noise In Continuity Equations (INICE)
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Mathematics for quantum computation and many-body theory (QOMBINE)
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Nano- and micro- poro-elastic fog nets for water harvesting
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Norway - Ukrainian cooperation in mathematical education
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Robustness, Asymptotic Behavior and Stability of Models Based on Stochastic Differential Equations
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Scientia Fellows at the Department of Mathematics
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SciML - Scientific Computing & Machine Learning
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SCROLLER - A Stochastic ContROL approach to machine Learning with applications to Environmental Risk models
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Spatial-Temporal Uncertainty in Energy Systems (SPATUS)
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Statistical and machine learning methods for Sensor Data
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STORM - Stochastics for Time-Space Risk Models
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