UC’s PhD in Applied Mathematics advances theory and algorithms, preparing scholars to innovate in science, engineering, and data analytics.
PDE model simulating wildfire spread under variable wind fields
Sparse-regression discovery of governing equations in climate data
Spectral method solver accelerating quantum-chemistry computations
Stochastic control of autonomous-vehicle platoons with communication delays
Gaussian-process emulator for uncertainty quantification in fusion reactors
Hybrid neural-PDE model for battery degradation prediction
Graph-theory optimization of power-grid resilience to cascading failures
Monte-Carlo valuation of renewable-energy derivatives under heavy-tail risks
Topology optimization of lightweight aerospace truss structures
White paper on reproducible computational modeling standards
Solve grand challenges with UC’s mathematically rigorous PhD.
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