KCDS Doctoral Projects

An overview of current KCDS doctoral projects sorted by MathSEE method area.

MathSEE Method Area 1

Mathematical structures: shapes, geometry, number theory and algebra

MathSEE Method Area 2

Mathematical modeling, differential equations, numerics, simulation
A Fully Parallelized and Budgeted Multi-level Monte Carlo Framework
Generation and Scheduling of Activities for Travel Demand Models to Account for Telecommuting Behaviour
HYbrid, NETwork-based modelling of HYdrological systems (HY-NET)
Measure Transportation and Copulas
Modeling and Control of Transport-Dominated Particle Processes
Optometrological characterization of the vehicle glazing key performance indicators influencing the performance of AI-based algorithms for autonomous driving
Time-dependent tomography for phase space reconstruction

 

MathSEE Method Area 3

Inverse problems, optimization
Generation and Scheduling of Activities for Travel Demand Models to Account for Telecommuting Behaviour
Optometrological characterization of the vehicle glazing key performance indicators influencing the performance of AI-based algorithms for autonomous driving
Time-dependent tomography for phase space reconstruction

 

MathSEE Method Area 4

Stochastic modeling, statistical data analysis and forecasting
AI-Augmented Discovery of Turbulence-Granular Material Interactions
Artificial Intelligence in bioprocess development
Deep learning methods for probabilistic weather forecasting
Generative machine learning methods for multivariate ensemble post-processing
Label Efficient Representation Learning for Relation Extraction
Multivariate post-processing of sub-seasonal weather regime forecasts
Post-Simulation Diagnostics of Microphysical Process Rates from a Climate and Weather Model with AI
Robust data-driven coarse-graining for surrogate modeling