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Scientific Computing
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PhD
Current PhD projects
Scientific Computing
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Algorithms, Logic and Graphs
Cognitive Systems
Cyber Security
Dynamical Systems
Embedded Systems
Formal Methods
Image Processing and Computer Graphics
Mathematics
Scientific Computing
Adrian Kirkeby
Hjørdis Amanda Schlüter
Katrine Ottesen Bangsgaard
Anders Eltved
Bjørn Christian Skov Jensen
David Scott Winterrose
Kenan Sehic
Lasse Hjuler Christiansen
Nicolai Andre Brogaard Riis
Steen Hørsholt
Tinna Björk Aradóttir
Software and Process Engineering
Statistics and Data Analysis
PhD projects affiliated with DTU Compute
Current PhD projects in Scientific Computing
Mathematical analysis and computations for multiphysics tomography
Adrian Kirkeby: My research concerns the mathematics of inverse problems in multiphysics imaging.
Acousto-Electric Tomography on Riemannian Manifolds
Hjørdis Amanda Schlüter: How to study the interior electrical conductivity of a body from the outside?
Prior Modeling for Computational UQ for Inverse Problems
Katrine Ottesen Bangsgaard: Quantifying the eliability of computed tomography and inverse problems in general
Convex Relaxation Techniques for Nonlinear Optimization
Anders Eltved: Mathematical optimization is widely used in science and engineering; examples include optimization of mechanical systems, structural design, and...
Quantity of interest tomography
Bjørn Christian Skov Jensen: It often happens that we are curious about things we cannot observe directly, and while there might be ways to directly observe these...
Pseudo-differential operators for analytic boundary problems
David Scott Winterrose: Partial Differential Equations (PDE), stated with Boundary Conditions (BC), are central to all of physics. The laws that govern reality...
Numerical Uncertainty Quantification for Stochastic Wave Loads
Kenan Sehic: Uncertainty Quantification is a relatively new field in the scientific computing and getting more attention as computer’s power increases. Uncertainty...
Optimal control of PDE-constrained systems
Lasse Hjuler Christiansen: Science, engineering, economics and industry express an increasing demand for numerical methods and software to efficiently solve optimization...
Characterizing and Reducing the Influence of Model Errors in Inverse Problems
Nicolai Andre Brogaard Riis: In science we often use mathematical models to explain interactions between things in the real world. However, no model is fully...
Simulation and Optimization of Oil Reservoirs in the Danish North Sea
Steen Hørsholt
CGM-Augmented Insulin Pens for People with Type 2 Diabetes
Tinna Björk Aradóttir: In USA, 60% of patients receiving long-acting insulin treatment only, do not reach recommended treatment goals. The main reasons reported...
Updated on 20 January 2019
Updated on 20 January 2019