Degree projects for Computer Simulations for Science and Engineering

The master's degree project may be performed in a research group at the institute or as a project in industry or consulting company. It comprises 30 ECTS credits, and is carried out in the second half of the second year of the programme. Students are supervised and examined by faculty from both the home and the host university. Topics of degree projects are suggested at the joint workshop or by teachers at the home or host university. The result of the project is presented as a written report and in an oral seminar.

KTH

• A patient specific poroelastic model of a brain with a subdural hematoma , Carolyn Langen, 2012
• Recognition from collections of local features , Anna Babaryka, 2012
• Finite element analysis of infant skull trauma using CT images , Arna Oskarsdottir, 2012
• Implementation, performance analysis and optimization of a molecular dynamics tree algorithm for large-scale cluster systems , Md. Naim, 2012
• Large-scale modelling of striatal network , Muhammad Shahid Bilal, 2012
• Analysis and implementation of an efficient solver for large-scale simulations of neuronal systems , Matthew The, 2013
• Computational methods to estimate error rates for peptide identification in mass spectrometry-based proteomics , Xiao Liang, 2013
• Uncertainty quantificatioin of near-wall turbulence modeling for large eddy simulations of incompressible flows, Khan Raqib Mahmud, 2013
• A numerical method for fluid-structure interaction , Thi Thanh Truc Vu, 2013
• Parameter optimization of linear Ordinary Differential Equations in the Gene Regulatory Network Reconstruction Problem , Deng Yue, 2014
• Large-scale dynamic optimization using code generation and parallel computing , José Rodriguez, 2014
• Predicting Electromagnetic Noise in Induction Motors , Nguyen Minh Khoa, 2014
• In silico deconvolution of small cancer cell ratios using transcriptomics gene signatures, Ivone Herrera, 2014
• The role of pairwise and higher-order correlations in feedforward inputs to neural networks , David Hübner, 2015
• Epitope Mapping using Local Alignment Features , Yunyi Zhu, 2015
• Implementation of the Particle Mesh Ewald method on a GPU , Alexei Iupinov, 2016
• On the edge of regional climate models , Maria Kootte, 2017
• Deep Learning models for turbulent shear flow , Prem Anand Alathur Srinivasan, 2018
• Learning to predict text quality using Generative Adversarial Networks , Waseem Sheriff, 2019
• Suturing in Surgical Simulations , Kiran Beersing-Vasquez, 2019
• A Spatially Explicit Agent-Based Model of Human-Resource Interaction on Easter Island , Peter Steiglechner, 2020

• Deep learning for temporal super-resolution of 4D Flow MRI , Pia Callmer, 2023

• Nonlinear Parametric Model Order Reduction, Sander Blok 

• Optimal process design with simulation-based optimization , Guilia Grasso, 2023

• Image-based Mapping of Regional Relative Pressures Using the PressurePoisson Equation, Vincent Lechner 

• A divergence-free cut finite element discretization for the Stokes interface problem, Dock Staal 

• Evaluating volatility forecasts - A study in the performance of volatilityforecasting methods, Billy Verhage 

• RBF method for solving Navier-Stokes equations, Volodomyr Yelnyk 

• Neural synthesis of sound effects using flow-based deep generative models , Sergi Andreu 

• Conservative Discontinuous Cut Finite Element Methods: Convection-Diffusion Problems in Evolving Bulk-Interface Domains , Sebastian Myrbäck 

• Explaining Turbulence Predictions from Deep Neural Networks: FindingImportant Features with Approximate Shapley Values, Antoni Plonczak 

• Development of synthesizability-constrained molecular generation usingdeep learning, Christian Ulmer 

• Providing reliable product size recommendations -- A Bayesian model for sparse, cross-merchant sales and return data in fashion e-commerce, Van de Kamp 

• Linear Eigenvalue Problems in Quantum Chemistry, Storm van de Linde

TU Delft

• Parallelization of ensemble Kalman filter (EnKF) for oil reservoirs, Md. Khairullah, 2012
• Fourier analysis of iterative methods for the Helmholtz problem , Diao Hanzhi, 2012
• Numerical modelling of granular beds in rotary kilns , Miguel Romero, 2012
• Computing the spectrum of the confined hydrogen atom , Karl Kästner, 2012
• Fast iterative methods for solving the incompressible Navier-Stokes equations , Carlos Echeverria Serur, 2013
• Investigation of unsteady viscous-inviscid interaction schemes , Firat Haciahmetoglu, 2013
• Nonlinear model order reduction using POD/DEIM for optimal control of Burger's equation , Manuel Baumann, 2013
• Numerical methods for differential-algebraic equations , Kristin Altmann, 2014
• Interaction waves for real-time ship simulation , Akash Mittal, 2014
• Modelling phase transformation in steel alloys , Mathias Mul, 2014
• Investigation of unsteady viscous-inviscid interaction schemes , Ye Boyi, 2015
• Efficiency improvement of panel codes for the maritime industry , Yun Mei Eliza Ang, 2015,
• Impact of static sea surface topography variations on ocean surface waves , Yik Keung Ying, 2016
• Parallelization of an experimental multiphase flow algorithm , Ankit Mittal, 2016
• Modeling turbulent two-phase stratified flow , Berkcan Kapusuzoglu, 2016
• High Performance Data Traversal: Cache Aware Computing with Space Filling Curve , Sagar Dolas, 2017
• Computational Modelling of the Oryon Watermill: A Nested Fluid-Structure Interaction Problem with Non-Smooth Dynamics, Vineeth Maniyara, 2017
• Adaptive Deflated Multiscale Solvers , Dmitrii Boitcov, 2017
• Linear and anisotropic diffusion in image processing: A study on implementation, parameters and segmentation , Patricia van Marlen, 2018
• Velocity Enhancement Models for Polymer Flooding in Reservoir Simulations , Eduardo Guarnerio, 2018
• Machine Learning Based Error Modeling for Surrogate Model in Oil Reservoir Problem, Huang Jie, 2019
• Modelling of periodic non-smooth motion using the harmonic balance method , Amey Vasulkar, 2018
• Coupling of isothermal models in gas networks , Jose Eduardo Cejudo Grano de Oro, 2019
• Image Segmentation of the gamma Phase in Nickelbase Superalloys utilising Deep Learning, Franziska Riegger, 2019
• Multi Agent Deep Recurrent Q-Learning for Different Traffic Demands , Azlaan Mustafa Samad, 2020
• Shape optimization of an offshore wind turbine crane, Irene Vooijs, 2020
• High fidelity simulation of resolved interface multiphase flow, Traianos Karageorgiou, 2020
• Terrascope: The atmosphere as a telescopic lens, Shane Alpert, 2020

• Adversarial Reduction Reduced Order Models for Fluid Flow With Generative Adversarial Networks, Mirko Kemna, 2022

• Topology Optimization and Physics-Informed Neural Networks for Metamaterial Optics Design, Dylan Everingham, 2022

• Topological network-assisted quantum operations in two-dimensions, Genya Crossman, 2022

• Computing Resonant States of a Quantum Mechanical Three-body Problem on Supercomputers, Zhaonan Meng, 2023

• A Numerically Efficient Implementation of the DI-MCRD model in 3D, Rutger Engelberts, 2023

• Towards Robust Numerical Solvers for Nuclear Fusion Simulations Using JOREK, Alexander Quinlan, 2023

• Immersed Divergence- Conforming Finite Element Spaces, Ferhat Sindy, 2023

• Salt Intrusion Modelling via the Particle-tracking Framework, Sicong Lin, 2023

TU Berlin

• An algebraic multilevel Krylov solver for large scale sparse problems, Rainer Hartmann, 2012
• The preconditioned Helmholtz equation for scattering problems, Luis Garcia Ramos, 2012
• Parameter identification with differential-algebraic equations, Jin Zhuang, 2012
• Modeling the quintuplet cluster with n-body simulations, Slobodan Milovanovic, 2013
• Optimal distributed point control of linear elliptic equations, Munkhzul Zorigt, 2014
• Optimal boundary point control for linear elliptic equations, Baljinnyam Sereeter, 2014
• Convergence of stochastic coagulating particle systems, Astrid Boje, 2015
• Comparison of multilevel methods for the numerical solution of Helmholtz equations, Dabiao Ma, 2017
• Structure preserving time-integration of dissipative Hamiltonian systems, Jorge Alberto Ventura Flores, 2017
• Preconditioning for Elliptic Optimal Control Problems, Aseem Dua, 2017
• Sparsity promoting algorithms for multi-component magnetic resonance parameter mapping, Martijn Nagtegaal, 2018
• Wavelet-Based Adaptive Mesh Refinement, Jorien Knipping, 2018
• Optimization of Lyapunov exponents for large scale systems. Linus Johnson, 2020

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Master's programme in Computer Simulations for Science and Engineering (COSSE)