Supervised master projects
Ongoing master projects
-
Quantum annealing-based algorithm for lattice gas
automata (Willow Strey)
-
Quantum generative neural networks (Kristian Gogora)
-
Quantum lattice Boltzmann methods (Erio Duong)
-
Discrete topology optimization techniques for semiconductor spin qubit devices
(Julian Sanders, supervisor together with Anton Akhmerov,
started September 2024)
Finished master projects
-
QAOA Mixing Hamiltonians for MinVertexCover (Tim
Driebergen, supervisor together with David de
Laat, Thesis
finished January 2023)
-
A New Contact Method for Simcenter Madymo: Contact
Method based on IsoGeometric Analysis (Jingya Li,
supervisor together with Hassan Tazammourti and
Göktürk Kuru
(Siemens), Thesis
finished January 2023)
-
Improving the stability of the B-spline material point method: Using extended and truncated hierarchical B-splines
(Stijn Ruiter, supervisor together with Deepesh Toshniwal,
Thesis
finished December 2022)
-
PINNs for parametrized problems (Frank van
Ruiten, supervisor together with Deepesh
Toshniwal, Thesis
finished December 2022)
-
Topology optimization and physics-informed neural
networks for metamaterial optics design (Dylan
Everingham, supervisor together with Aurele Adam,
Thesis
finished August 2022)
-
Stabilizing convection-dominated flow problems using
neural networks based on flux-limiting techniques
(Rana Sannia UI Haq, supervisor together with Deepesh
Toshniwal, Thesis
finished August 2022)
-
Physics-informed deep learning for computational fluid
flow analysis: Coupling of physics-informed neural
networks and autoencoders for aerodynamic flow predictions
on variable geometries (Samarth Kakkar, supervisor
together with Rene Pecnik and William Jennings (Monolith
AI), Thesis
finished August 2022)
-
Designing free-form optics for multiple-source
illumination using differentiable ray-tracing and neural
networks (Bart de Koning, supervisor together with
Aurele
Adam, Thesis
finished August 2022)
-
Diffractive optical elements are all you need:
Designing an optical system using physics-informed and
data-driven methods (Marek Oerlemans, supervisor
together with Aurele
Adam, Thesis
finished July 2022)
-
QPack: A cross-platform quantum benchmark-suite
(Huub Donkers, supervisor together with Zaid Al-Ars,
Thesis
finished July 2022)
-
Quantum annealing for seismic imaging: Exploring
quantum annealing possibilities for residual statics
estimation using the D-Wave Advantage System and hybrid
solver (Stan van der Linde, supervisor together with
Frank Phillipson and Niels Neumann (TNO) and Marcin
DuKalski and Diego Rovetta (Aramco
Overseas), Thesis
finished November 2021)
-
QPack: QAOA as scalable application-level quantum benchmark
(Koen Mesman, supervisor together with Zaid Al-Ars, Thesis
finished September 2021)
-
Variational quantum linear solver for finite element
problems: a Poisson equation test case (Enrico
Cappanera, supervisor together with Marc
Gerritsma, Thesis
finished September 2021)
-
A practical quantum algorithm for solving structural
optimization problems: a proof-of-concept! (J de
Zoete, supervisor together with Boyang
Chen, Thesis
finished September 2021)
-
Mimetic isogeometric modeling and discretization of
compressible Euler flows (Sebastiaan van Schie,
supervisor together with Deepesh Toshniwal and Marc
Gerritsma, Thesis
finished September 2021)
-
Resource optimal executable quantum circuit generation
using approximate computing (Smaran Adarsh,
supervisor together with Zaid
Al-Ars, Thesis
finished July 2021)
-
Physics Informed Neural Networks, A new approach for
the solution of PDEs (Fernando Wanguemert Guerra,
supervisor together with Richard Ahlfeld and Will Jennings
(Monolith
AI), Thesis
finished July 2021)
-
High-order discretization of hyperbolic equations:
Characterization of an isogeometric discontinuous
Galerkin method (Miquel Herrera Clapera, supervisor
together with Stefan
Hickel, Thesis
finished June 2021)
-
Learning based hardware-centric quantum circuit
generation (Merel Schalkers, supervisor together with
David de
Laat, Thesis
finished May 2021)
-
Implementations of quantum algorithms for solving linear
systems equations (Sigurdur
Sigurdsson, Thesis
finished January
2021, link)
-
Modelling Large Membrane-Like Structures in the Ocean
Environment An Application of Isogeometric Analysis on
Fluid-Structure Interaction
(Hugo Verhelst, supervisor together with Fred
Vermolen, Thesis
finished July
2019, link)
-
Image Segmentation of the gamma'-Phase in Nickel-base
Superalloys utilizing Deep Learning
(Franziska Riegger, supervisor together with Julian
von Lautz and Hendrik Kramer from MTU Aero
Engines, Thesis
finished January
2019, link)
-
Towards a Material Point Method with
Powell-Sabin spline basis functions: MPM with
higher-order C1-continuous basis functions on
triangulations (Pascal de Koster, supervisor
together with Vahid Galavi from Deltares,
Thesis
finished August 2018,
project
description)
-
Solving Poisson's equation using dataflow
computing (Ruben van Nieuwpoort, supervisor
together with Georgi Gaydadjiev,
Thesis
finished December 2017,
project
description, link)
-
High performance data traversal: Cache aware
computing with space filling curve (Sagar
Dolas, supervisor together with Vahid Galavi from
Deltares,
Thesis
finished August 2017,
project
description, link)
-
Multi-patch discontinuous Galerkin isogeometric
analysis for porous media flow (Kenny David,
supervisor, Thesis
finished January 2017
, project
description, link)
-
High-order material point method
(Roel Tielen, supervisor together with Lars Beuth from
Deltares, Thesis
finished July 2016, project
description, link)
-
Compatible isogeometric discretizations for
the incompressible Euler equations
(Stevie-Ray Janssen, supervisor together with Mark
Gerritsma from Aerospace Engineering TU Delft,
Thesis
finished November
2016, link)
-
Isogeometric analysis for a
reaction-diffusion model of human brain
development (Jochen Hinz, supervisor
together with Fred
Vermolen, Thesis
finished January
2016, link)
-
Towards a multiscale discrete particle model
for stability prediction of granular flood
defences (Jakob Maljaars, co-supervisor,
Thesis
finished January 2016)
-
Application of the algebraic flux correction
algorithm to a one-dimensional water flood
model (Prakhar Agarwal, co-supervisor, start
November
2014, project
description, link)
-
Isogeometric analysis for compressible flows
with application in turbomachinery (Andrzej
Jaeschke,
supervisor, Thesis
finished August
2015, project
description, link)
-
Numerical methods for differential algebraic
equations (Kristin Altmann, co-supervisor,
Thesis
finished February 2015,
project
description, link)
-
Untersuchungen einer
Brinkmann-Penalty-Methode kombiniert mit
hochauflösendem FEM-FCT zur Approximativen
Lösung der kompressiblen
Euler-Gleichungen (Malte Schuh, supervisor,
finished December 2015, TU Dortmund)