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Front page
PhD
Former PhD projects
2018
Front page
PhD
Former PhD projects
2018
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2022
2021
2020
2019
2018
Alessandro Dal Corso
Alexander Rüdiger Schneider
Anders Schlichtkrull
Anders Roy Christiansen
Andreas Trier Poulsen
Christian Giessen
David Kofoed Wind
Dan Tito Svenstrup
Eythor Runar Eiriksson
Federica Belmonte
Gudmundur Einarsson
Hari Om Aggrawal
Ignacio Blanco
Jesper Duemose Nielsen
Lars Maaløe
Luca Pezzarossa
Magnus Dam
Martin Bach-Andersen
Marco Fraccaro
Marzieh Hasannasabjaldehbakhani
Mikko Berggren Ettienne
Monica Jane Emerson
Max Peter Spooner
Nicolai Pedersen
Oscar Peralta Gutierrez
Peter Nystrup
Rasmus Bonnevie
Rasmus Ahrenkiel Lyngby
Rasmus Dalgas Kongskov
Simon Due Kamronn
Ekaterina Sherina
Søren Føns Vind Nielsen
Sazuan Nazrah Mohd Azam
Sebastian Hoppe Nesgaard Jensen
Sofie Pødenphant Jensen
Jonathan Dyssel Stets
Tuan Nguyen Trung
Tobias Kasper Skovborg Ritschel
2017
2016
y
Former PhD projects completed in 2018
Towards Interactive Photorealistic Rendering
Alessandro Dal Corso
System Level Modelling and Tool Chain Development for Flow-Based Microfluidic...
Alexander Rüdiger Schneider: Biochips integrate several biochemical functionalities such as mixers, filters and detectors on a single chip, at sub millimeter...
Formalization of Algorithms and Logical inference Systems in Proof Assistants
Anders Schlichtkrull: The purpose of the project is to use proof assistants to prove that algorithms and logical inference systems work correctly, i.e. as intended...
Compressed and practical data structures for strings
Anders Roy Christiansen
Spatial-temporal methods for EEG analysis for cognitive neuroscience
Andreas Trier Poulsen
The Impact of Parametrization on Randomized Search Heuristics
Christian Giessen
Statistical models for wifi data and educational peer review
David Kofoed Wind
FindZebra - using machine learning to aid diagnosis of rare dieseases
Dan Tito Svenstrup
Computer vision based geometrical and textural control for 3D print processes
Eythor Runar Eiriksson: The aim of this Ph.D. project is to apply machine vision methods for process and quality control in production and manufacturing.
Sensometrics - Multivariate analysis and mapping of sensory and consumer data...
Federica Belmonte
Computerised quantification of motions associated with psychiatric disorders
Gudmundur Einarsson: There is a strong hypothesis that people with schizophrenia have motion disorders, both drug and non-drug related.
Priors for Temporal Tomographic Image Reconstruction
Hari Om Aggrawal: X-ray computed tomography is a mature technology that is used in many applications where cross-sectional images of high resolution provide useful...
Decision-making for the management and planning of integrated energy systems
Ignacio Blanco: Developing models to optimize the multi-commodity trading strategy of energy companies (especially those owning a portfolio of distributed energy...
Decreasing the spatial uncertainty in non-invasive brain stimulation, EEG and...
Jesper Duemose Nielsen
Deep Generative Models for Semi-Supervised Machine Learning
Lars Maaløe: PhD project in cooperation with the Technical University of Denmark and GreenGo Energy. GreenGo Energy installs and operates photovoltaic systems...
Dynamic partial reconfiguration in FPGA-based multi-core real-time embedded systems
Luca Pezzarossa: Hard real-time embedded systems are a class of computer systems whose temporal behavior has to be completely predictable. In recent years, we...
Topological bifurcations of coherent structures and dimension reduction of plasma...
Magnus Dam
A diagnostic and predictive framework for wind turbine drive train monitoring
Martin Bach-Andersen: Data are collected minute by minute from wind turbines around the world. This thesis represents a focused research effort into discovering...
Deep Latent Variable Models for Sequential Data
Marco Fraccaro: Deep learning models provide a flexible and powerful way to model high-dimensional sequential data such as text, speech or videos.
Mathematic and ffficient signal representation
Marzieh Hasannasabjaldehbakhani: Typical results for representation and analysis of signals are obtained using frame theory. A particular and important role is...
Compressed Computation on Structured Data
Mikko Berggren Ettienne
Image analysis and segmentation using sparse coding dictionaries
Monica Jane Emerson: My research concerns segmentation of volumes that have been acquired through x-ray computed tomography. These volumes can be scans from various...
Methods and tools for the statistical data analysis for large datasets collected...
Max Peter Spooner: My research is focused on how to extract useful information from the extensive data collected in bio-based manufacturing. As part of the wider...
Co-Simulation of Embedded Control Systems
Nicolai Pedersen: Designing the next generation of cyber-physical systems (CPS) requires close collaboration between physical model developers and the engineers...
Matrix-exponential methods in finance, risk and queueing theory
Oscar Peralta Gutierrez: Modelling of complex stochastic systems is usually a trade–off between the specification of a sufficient general mathematical model and...
Dynamics asset allocation with regime shifts: Identifying regime shifts in financial...
Peter Nystrup: The purpose of the project is to develop and test dynamic asset allocation strategies based on identification of regime shifts in financial time...
Approximate inference for bayesian nonparametrics on a computational budget
Rasmus Bonnevie: Exact inference in Bayesian models is often intractable, which has led practitioners to construct approximate Bayesian posteriors using MCMC...
Verification of large scale surface geometry including shape and texture veriation...
Rasmus Ahrenkiel Lyngby: Quality inspection of wind turbine blades is very important for both the performance and the life time of the blades, and thus their...
Segmentation-Driven Tomographic Reconstruction
Rasmus Dalgas Kongskov: Computed tomography (CT) is a non-invasive technique for analyzing the interior of objects. The mathematical method of calculating the...
Monitoring and modelling of behavioural changes using smartphone and wearable...
Simon Due Kamronn: Sustaining healthy lifestyle in everyday routines has proven particular challenging. This project uses smartphones as personalized lifestyle...
Numerical Inversion Methods for Impedance tomography with hybrid data
Ekaterina Sherina
Modeling Temporal Dynamics in Functional Brain Connectivity
Søren Føns Vind Nielsen: Research dealing with the mapping of cognitive functions to areas in the human brain has flourished since the invention of functional...
Model Predictive Control for Commercial Refrigeration in the Smart Grid
Sazuan Nazrah Mohd Azam: Model based controller is one of the advanced control strategy that is currently common and extensively recognized in industry and academic...
Real-time Detection of Deformable Objects
Sebastian Hoppe Nesgaard Jensen: 3D vision technology is the process of estimating 3D geometry from 2D image data.
Advancing linear and non-linear mixed models in engineering science
Sofie Pødenphant Jensen
Image-Based Tracking and 3D Content Generation by Jonathan Dyssel Stets
Eye tracking have gone through major improvements for the past decade, which has moved the application to a much wider field.
Applications of the Deformable Simplicial Complex in Image Segmentation and Fluid...
Tuan Nguyen Trung
Nonlinear Model Predictive Control for Oil Reservoirs
Tobias Kasper Skovborg Ritschel: Oil remains the world’s leading fuel, and it is expected to account for a significant part of the world’s energy consumption...
Updated by
Jakob Mikael Espersen
on 12 June 2023
Updated by
Jakob Mikael Espersen
on 12 June 2023