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...