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Front page
PhD
Former PhD projects
2021
Front page
PhD
Former PhD projects
2021
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2022
2021
Andreas Brasen Kidmose
Anders Eltved
Amine Abbad Andaloussi
Alessandro Pasta
Anne Ryelund Nielsen
Eleftherios Kyriakakis
Georgi Plamenov Tanev
Laurent Vermue
Michele De Donno
Mohammadreza Barzegaran
Niels Bruun Ipsen
Philip Johan Havemann Jørgensen
Sayantan Sengupta
Sébastien Pierre Christophe Gondron
Moein Jahanbani Veshareh
David Scott Winterrose
Florian Cyril Stutz
Jakeoung Koo
Jakob M. Slipsager
Frederik Banis
Janus Nørtoft Jensen
Shizra Sultan
Johanna Perens
Mads Emil Brix Doest
Mariam Andersson
Andrea Dittadi
Niels Jeppesen
Jan Lorenz Svensen
Rikke Marie Langhede
Nicolai Andre Brogaard Riis
Leonardo Landi
Niclas Laursen Brok
Viggo Falster
Jia Qian
Maciej Jan Korzepa
Martin Jørgensen
Maximillian F. Vording
Nicki Skafte Detlefsen
Petr Taborsky
Rasmus Larsen
Sigriður Svala Jónasdóttir
2020
2019
2018
2017
2016
y
Former PhD projects completed in 2021
Long-Term Security for Big Data
Andreas Brasen Kidmose: Keeping data confidential and authentic for a long time, i.e., up to 100 years, is challenging. Computers get faster all the time, at...
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...
Usability and understandability of hybrid process models
Amine Abbad Andaloussi: Advanced case management (ACM) systems combine features from business process management field and business intelligence to offer flexible...
Adapting hearing aids contextually by learning user preferences from data
Alessandro Pasta: Adapting hearing aids contextually by learning user preferences from data
Topology of exotic wakes
Anne Ryelund Nielsen: Any object moving in a liquid or a gas will affect the structure of the flow around it. As an example, we often see a remarkable organization...
Open Source Fog Node - Hardware support for virtualization
Eleftherios Kyriakakis: We are at the beginning of a new industrial revolution (Industry 4.0) where disruptive technologies such as cyber-physical systems, machine...
Portable Diagnostic Laboratory to Diagnose Thyroid Gland Related Disorders
Georgi Plamenov Tanev
Big Data Analytics with special emphasis on Food Supply Chain Data
Laurent Vermue: In modern applications, there are found several operational data base systems and large amounts of heterogeneous data that is being collected...
Securing the digital world - Fog Computing
Michele De Donno: Looking at the history, the humanity witnessed several great revolutions that changed people's daily life. First, the steam and the machines...
Fog configuration for critical control applications
Mohammadreza Barzegaran: The industry has experienced three revolutions so far. The first Industrial Revolution was the transition from hard production methods...
Big Data in the food supply chain
Niels Bruun Ipsen: The use of Big Data methods within the food supply chain has seen an increasing interest in the last few years in an attempt to realize the...
Big Data Analytics with special emphasis on Food Supply Chain Data (2/2)
Philip Johan Havemann Jørgensen
Saving Danish Coastal Ecosystem using AI/Machine Learning
Sayantan Sengupta: During the last half of the 20th century, coastal ecosystems were subjected to different types of anthropogenic and climatic pressure such...
Vertical Composition of Distributed Systems
Sébastien Pierre Christophe Gondron: Communicating on networks, like the Internet, requires to run a wide variety of security protocols.
Numerical modelling of reservoir souring in chalk reservoirs
Moein Jahanbani Veshareh: Most of us are familiar with microorganisms for a simple reason, maybe for hardships that we have when we get flu or if we are greedy...
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...
Mesh Generation from Optimized Shapes
Florian Cyril Stutz
Segmentation from projections
Jakeoung Koo: Computed tomography (CT) has played an important role in hospitals for diagnosis as well as other industrial areas including material science, chemical...
iMOS - Intelligent Motion Sensing during neuro imaging using machine learning
Jakob M. Slipsager
Efficient Operation of Energy Grids
Frederik Banis: Electrical grids are one of the core infrastructures in our world nowadays. In order to ensure a stable operation of these grids, we need to meet...
The Statistics of Estimated Surfaces
Janus Nørtoft Jensen
Context-aware access control
Shizra Sultan: Video surveillance has become a necessary and unavoidable part of this modern era. It is widely adopted and has large area of applications including...
Identification of new brain areas involved in body weight control and appetite...
Johanna Perens: According to WHO more than 1,9 billion people all over the world suffered under excess bodyweight in 2016.
Estimation of Surface Radiometry
Mads Emil Brix Doest
Multi-modal microstructure imaging of biological tissue
Mariam Andersson
Learning and planning - A machine learning meets AI approach
Andrea Dittadi: We want to build artificial agents (e.g. robots) that learn, through experience and raw sensory observations, to act autonomously in their environment...
Cheaper Wind Power using Machine Learning - Reducing the cost of wind power with...
Niels Jeppesen: The push towards clean and renewable energy is largely driven by ever cheaper and more effective means of production. To reduce cost and improve...
Model predictive control in urban systems
Jan Lorenz Svensen: The drainage systems of the urban environments, has in the recent decades, been challenged by an increase in the number of larger rain events...
Flows and colourings
Rikke Marie Langhede: Graph coloring is a major subfield in graph theory, which started in the middle of the 19th century with the famous 4-Color Problem.
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...
Curves and error-correction
Leonardo Landi: Promising AG codes can supply the demand of powerful error-correcting tools in data storage
Stochastic Dynamic Optimization and Control Theory
Niclas Laursen Brok: In many areas in our modern day society, we want to control the behaviour of complex systems in an optimal way - it could be a portfolio...
Image Synthesis and Analysis of Engineered Surface Microstructure
Viggo Falster
Distributed real-time data analytics
Jia Qian: Fog computing is proposed to alleviate the computing burden from the cloud side, which can be considered as a middleware between cloud and edge devices...
Data driven UX engineering of cognitive interfaces for augmented hearing
Maciej Jan Korzepa: Towards ‘self-driving’ hearing aids
The stochastic geometry of latent variable models
Martin Jørgensen
Active Deep Learning for Nano-Sensor Systems
Maximillian F. Vording: In this project we will answer the question: ”How can the human user and intelligent computer systems interact in symphony and learn efficiently...
Making computers better at decision making
Nicki Skafte Detlefsen: Whether we want it or not, our society becomes more and more dependent on AI. The typical example of how AI is trying to change our society...
Federated deep learning for privacy preserving mobile data modelling
Petr Taborsky: The project will create a method that provides for new services creation in an upcoming interconnected word of IoT and 5G networks without compromising...
Neural Abstract Machines and Program Induction
Rasmus Larsen: Neural networks have become popular in applications requiring perception, such as speech recognition, self-driving cars, or natural language processing...
Circadian rhythm sensing at scale
Sigriður Svala Jónasdóttir: Nearly all life forms on earth exhibit daily rhythms of rest and activity that are influenced by biological and environmental cues...
Updated on 7 June 2022
Updated on 7 June 2022