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Statistics and Data Analysis
Front page
PhD
Current PhD projects
Statistics and Data Analysis
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Algorithms, Logic and Graphs
Cognitive Systems
Cybersecurity Engineering
Dynamical Systems
Embedded Systems Engineering
Mathematics
Scientific Computing
Software Systems Engineering
Statistics and Data Analysis
Clara Brimnes Gardener
Davide Cacciarelli
Henrik Hviid Hansen
Kasper Alnor Einarson
Kristoffer Vinther Olesen
Manja Gersholm Grønberg
Marta Rotari
Meadhbh Healy
Nikolaj Normann Holm
Rune Dodensig Kjærsgaard
Sara Dorthea Nielsen
Tobias Alexander Bang Tretow-Fish
Tobias Engelhardt Rasmussen
Visual Computing
PhD projects affiliated with DTU Compute
Current PhD projects in Statistics and Data Analysis
Analysing Public Transport Delays using Multivariate Matrix Exponential Distributions
Clara Brimnes Gardner: Analysing Public Transport Delays using Multivariate Matrix Exponential Distributions
Data Analytics in Production
Davide Cacciarelli: Active learning-based sampling method to facilitate product-related data collection in big data environments
Predictive maintenance and the issues of unsupervised model validation, false...
Henrik Hviid Hansen: Designing reusable and trustworthy machine learning models for predictive maintenance of many different power plant components.
Machine learning on biological data for faster data-driven drug discovery and...
Kasper Alnor Einarson: Machine learning on biological data for faster data-driven drug discovery and development
Predictive Analytics in a Command and Control Context
Kristoffer Vinther Olesen: How computers can detect piracy, smugglers and ships in need of help in real time
Computational Methods for Ordinal Mixed Models Applicable to Online User Ratings
Manja Gersholm Grønberg: How do we provide the user with the best recommendations? A new approach to analysis of data from recommender systems.
Production Analytics for a novel additive manufacturing system
Marta Rotari: Innovation is progress, and with this project we want to be part of it! A novel additive manufacturing system as an alternative to the injection...
Minimizing your Netflix interruptions
Register-based disease trajectories in cardiovascular conditions compared to trajectories...
Nikolaj Normann Holm: Examining cardiovascular and psychiatric disease trajectories through modern data analysis tools to provide doctors with novel methods for...
Extracting Essential Data and Making Inference from Big Data
Rune Dodensig Kjærsgaard: Extracting Essential Data from Big Data
Using machine learning methods in Precision Psychiatry with the aim of assisting...
Sara Dorthea Nielsen: AI Modeling and Evaluation in Precision psychiatry
Towards RhapsodeTM Adaptive Learning System-Mediated Quality Improvement of Nursing...
Tobias Alexander Bang Tretow-Fish: Evaluating an Adaptive Learning System through a Data Science Approach
Artificial Intelligence and Machine Learning in Field Service
Tobias Engelhardt Rasmussen: Using Machine Learning Methods to Optimise Field Service Visits and Avoid Unnecessary Driving
Updated on 2 February 2022
Updated on 2 February 2022