Supervision
Masters Theses (Co-supervisor)
- Harald Vilhelm Skat-Rørdam, Simon Nørby Knudsen, Mia Hang Knudsen (Ongoing), Harnessing Wearable Biosensors for Predicting Obsessive-Compulsive Disorder Episodes in Minors
- Asbjørn Hammershøi Petersen (Ongoing), Speaker diarization of children and adults in LFE recordings using feature extraction and temporal segmentation
- Ambrus Török (Ongoing), Limited Resource Chatbots – How well can they perform?
- Usama Ahmad Mir (2023), Facial recognition for kinship detection using deep neural networks
- Sebastian Nicolai Fabricius Grut (2023), Kinship detection of individuals with video data
- Zihao Fu (2023), Chinese family relationship recognition via video and audio modalities
- Maria Garofalaki (2022), Speech and natural language processing for clinical in-the-wild data
- Laurits Fromberg (2023), Analysis of Children with Obsessive-Compulsive-Disorder using Machine Learning
- Carlos Ramos Gonzalez (2023), Biosignal synchrony analysis in collaboration activities
- Maria-Madalina Jarca (2023), Intelligent computer vision systems applied in psychiatry
- Vincent Parluhutan Ryan (2023), Intelligent computer vision systems applied in psychiatry
- Angélica Stephania Zambrano Suárez (2022), Automating Crowdsourcing Experiments for Speech Quality to Provide Relevant Insights of Results and Optimize Algorithms for Human Perception (publication)
- Steinn Orri Erlendsson (2022), Deep Learning Methods in Speech Emotion Recognition for Danish language
- Nicklas Leander Lund (2021), Analysis of Obsessive Compulsive Disorder in Children using Deep Learning
- Farida Yeasmin (2020), Privacy Analysis of Voice User Interfaces (publication)
Masters projects (Co-supervisor)
- Anna Leschanowsky (2020), Perception of Privacy Measured in the Crowd–Paired Comparison on the Effect of Back-ground Noises (publication)
Bachelor Theses (Co-supervisor)
- Smilla Due (Ongoing), Evaluation of Large Language Models
Bachelor projects (Co-supervisor)
- Rosa Louise Elinor Marker (2021), Wearable to assist children with OCD
