The Machine Learning research group at Østfold University College consists of a mix of scientific staff, master and doctoral students and external members from partners, e.g. local businesses. Our work covers the whole spectrum from basic research and theoretical work to developing practical large-scale machine learning algorithms that are widely used in industry.
We focus on the following strategic areas:
Artificial Intelligence in Bio-Health
We conduct research using clinical and molecular omics data, within the fields of bioinformatics and health informatics, with a particular focus on decision support and personalized medicine. Our applications are built upon fundamental computational research in sequential, time-series, and multi-way data analysis.
Biologically Inspired Artificial Intelligence, both basic and applied research
We have a particular focus on evolutionary computation including swarm intelligence and natural computing applied to healthcare, industrial optimization, and fake news detection. In addition, we conduct basic research in neuroAI, neural networks, and general intelligence.
Artificial Intelligence in Education
We conduct research on how artificial intelligence methods can shape the future of education. This work involves intelligent analysis, mining, and retrieval of multimodal instructional data, including text, audio, and video.
Artificial Intelligence for text recognition from different media
We have particular expertise in text recognition from diverse sources, including handwritten documents, printed text, historical documents, images, and video. This work involves the development and application of advanced computer vision techniques and zero-, one-, and few-shot learning approaches.
Ongoing Projects
- Decision Support in Health Care using Artificial Intelligence (AI), 2019-2022, funded partly by Interreg, 5MNOK
- Artificial Intelligence for Assessment for Learning to Improve Learning and Teaching in 21st Century, 2022-2025, funded by NFR, 12MNOK
- Hugin-Munin: Enhanced Access to Norwegian Cultural Heritage using AI-driven Handwriting Recognition, 2021-2025, funded by NFR, 12MNOK
- DeepCA: Hybrid Deep Learning Cellular Automata Reservoir, 2019-2023, funded by NFR, 15MNOK
- Remote Intelligent Health Care Monitoring, 2023, funded by Eurostar 3, 5.5MNOK