
About
Alexander Horsch is a full-time Professor at the Department of Informatics, UiT The Arctic University of Norway. His research bridges Artificial Intelligence with Medical Imaging, Biosignal Analysis, and Public Health Informatics, with a focus on Accelerometer Data Processing and Machine Learning Applications in healthcare.
Recent publications demonstrate expertise in:
- Accelerometer-based Physical Activity Monitoring (e.g., Automatic time in bed detection, Sedentary time estimation)
- Deep Learning Architecture (e.g., packetLSTM, GUNet++, Aux-Drop)
- Interpretability in AI (e.g., Propagating Transparency, T-MIS: Transparency Adaptation)
- Biomedical Applications (e.g., Virtual Labeling of Mitochondria, Digital Staining)
Collaborations span multiple institutions through projects like:
- VirtualStain - AI solutions for label-free biomedical imaging
- ACTIHEALTH - Physical activity epidemiology in Arctic populations
- Fit Futures - Adolescent health cohort studies
He actively participates in research groups including:
- Computational Analytics and Intelligence (CAI)
- Health Informatics and Technology (HIT)
- High North Population Studies
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