Rate My Professor Henrik Karstoft

Henrik Karstoft is a Professor (Docent) in the Department of Electrical and Computer Engineering at Aarhus University, serving as Head of the Signal Processing and Machine Learning Section. He earned a PhD in Mathematics with a focus on Differential Topology in 1991, an MSc in Mathematics in 1988, and BSc degrees in Physics and Computer Science. Since 2007, he has held his professorial position within Aarhus University's engineering departments, contributing to research and education in electrical and computer engineering. Karstoft has supervised three postdocs, eight PhD students, over 60 MSc theses, and more than 65 bachelor projects. He leads the Computer Vision and Biosystems Signal Processing research group and has been involved in heading MSc programs in Electrical Engineering and Computer Engineering.

His research centers on signal processing, machine learning, and computer vision, applied to biosystems including plant species identification, insect monitoring, embryo grading, agricultural robotics, and remote sensing. Notable projects include the FLYgene initiative (2022-2026) for sustainable insect production through selective breeding. Karstoft has produced 108 research outputs, including 48 journal articles and 21 conference papers. Key publications encompass 'Automatic grading of human blastocysts from time-lapse imaging' (Kragh et al., 2019), 'Embryo selection with artificial intelligence: how to evaluate and validate a model ready for clinical use' (Kragh and Karstoft, 2021), 'Plant species classification using deep convolutional neural network' (Dyrmann et al., 2016), 'Using Deep Learning to Challenge Safety Standard for Acute Hazard Detection at Swing Sawing' (Steen et al., 2016), and 'A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments' (Bjerge et al., 2024). His work has advanced automated monitoring and prediction in biological and agricultural contexts, with applications in precision farming, wildlife monitoring, and reproductive medicine.