Summary
Joakim Haurum is a Tenure-Track Assistant Professor and applied researcher with nine years of experience specializing in computer vision, machine learning, and computer graphics. He focuses on fine-grained image analysis for expert domains like biodiversity and infrastructure monitoring, tackling hierarchical, long-tailed, and noisy/open-world annotation challenges. His work spans from practical automation projects—such as automated sewer inspection—to novel view synthesis for synthetic data generation, blending real-world impact with methodological rigor. Joakim has held research and postdoctoral roles across Aalborg University, the Pioneer Centre for AI, and visiting positions at Edinburgh and Vector Institute collaborations, reflecting strong academic partnerships and interdisciplinary reach. Based in Vejle, Denmark, he combines deep technical expertise with an eye for data-efficiency and annotation realism that often distinguishes applied vision systems from standard benchmarks.
9 years of coding experience
4 years of employment as a software developer
Master of Science (MSc) in Engineering, Vision, Graphics and Interactive Systems (VGIS), Master of Science (MSc) in Engineering, Vision, Graphics and Interactive Systems (VGIS) at Aalborg University
Gymnasieeksamen, Matematik A, Fysik A, Idehistorie B, Gymnasieeksamen, Matematik A, Fysik A, Idehistorie B at Aalborg Tekniske Gymnaisum
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at Aalborg Universitet
Danish, English