Kim Bjerge is an Associate Professor and group leader at Aarhus University who combines over two decades of industrial embedded-systems experience with academic expertise in computer vision and deep learning, recently completing a PhD focused on insect monitoring. He teaches and supervises across bachelor and master programs in signal processing, HW/SW co-design, embedded real-time systems and system-on-chip design, while leading a diploma engineering teaching group. His background spans hands-on development and management in industrial measurement, professional audio DSP, FPGA and embedded Linux, bridging practical product delivery and research-driven innovation. Known for bringing multidisciplinary perspectives—electronics, software engineering, entomology and machine learning—he frequently translates complex, real-time constraints into deployable vision systems. Colleagues value his mix of industry pragmatism and academic rigor, and his PhD work highlights an uncommon application of deep learning to ecological monitoring.
10 years of coding experience
29 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision and Deep Learning for Insect Monitoring, Doctor of Philosophy - PhD, Computer Vision and Deep Learning for Insect Monitoring at Aarhus University
6 courses in managment and organisation (Merkonom), 6 courses in managment and organisation (Merkonom) at Århus Købmandsskole
B.Sc.E.E. (Teknikumingeniør), Datacommunication, B.Sc.E.E. (Teknikumingeniør), Datacommunication at Ingeniørhøjskolen i Aarhus
Master's Degree, Master of Technical Information Technology, Master's Degree, Master of Technical Information Technology at Aarhus Universitet
Contributions:34 commits, 6 PRs, 39 pushes in 6 years 1 month
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