Henrik Egemose
PHD Student at Det Tekniske Fakultet, Syddansk Universitet
Odense, Region of Southern Denmark, Denmark
Summary
👤
Senior🎓
Top SchoolHenrik Egemose is a PhD student and applied physicist with a decade of experience turning computer vision research into practical systems, specializing in defect detection and autonomous inspection workflows. His master's work developed a drone-based vision algorithm for identifying repeated-structure defects in airport fences, combining OpenCV and C++ and earning a win at the Nordic Drone Games. At the University of Southern Denmark he has progressed from instructor and academic consultant roles to scientific assistant and now doctoral research, blending teaching, guideline development, and hands-on algorithm design. Henrik’s background in applied mathematics and physics gives him a strong analytical foundation for robust perception systems, and he’s comfortable taking projects from prototype vision algorithms to field-deployable solutions. An understated strength is his track record of collaborative, competition-proven problem solving that pairs autonomous systems with practical operational needs.
10 years of coding experience
Master of Physics, Specialisation in computer vision, Master of Physics, Specialisation in computer vision at Syddansk UniversitetHTX, Matematik A, Fysik A, Kemi B, Procesteknik A, HTX, Matematik A, Fysik A, Kemi B, Procesteknik A at Odense Tekniske Gymnasium
Danish, English, German
Github Skills (5)
surface10
open-access6
journal6
creative-commons5
academia5
Programming languages (1)
Github contributions (5)
egemose/DroneVideoMeasure
Jan 2019 - Nov 2020
A tool to measure and track things on a planar surface from Drone video recordings.
Contributions:3 releases, 36 commits, 1 PR in 1 year 10 months
video-recordingssurfacevideomeasuredrone
egemose/egemose.github.io
May 2016 - Apr 2018
Contributions:60 pushes, 1 branch in 1 year 11 months
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