Julian Kooij
Associate Professor
Amsterdam, North Holland, Netherlands
Summary
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Senior🎓
Top SchoolJulian Kooij is an Associate Professor at Technische Universiteit Delft with over a decade of experience bridging academic research and real-world autonomous vehicle systems. His work sits at the intersection of computer vision, deep learning and pattern recognition, with a strong engineering grounding in Python and C++ applied to visual sensing and intelligent vehicles. He progressed from PhD research at the University of Amsterdam to postdoctoral work and faculty roles at TU Delft, leading the "Visual Sensing and Learning" group and contributing to projects on pedestrian intent prediction for ADAS. Julian combines rigor in fundamental AI research with hands-on experimentation in vehicle perception, and is known for translating complex models into deployable sensing solutions. Based in Amsterdam, he brings both academic leadership and practical industry experience to multidisciplinary teams.
10 years of coding experience
6 years of employment as a software developer
MSc, Artificial Intelligence, MSc, Artificial Intelligence at University of AmsterdamVWO, VWO at Barlaeus Gymnasium
Dutch, English, Spanish, German
Github Skills (24)
lwip9
xterm-js8
magnification7
ros7
cheerp7
cpp7
webassembly6
lua6
ide6
virtual-machine6
tailscale6
neovim-plugin5
neovim5
vim4
nvim4
Programming languages (7)
Github contributions (5)
jkooij/jkooij.github.io
Jan 2018 - Apr 2026
Contributions:2 PRs, 162 pushes, 3 branches in 8 years 5 months
tudelft-iv/occluded_vehicle_acoustic_detection
Jan 2021 - Oct 2024
Code and data for the paper "Hearing What You Cannot See"
Contributions:1 push, 1 comment, 1 issue in 3 years 9 months
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