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 (31)
lwip9
gazebo-simulator8
xterm-js8
ignition8
gazebosim8
simulation7
robotics7
magnification7
robot-simulator7
lua7
api7
ros7
cheerp7
robotics-simulation7
cpp7
Programming languages (7)
Github contributions (5)
jkooij/jkooij.github.io
Jan 2018 - Apr 2025
Contributions:2 PRs, 146 pushes, 3 branches in 7 years 4 months
jkooij/depthaware-momag
Jul 2016 - Dec 2016
Contributions:13 commits, 3 pushes, 5 branches in 4 months
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