Chad Lin
PHD Candidate
Adelaide, South Australia
Summary
👤
Senior🎓
Top SchoolChad Lin is a PhD candidate in Mathematics and Computer Science at the Australian Institute for Machine Learning with eight years of experience building perception and mapping systems for robotics and autonomous driving. Previously an Associate Researcher at ITRI, he led development of HD map data collection tools and implemented pose-graph optimization using Ceres to improve lidar scan matching and absolute map accuracy across hundreds of kilometers of mapping. He combines mechanical and robotics training with hands-on software engineering—delivering sensor-disconnection handlers, interactive map viewers, and annotation pipelines that supported traffic-light detection and controller modules. Based in Adelaide but with production experience in Taiwan and Melbourne, Chad is a proactive collaborator who seeks research challenges that translate directly to real-world robotic systems. An educator at heart, he has also taught outreach courses to elevate high-school STEM engagement, reflecting a talent for clear communication across technical and nontechnical audiences.
8 years of coding experience
3 years of employment as a software developer
Master's degree Robotics, Master's degree Robotics at National Chiao Tung UniversityDoctor of Philosophy - PhD Mathematics and Computer Science, Doctor of Philosophy - PhD Mathematics and Computer Science at Adelaide University
English, mardarin
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
automation9
python8
change-detection7
attention-mechanism7
ros5
ignition5
foundation-models5
husky4
gazebosim4
3d3
gazebo-simulator3
image-processing3
Programming languages (3)
Github contributions (5)
ChadLin9596/ncrl_lio
Sep 2020 - Sep 2021
Contributions:4 commits, 6 pushes, 1 branch in 11 months
ChadLin9596/Robust-Scene-Change-Detection
Sep 2024 - Feb 2026
[ICRA-2025] Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms
Contributions:2 releases, 2 PRs, 16 pushes in 1 year 4 months
attention-mechanismchange-detectionfoundation-models
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