Shaojun Cai
PHD Student at National University of Singapore
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolShaojun Cai is a PhD candidate in Computer Science at the National University of Singapore with 13 years of industry and research experience in robotics, autonomous driving, and human-robot interaction. He has led R&D on vision-based localization and real-time embedded SLAM fusion systems in industry, and developed intention-aware planning and collision-avoidance modules for autonomous vehicles with published results at ICRA. His work spans sensor fusion (camera, LiDAR, IMU, GPS, encoders), map compression for large-scale environments, and deployment optimizations for resource-constrained platforms. Comfortable moving between academic rigor and production constraints, he has written patents and top-conference papers while testing systems in real-world urban settings. Based in Singapore, Shaojun combines deep algorithmic skills with hands-on system integration and a track record of reducing accident rates in large-scale simulation studies. He brings a practical focus on safety and scalability that informs both his research and product engineering.
13 years of coding experience
8 years of employment as a software developer
High School, High School at Nanjing Foreign Language SchoolBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at South China University of TechnologyMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at National University of Singapore
Github Skills (24)
ieee9
lidar9
slam-algorithms8
lists7
robotics7
ros7
slam7
deep-learning5
odometry5
machine-learning5
artificial-intelligence5
pytorch4
agent4
segmentation4
computer-vision4
Programming languages (3)
Github contributions (5)
petercaiyoyo/appl
May 2013 - Oct 2013
Contributions:7 commits in 4 months
student-petercai/jigsaw-game
Jan 2019 - Jan 2019
Contributions:6 pushes, 1 branch in 6 days
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