25/09/2026
🎓 Congratulations to 𝐒𝐡𝐚𝐧 𝐖𝐮, who successfully defended his PhD thesis today!
His thesis, titled “Deep Learning Architectures for Autonomous Perception: From Sensor Auto-Calibration to Efficient Multi-Object Tracking,” was supervised by Assoc. Prof. Amnir Hadachi.
In his thesis, Shan developed novel machine learning methods to advance perception and multi-object tracking for autonomous vehicles and robotic systems. His research addresses key challenges in camera–LiDAR calibration, as well as the accurate and efficient detection and tracking of small and occluded objects.
The proposed approaches improve perception performance while reducing computational and energy requirements, contributing to more efficient and reliable autonomous systems.
We wish Shan continued success in his future research and professional endeavours! 👏
