Teaching

Teaching is one of the most important parts of our academic mission. We are passionate about inspiring young students to explore the frontiers of aerospace engineering, AI, and autonomous systems.

📚 Courses

AAE4011 S2 2024/25

Artificial Intelligence in Unmanned Autonomous Systems

Undergraduate course · PolyU AAE

Covers AI fundamentals for autonomous drones and ground robots, including perception, planning, and decision-making using deep learning and reinforcement learning.

AAE4203 S1 2024/25 · S2 2023/24 · S1 2022/23 · S2 2021/22

Guidance and Navigation

Undergraduate course · PolyU AAE

GNSS positioning (SPP, DGNSS, RTK), visual navigation, state estimation using Kalman filtering and factor graph optimization. Includes video lectures and hands-on tutorials.

› View lecture videos on YouTube

AAE3004 S1 2023/24

Dynamical Systems and Control

Undergraduate course · PolyU AAE

Fundamentals of dynamical systems modeling, stability analysis, and feedback control design for aerospace and robotics applications.

AAE2004 2022

Introduction to Aviation System and Air Transport Regulation

Undergraduate course · PolyU AAE

Path planning for aerospace and aviation systems, introducing foundational concepts in aviation regulation and system design.

AAE4002 2021 – Present

Undergraduate Capstone Project

Final Year Project supervision · PolyU AAE

Supervising undergraduate capstone projects on UAV systems, multi-sensor fusion, autonomous vehicles, and robotic perception.

AAE6102 Invited Lecture

Satellite Communication and Navigation

Postgraduate course · PolyU AAE

Invited lecture on advanced GNSS positioning techniques, multi-sensor integration, and AI-aided navigation in urban environments.

💡 Teaching Innovations

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Programme Development Leadership

As Associate Programme Leader, drafted MSc in Low-altitude Economy proposal to meet emerging industry needs in drone technology and urban air mobility.

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GitHub-based Learning Pedagogy

Pioneered GitHub-based collaborative learning with 50+ code examples; adopted by Wuhan University, Beihang University, and UC Berkeley.

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Hands-on Project-Based Learning

ROS car projects, drone programming workshops (PX4/ArduPilot), MATLAB/Python demonstrations, and deep learning frameworks integration.

🏅 Student Supervision Highlights

FYP Reliable UAV Perception and Perching Solutions in Urban Areas — ZHAO Jiaqi, LI Mingjue To, FU Chenlei (AAE10, 2024/25)

FYP Handheld Multi-sensor Fusion Mapping System — QIN Qijun, WANG Yuteng (AAE11, 2024/25)

URIS A High-Definition Map with Traffic Signs Based on LiDAR-Visual-IMU Fusion SLAM — QIN Qijun (Merit Award, Best URIS Research Project 2024)

FYP An Adaptive Drilling Process for the Aircraft Skin — LAU Chun Ho, LEUNG Cheuk To, CHAN Hei Lam Joshua (DD01, 2022/23)

FYP UAS for Situation Awareness and Risk Assessment — LAM Yat Long, CHEN Yat Nam (AAE39, 2022/23)

FYP Person-following Mobile Robotics — MOHAMMAD Tamz (AAE33, 2021/22)