Andrew Lui

Dr. Andrew Lui is a Researcher at the QUT Centre for Robotics, Queensland University of Technology. Prior to this, he spent 21 years as an academic and administrator at the Open University of Hong Kong (OUHK), where he received awards such as the OUHK Teaching Excellence Award and IBM Faculty Award. He holds a PhD in spatial data modelling (Australian National University) and a BSc (Hons) in computer science and physics (University of Sydney).

His research focuses on computational intelligence, spatial-temporal data modelling, educational technology, and robotics applications. Notable areas include pedestrian trajectory prediction, traffic flow modelling, and automated grading systems. Lui is skilled in programming languages (Python, Java, etc.) and frameworks like Spring MVC, with contributions to educational technology and robotics.

Recent work emphasizes urban complex analysis (e.g., pedestrian intent classification, weather-time-trajectory fusion networks) and education technology innovations (e.g., automated grading systems, mindfulness in academic contexts). His publications span 30+ years, addressing diverse topics from neural networks to nursing education.

• Scientific Awards: OUHK Teaching Excellence Award, IBM Faculty Award
• Advising: Coached award-winning student teams in competitions and programming contests

Lui’s work bridges robotics, urban systems, and education, with a focus on practical applications like accident black spot prediction and immersive learning environments.