Zhijian Li earned, from the University of Tasmania, a Bachelor of Engineering with Honours in Electrical and Electronics Engineering (2022) and is currently completing a PhD in Mechanical Engineering (2023–present). He is now a Graduate Teaching Fellow of the School of Engineering at the University of Tasmania. His work in precision aquaculture and engineering has resulted in the development of a web-controlled, vision-based gantry feeding system and an award, the Johan Schrama Best Poster Prize, at the International Symposium on Fish Nutrition and Feeding (ISFNF 2026). His research interests include precision aquaculture, automated feeding systems, robotics, computer vision, embedded systems, and sensor integration.