AlgaeBase
The problem of red tides, also known as harmful algal blooms (HABs), is getting worse throughout the world. They can have adverse impacts on marine life, such as fish kills and seafood contamination, and a harmful effect on humans. To give early warning of HABs, we propose a robust, versatile, miniaturised system, AI-powered system with a novel algorithm design.
Team members
Mr Li Shi-lung* (Alumnus, Dept. of Physics, CityU)
Mr Kwok Man-sang (Master, Dept. of Electrical Engineering, CityU)
Miss Leung Wing-yi (Alumnus, School of Creative Media, CityU)
Mr Chan Chun-yi (Alumnus, Dept. of Electrical Engineering, CityU)
Mr Li Kwok-sing (Hong Kong Metropolitan University)
Mr Chan Shek-kwan (Hong Kong Metropolitan University)
Dr Lam Ironside (The University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
Mr Kwok Man-sang (Master, Dept. of Electrical Engineering, CityU)
Miss Leung Wing-yi (Alumnus, School of Creative Media, CityU)
Mr Chan Chun-yi (Alumnus, Dept. of Electrical Engineering, CityU)
Mr Li Kwok-sing (Hong Kong Metropolitan University)
Mr Chan Shek-kwan (Hong Kong Metropolitan University)
Dr Lam Ironside (The University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
Achievement
1. CityU HK Tech 300 Seed Fund (2021)
Email