PhD student Huy Duong Gia, a member of the MISO project, participated in The Student Expo competition, presenting a prototype of the MISO gas ambient monitor. This prototype, which utilizes an NDIR sensing module and a Tiny-ML based calibration model on the device, impressed the judges and earned Huy Duong Gia one of the runner-up prizes for “Most Innovative Student Project.”
The Student Expo, which brings together universities and research institutes from across Norway, provided a platform for students to showcase their cutting-edge projects. Huy’s work on the MISO project highlights the potential of advanced sensing technologies combined with machine learning to improve the accuracy and efficiency of gas monitoring in various environmental settings.
