1. 2022-2025: “Machine learning-enabled intelligent fiber-optic communication networks,” funded by Shenzhen Finance Bureau and
2. 2024-2025: “Machine learning-enabled faults management, transmission quality prediction, and performance monitoring in fiber-optic networks,” funded by National Natural Science Foundation of China (NSFC)
3. 2024-2027: “The fibers of nature: Ecohydrological flows assessment via distributed fiber-optic sensing networks,” funded by Cross-disciplinary Research and Innovation Fund of Tsinghua Shenzhen International Graduate School
