Interns: Haoyan ZengUG
Advisors: Aggelos Bletsas, Anastasios, Kleniatis, Georgios Andreadis
Develop a device-free indoor localization system that estimates human location (or occupancy) using passive RFID sensing. The project combines real-world RFID measurements, wireless propagation simulation, and machine learning to improve localization accuracy and generalization across different environments.
This Week's Work: