Lianyong Qi
Papers
1
Total Citations
12
H-Index
1
About
Dr. Lianyong Qi is a leading researcher at the intersection of the Internet of Things (IoT), biometric security, and intelligent data processing. His work addresses critical challenges in privacy and authentication within interconnected environments, with a particular focus on leveraging advanced signal processing and machine learning techniques. A standout contribution is his pioneering study on "Gender Classification Based on Spatio-Frequency Feature Fusion of OCT Fingerprint Images in the IoT Environment" (2024), which has already garnered 12 citations for its novel approach to enhancing biometric identification. By fusing spatial and frequency domain features from Optical Coherence Tomography (OCT) fingerprints, Dr. Qi’s work pushes the boundaries of secure, non-invasive authentication in IoT systems. His research is instrumental in developing more robust and privacy-preserving identification methods, making him a key figure in the ongoing evolution of smart, secure IoT ecosystems. Dr. Qi’s innovative fusion of biometrics and IoT security continues to influence both academic inquiry and practical applications in the field.
Research Focus
Key Achievements
Top Papers
- 1