Research interests

DSP for fiber communication systems

• Synchronization
• Frequency offset compensation
• Phase noise estimation and suppression

Machine learning for fiber systems

• Support vector machine for classification/regression: fiber nonlinearity mitigation, channel equalization, performance monitoring
• Artificial neutral network: fiber impairment mitigations, including linear and nonlinear effects
• Kalman filtering: laser phase noise tracking, DP signal separation.

Multi-carrier/advanced modulation techniques for optics and RF systems

• OFDM/FBMC
• Nyquist pulse shaping

Cost-efficient solutions for fiber systems

• Direct detection
• Single coherent superchannel reception
• Kramers-Kronig receiver

Cognitive radio network, dynamic spectrum access, MIMO