Research Interests

Network Optimization and Offloading

• User Association

• Resource Allocation

• Power Control

• Optimization Theory for Network Management

• Vertical HetNet Solutions including HAP, LAP, and Drones.

AI-Enabled Communication Technologies

• AI-Enabled MIMO Technologies

• Integrated Sensing and Communication

• Semantic Communication

Privacy-Preserving Deep Learning: Theory

• Core Learning Theory Related to Privacy in Machine Learning 

  • Influence function

  • Differential privacy

  • Cook's distance

  • Machine unlearning

  • Information theory

• Privacy Attack and Defense Methods in Machine Learning

  • Model inversion attack/defense

  • Model reconstruction attack/defense

  • Membership inference attack/defense

  • Data reconstruction attack/defense

  • Domain inference attack/defense

Privacy-Preserving Deep Learning: Practice

• Vision/Language-Related Applications for Privacy-Preserving Surveillance Systems

• Personal identifiable information (PII)

• Person Re/De-Identification

• Privacy-Preserving Generative Model

• Image Manipulation/Generation