Research Topics

Research Interests

• Near-field sensing (NISE) and integrated sensing & communications (ISAC)

• Pinching-antenna systems (PASS) and segmented waveguide-enabled architectures (SWANs)

• Machine learning for wireless communications (deep learning and reinforcement learning)

• Multi-antenna technologies: beamforming, beam training, and beam alignment

• Cross-layer performance analysis at PHY/MAC layers

Selected Topics

• Near-field sensing enabled predictive beamforming: from estimation to tracking, with low-complexity sensing/learning pipelines for highly dynamic links.

• PASS/SWAN transceiver design: channel modeling, beamforming/combining, and resource allocation for waveguide-enabled reconfigurable apertures.

• CRB-driven sensing optimization: Cramér-Rao bound analysis and placement/activation optimization for continuous-aperture arrays.

• Learning-based beam alignment: online learning for beam training and alignment in near-field MIMO and fluid antenna systems.

• Covert communications with reconfigurable apertures: beam shaping and robust design under covertness constraints.

• Spectrum sharing for IoT: model-based/model-free mode selection and scheduling in unlicensed bands.