We explore how radiowaves interact with physical environments and develop advanced models that capture the complexity of wireless channels from urban to aerial and spaceborne scenarios

We develop and optimize algorithms for future-proof wireless links, including beamforming, waveform design, channel estimation, and sensing-aware signal processing

We study and analyze wireless network performance, build realistic simulation frameworks, and develop solutions to optimize service quality and scalability, including digital twin, AI, data-driven, and stochastic approaches.