I work across the full stack of aerospace communication systems — from RF front-end and antenna design (helical, Yagi-Uda, dipole) to software-defined radio (SDR)–based telemetry, tracking, and data downlink. My research bridges experimental and computational domains, combining ground-station development and field operations (NOAA/ISS reception, CubeSat balloon test) with advanced signal processing and distributed learning.

I focus on robust high-mobility waveforms such as OTFS and OFDM, and on privacy-preserving modulation recognition using federated and split learning architectures. Through this integration of hardware design and AI-driven communication intelligence, my goal is to enable secure, high-throughput connectivity for CubeSat and UAV networks.