My research develops systems, protocols, and AI-assisted methods for LPWAN and wireless IoT networks. I focus on resilient and adaptive communication under interference, coexistence, and jamming, spanning LoRa anti-jamming defenses, learning-based coexistence management, cross-technology communication from LR-FHSS to LoRa, and MAC and scheduling mechanisms for bursty, reliable, and time-sensitive traffic in IoT and cyber-physical settings. I validate these designs through PyTorch-based learning, NS-3 simulation, SDR prototyping with GNU Radio and USRP, and outdoor or testbed experiments.

• Cross-technology communication: signal-level interoperability between LR-FHSS and LoRa, including receiver-side detection and correction.
• AI-assisted coexistence and coordination: deep reinforcement learning and coordinated learning agents for dense LPWAN deployments sharing spectrum.
• Resilient wireless communication: anti-jamming techniques for single and collaborative attackers in LoRa and LPWAN settings.
• MAC, scheduling, and protocol design: measurement-driven MAC and scheduling mechanisms for burst traffic, reliability, and time-sensitive wireless, industrial IoT, and cyber-physical operation.