Featured Projects

Environmental Intelligence

I build physics-informed sensing systems for environmental intelligence using emerging modalities such as RF, metasurfaces, UWB radar, mmWave sensing, and multimodal learning. My work focuses on translating complex environmental signals into accessible and actionable information for real-world applications such as water quality monitoring, soil sensing, and intelligent agriculture.

AI Systems

I develop robust and efficient machine learning systems for real-world deployment. My research focuses on learning under missing, delayed, or heterogeneous data, with an emphasis on cross-modality inference, representation learning, and adaptive intelligence in resource-constrained environments.