RESEARCH

My research builds next-generation wireless systems that connect, sense, and act on the physical world. Over a decade of work spanning 100+ papers across SIGCOMM, MobiCom, SenSys, CHI, Nature and other venues falls under four thematic pillars.

01

Wireless Sensing

Signals that see: health, materials, and environment without cameras or contact.

We repurpose wireless signals — mmWave radar, WiFi, RFID, and acoustic waves — as high-fidelity sensors for the physical world. Systems perceive human physiology (muscle fatigue, dental health, swallowing), material properties (surface texture, depth, package integrity), and environment (tire wear, wind noise, indoor positioning) without cameras or body contact. Cross-modal fusion — pairing mmWave with cameras or acoustic transducers — pushes spatial and material resolution far beyond what any single modality achieves alone.

Wireless Sensing research
02

Wireless Actuation

Signals that act: robots, reconfigurable antennas, and smart matter controlled by RF.

We engineer systems where wireless signals don’t just carry information — they physically reshape matter. Liquid-metal antennas reconfigure to any operating frequency; metasurfaces convert or redirect RF energy across a 2–8 GHz span; and electronics-free soft robots navigate environments using only wireless heating — no batteries, no wires, no on-board control. The result is a class of programmable wireless hardware whose morphology, resonance, and motion are all controlled through the air.

Wireless Actuation research
03

Wireless Intelligence

Signals that think: AI-augmented networks, distributed MIMO, and spectrum-aware systems.

We design network architectures and AI-augmented systems that scale wireless capacity, sharpen spectral efficiency, and coordinate intelligent agents. Foundational contributions (MegaMIMO, OpenRF) demonstrated order-of-magnitude throughput gains in shared spectrum; later work eliminated channel-state feedback overhead in cellular networks. Most recently, LLMs assist FCC spectrum compliance (WiLL) and reinforcement learning guides whale-tagging robot teams (AVATARS) — reflecting a shift toward AI-native wireless design.

Wireless Intelligence research
04

Wireless Networking

Signals that connect: from battery-free IoT tags to CubeSats in low Earth orbit.

We design protocols and hardware to bring wireless to the most resource-constrained settings: battery-free backscatter tags, long-range LP-WAN networks, ambient energy harvesting, and CubeSat/LEO satellite links. Research spans the full stack — from physical-layer waveform design to network-layer aggregation — enabling ubiquitous sensing at building and city scale. Metamaterial reflectors, ambient RF harvesting, and community-operated ground stations reflect a philosophy: wireless coverage should reach everyone, powered by nothing more than signals already in the air.

Wireless Networking research