Papers
2
Total Citations
8
H-Index
1
About
Ross Murch is a leading researcher in wireless communications and signal processing, with key contributions spanning adaptive OFDM systems, indoor imaging, and waveguide channel modeling. His work on subcarrier delay spread based adaptive OFDM for mobile wideband waveguide channels (2018, 7 citations) addresses critical challenges in communication for robots and vehicles traveling through tunnels, proposing a novel technique that optimizes data transmission in constrained environments. More recently, Murch has pioneered the use of generative AI for passive indoor imaging through WiFi signals, as demonstrated in his groundbreaking work "Wifi-Gen" (2026, 1 citation). This research represents the first effort to frame WiFi-based indoor imaging as a machine learning problem, enabling high-resolution, device-free mapping for robotics and IoT applications without requiring specialized hardware. By leveraging ubiquitous WiFi signals, Murch's approach promises to synchronize spatial information across connected devices, revolutionizing how autonomous systems perceive and navigate indoor environments. His work bridges theoretical signal processing with practical deployment challenges, earning recognition for its innovation in both adaptive communications and AI-driven sensing.
Research Focus
Key Achievements
Top Papers
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