Maryam Tabesh

Google (United States)

Papers

1

Total Citations

40

H-Index

1

About

Maryam Tabesh is a pioneering researcher at the intersection of human-machine interaction and advanced sensing technologies, with a focus on millimeter-wave radar systems. Her most-cited work, "2.3 SOLI: A Tiny Device for a New Human Machine Interface" (2021, 40 citations), introduces a compact 60GHz radar-based platform that enables intuitive, touchless gesture recognition for IoT applications. This contribution is notable for miniaturizing radar sensing into a tiny, low-power device capable of detecting subtle human motions, effectively bridging the gap between humans and machines in smart environments. Tabesh’s research addresses critical challenges in making sensors that allow systems to “see, hear, feel, and intuitively understand” their surroundings, advancing the field of ubiquitous computing. Her work has garnered attention for its practical implications in wearable technology, smart homes, and autonomous systems. By pushing the boundaries of radar-based interfaces, Tabesh has established herself as a key innovator in creating seamless, non-contact human-machine communication, with her SOLI device representing a significant step toward more natural and responsive IoT ecosystems.

Research Focus

Key Achievements

1
H-Index
1
Papers
40
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
2.3 SOLI: A Tiny Device for a New Human Machine Interface
40 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Google (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago