Mahya Beheshti

New York University

Papers

1

Total Citations

16

H-Index

1

About

Mahya Beheshti is a pioneering researcher at the intersection of assistive technology and computer vision, whose work is redefining navigation for individuals with blindness and low vision. Her key research areas include vision-based localization, infrastructure-independent navigation systems, and human-centered computing. Beheshti’s most notable contribution is the development of **UNav**, an infrastructure-independent vision-based navigation system that eliminates the need for costly pre-installed sensor networks. This breakthrough, published in 2022 and garnering 16 citations, leverages visual data to create accessible, real-time navigation pipelines—a stark contrast to traditional sensor-based solutions that require extensive setup and maintenance. By harnessing vision-based localization, Beheshti’s work not only advances assistive technologies but also informs broader applications in robotics and autonomous systems. Her research stands out for its practical impact: enabling greater independence for visually impaired users while reducing barriers to deployment. With a focus on scalable, cost-effective solutions, Beheshti is shaping the future of inclusive navigation, demonstrating how computer vision can bridge gaps in accessibility and empower underserved communities. Her contributions underscore a commitment to translating technical innovation into tangible social good.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low Vision
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: New York University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago