Qingya Zhao

Stevens Institute of Technology

Papers

2

Total Citations

10

H-Index

2

About

Qingya Zhao is a researcher at the intersection of gerontechnology, robotics, and cognitive health. Her work focuses on developing integrated systems that combine assistive mobile robots with wearable sensors to monitor and analyze gait in older adults. In her highly cited 2022 study, she introduced a novel framework for real-time gait monitoring during guided walking, demonstrating how robotic assistance can enhance balance and reduce fall risk—a critical contribution to active aging. Her follow-up work, also from 2022, broke new ground by revealing direct associations between cognitive ability and dynamic balance, using portable technology to explore the causal links between cognitive decline and postural instability. Though early in her career, Zhao’s research has already garnered citations for its practical, interdisciplinary approach to aging in place. Her work stands out for translating complex biomechanical and cognitive data into actionable insights for assistive robotics, offering a scalable path to safer, more independent living for older adults. Zhao is a rising voice in the movement to make technology a partner in healthy aging.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Gait monitoring for older adults during guided walking: An integrated assistive robot and wearable sensor approach
7 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Stevens Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago