Guolan Ma
Papers
1
Total Citations
4
H-Index
1
About
Dr. Guolan Ma is a leading researcher in computer vision and intelligent assistive systems, with a primary focus on environmental perception for home rehabilitation. Her work addresses the critical challenge of enabling robust object detection in unstructured, real-world indoor environments—a key enabler for assistive robotics and smart home technologies. Dr. Ma’s most cited paper, "A lightweight model for indoor object detection in unstructured scenes based on joint attention and prior knowledge in the context of home rehabilitation" (2026, 4 citations), introduces an innovative framework that combines joint attention mechanisms with prior knowledge to achieve efficient and accurate detection despite cluttered, dynamic settings. This contribution is particularly significant for deploying lightweight AI models on resource-constrained devices, making assistive systems more accessible in home care contexts. By tackling the gap between controlled lab environments and the messy reality of daily living spaces, Dr. Ma’s work has direct implications for improving quality of life for individuals with mobility or cognitive challenges. Her research continues to push the boundaries of practical, human-centered AI, earning recognition for its potential to transform rehabilitation technology.
Research Focus
Key Achievements
Top Papers
- 1