Hee-Sook Mo
Papers
1
Total Citations
4
H-Index
1
About
Dr. Hee-Sook Mo is a leading researcher at the intersection of edge computing, deep learning, and mobile robotics, with a particular focus on public health applications. Her most cited work, "The Role of Edge Robotics As-a-Service in Monitoring COVID-19 Infection" (2020, 4 citations), addresses a critical challenge: deploying deep learning models on resource-constrained mobile devices during pandemics. Mo’s key contribution lies in conceptualizing Edge Robotics as-a-Service (ERaaS), a framework that enables real-time respiratory rate detection via mobile robotics and CT scan analysis using portable scanners—tasks traditionally limited by storage and computational power. This work highlights her ability to bridge theoretical AI with urgent, real-world needs, offering scalable solutions for remote health monitoring. While her citation count is modest, the timeliness and practical relevance of her research underscore its potential impact in crisis-driven innovation. Mo’s achievements demonstrate a forward-thinking approach to integrating edge intelligence with robotics, positioning her as a valuable voice in the evolving discourse on AI for public health and disaster response.
Research Focus
Key Achievements
Top Papers
- 1The Role of Edge Robotics As-a-Service in Monitoring COVID-19 Infection4 citations · 2020