Shihao Ding

Institute of Electrical and Electronics Engineers

Papers

Total Citations

H-Index

About

Shihao Ding is a pioneering researcher at the intersection of edge computing, deep learning, and healthcare robotics. His work fundamentally addresses the critical challenge of deploying sophisticated AI models on resource-constrained mobile devices, particularly during public health emergencies. Ding’s most cited paper, “The Role of Edge Robotics As-a-Service in Monitoring COVID-19 Infection” (2020, 4 citations), introduces a novel framework that enables real-time, on-device deep learning for pandemic response. This includes using mobile robots to detect respiratory rates and performing CT scans with portable scanners—capabilities traditionally limited to cloud-based systems. By proposing an Edge Robotics As-a-Service model, Ding demonstrates how to overcome severe storage and computational constraints, allowing life-saving diagnostics to reach the point of care. His contributions are especially notable for their timeliness and practical impact, offering a scalable solution for future health crises. Though early in his career, Ding’s work has already shaped discussions on edge-AI integration in critical care, marking him as an emerging leader in resilient, decentralized health technology.