Jeungeun Song

University of Science and Technology, Huazhong University of Science and Technology

Papers

Total Citations

131

H-Index

About

Jeongeun Song is a leading researcher at the intersection of healthcare, cloud computing, and affective robotics. Her work primarily focuses on Software Defined Healthcare Networks (SDHN), where she pioneers the integration of wearable technology, smart clothing, and cloud-assisted robotics to address the critical challenges of an aging population. Song’s most influential contribution, the 2015 paper “Software defined healthcare networks,” has garnered 125 citations, establishing a foundational framework for real-time, efficient health management systems within the Internet of Things (HealthIoT). She further explores human-machine emotional interaction through her research on “Cloud-assisted hugtive robot for affective interaction” and “Emotion Communications Driven by Big Data Cloud, Smart Clothing and Robotics,” envisioning a future where multi-networked machines upload human and environmental signals to the cloud for intelligent processing. By combining big data analytics with empathetic robotics, Song’s work advances the development of responsive, emotionally-aware care systems. Her research is pivotal for students and engineers seeking to build scalable, cloud-driven solutions that enhance quality of life through seamless, intelligent human-robot collaboration.