Haibin Shen

Zhejiang University, Zhejiang Province Institute of Architectural Design and Research

Papers

Total Citations

H-Index

About

Haibin Shen’s research bridges public health surveillance and human-robot interaction, with a focus on leveraging computational methods for societal benefit. His most cited work, “Notifiable infectious disease surveillance with data collected by search engine” (2010, 32 citations), pioneered the use of internet search data to track disease outbreaks in China—a critical innovation given the country’s annual toll of five million illnesses and twelve thousand deaths from notifiable diseases. By demonstrating that search engine trends could enable early detection and rapid response, Shen contributed to a paradigm shift in digital epidemiology. In parallel, his work on “Real-time SVM-based emotion recognition algorithm” (2017, 5 citations) addresses the growing need for empathetic healthcare robots in aging populations. By developing support vector machine models capable of interpreting human emotions in real time, Shen advanced the design of assistive technologies that respond not just to commands but to emotional states. Though his citation counts remain modest, the interdisciplinary nature of his research—spanning infectious disease control and affective computing—highlights a commitment to solving real-world health challenges through data-driven innovation.