Papers
1
Total Citations
20
H-Index
1
About
Jiaqi Feng is a pioneering researcher at the intersection of environmental virology and artificial intelligence, whose work is revolutionizing public health surveillance. His primary research areas include wastewater-based epidemiology, automated robotic systems, and AI-driven outbreak prediction. Feng’s most impactful contribution is the development of an automated online sewage virus enrichment and concentration robot, which, when integrated with artificial intelligence, enables proactive tracking of infectious diseases like mpox. This innovative system, detailed in his 2024 paper (20 citations), was designed in response to the largest-ever recorded mpox outbreak since May 2022, offering a scalable, real-time alternative to traditional clinical surveillance. By combining robotics with machine learning, Feng’s work allows for early detection of viral pathogens in wastewater, potentially predicting outbreaks before they escalate. His approach not only enhances the speed and accuracy of disease monitoring but also reduces reliance on manual sampling, making it a critical tool for pandemic preparedness. With a growing citation impact and a focus on translating cutting-edge technology into practical public health solutions, Jiaqi Feng is a rising leader in the field of environmental health engineering.
Research Focus
Key Achievements
Top Papers
- 1