Papers

2

Total Citations

29

H-Index

2

About

Shiyu Niu is a pioneering researcher at the intersection of environmental virology, robotics, and artificial intelligence, whose work is transforming public health surveillance. Her primary research areas include wastewater-based epidemiology (WBE), automated robotic systems for pathogen detection, and AI-driven outbreak prediction. Niu’s most significant contribution is the development of an automated robot for sewage virus enrichment and concentration, a breakthrough that enables real-time, proactive tracking of infectious diseases. Her landmark 2024 study on mpox—published during the largest-ever recorded outbreak—demonstrated how this robot, coupled with AI, can predict outbreaks with unprecedented speed and accuracy, garnering 20 citations in its first year. Earlier, in 2023, she validated the efficacy of her robotic system for tracking SARS-CoV-2 transmission in the post-epidemic era, even under China’s strict containment policies, earning 9 citations. Niu’s work bridges engineering and epidemiology, offering a scalable, cost-effective tool for global health security. Her innovations have been recognized for their potential to revolutionize pandemic preparedness, making her a rising leader in the field of environmental health surveillance.

Research Focus

Key Achievements

2
H-Index
2
Papers
29
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Automated robot and artificial intelligence-powered wastewater surveillance for proactive mpox outbreak prediction
20 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Southern University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago