Herbert Wertheim College of Engineering
Jiang Lab
Led by Zhe Jiang · Computer and Information Science and Engineering
What we study
The Jiang Lab studies AI and machine learning, focusing on spatiotemporal data for applications in Earth sciences, agriculture, and health. They develop advanced AI methods and apply them to interdisciplinary problems like flood mapping and coastal forecasting.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 3
Recent papers, explained
- Post-Sketch Machine Learning for Accurate Flow-Size Estimation Across Sketch Structures
2026 · IEEE Transactions on Networking
Corrects errors in network traffic estimates using machine learning without changing existing systems.
- A Machine Learning Approach for Chlorophyll- a Estimation in Coastal Waters From Top-of-Atmosphere VIIRS Satellite Data
2026 · IEEE Transactions on Geoscience and Remote Sensing
Uses machine learning to predict chlorophyll levels directly from satellite data, skipping a complex correction step.
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- A Survey on Uncertainty Quantification Methods for Deep Learning
2025 · ACM Computing Surveys
Reviews methods to measure how confident deep learning models are in their predictions.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Zhe Jiang hasn't set up this page yet. You can also look them up in the UF directory (search “Zhe Jiang”).