Herbert Wertheim College of Engineering
Chen Lab
Led by Shigang Chen · Computer and Information Science and Engineering
What we study
The Chen Lab studies network security, cloud computing, and data streaming. They use computational methods to analyze large datasets and develop secure systems.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 4
Recent papers, explained
- Post-Sketch Machine Learning for Accurate Flow-Size Estimation Across Sketch Structures
2026 · IEEE Transactions on Networking
Uses machine learning to fix errors in network traffic estimates.
- Multi-Information Sampling and Mixed Estimation for Multi-Task Spread Measurement With Supercube
2025 · IEEE Transactions on Networking
Proposes a method to measure spread of different network flows using a single compressed data structure.
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- Adaptive Denoising for Network Traffic Measurement
2025 · IEEE Transactions on Network Science and Engineering
Improves accuracy of network traffic measurements with denoising.
- FuseMeter: An efficient framework for generic per-flow traffic measurement
2025 · Information Fusion
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Shigang Chen hasn't set up this page yet. You can also look them up in the UF directory (search “Shigang Chen”).