Herbert Wertheim College of Engineering
Principe Lab
Led by José Principe · Electrical and Computer Engineering
What we study
The Principe Lab studies adaptive systems and learning theory, focusing on developing algorithms and models for signal processing and machine learning. Their work involves computational approaches to analyze and improve adaptive systems.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Transregional Neural Prostheses: Applications and Computational Tools
2026 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Explores computational tools for transregional neural prostheses to restore communication.
- A closed-form solution for kernel adaptive filtering
2026 · Signal Processing
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- Online filtering in kernel adaptive principal subspace
2026 · Signal Processing
- The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series Data and Sequential Decision Making
2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
Develops a way to compare conditional distributions in time-series data more accurately.
- Improved PCA Reconstruction-Based Unsupervised Anomaly Detection in Uncontrolled Structural Health Monitoring With Correntropy
2025 · IEEE Transactions on Industrial Informatics
Proposes a new method to detect anomalies in industrial systems without needing pre-labeled data.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
José Principe hasn't set up this page yet. You can also look them up in the UF directory (search “José Principe”).