معرفی
Paul Boniol is a researcher at Inria, affiliated with the VALDA project-team—a collaboration between Inria Paris, École Normale Supérieure, and CNRS. His work focuses on time series analytics, anomaly detection, and machine learning applications.
- Ph.D. in Computer Science and Applied Mathematics (University of Paris, EDF R&D)
- Visiting Ph.D. at University of Chicago
- Education: Grenoble INP ENSIMAG Engineering School
Research interests span:
- Unsupervised anomaly detection in large time series
- Time series management systems
- Machine learning for predictive maintenance
- Graph-based time series analysis
- Explainable AI for temporal data
Recent publications emphasize advancements in:
- Weakly supervised anomaly localization
- Graph embedding techniques
- Model selection frameworks
- Interactive visualization tools
- Smart meter data analysis
Scientific recognition:
- Paul Caseau Thesis Prize 2022
- Lambdamu Congress Research-Industry Prize 2022
- BDA & INFORSID Ph.D. Prizes 2022
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