# Charles Bouveyron

> Ph.D. Université Joseph Fourier Grenoble I 2006

**Wikidata**: [Q102436246](https://www.wikidata.org/wiki/Q102436246)  
**Source**: https://4ort.xyz/entity/charles-bouveyron

## Summary
Charles Bouveyron is a French university teacher and researcher born in 1979. He specializes in artificial intelligence and applied statistics. He is known for his academic work at Joseph Fourier University, where he earned his Ph.D. in 2006 under the supervision of computer vision researcher Cordelia Schmid.

## Biography
- **Born:** 1979
- **Languages:** English, French
- **Education:** Ph.D., Université Joseph Fourier Grenoble I (2006)
- **Known for:** Research in artificial intelligence and applied statistics
- **Occupation:** University teacher
- **Field(s):** Artificial intelligence, Applied statistics
- **Academic Advisors:** Stéphane Girard, Cordelia Schmid
- **Doctoral Students:** Pierre-Alexandre Mattei

## Contributions
Charles Bouveyron has contributed to the academic community primarily through his research and teaching in the fields of artificial intelligence and applied statistics. His career is marked by a rigorous academic lineage and mentorship within the French higher education system.

In 2006, Bouveyron completed his Ph.D. at Université Joseph Fourier Grenoble I. His doctoral research was supervised by Stéphane Girard and Cordelia Schmid, a prominent computer vision researcher. This period established his expertise in developing and studying intelligent software models.

As a university teacher, Bouveyron has educated students in complex computational fields. He has also supervised the next generation of researchers, including doctoral student Pierre-Alexandre Mattei. His work relies heavily on applied statistics to drive advancements in artificial intelligence models.

## FAQs

### Q: What is Charles Bouveyron's educational background?
A: Charles Bouveyron earned his Ph.D. from Université Joseph Fourier Grenoble I in 2006.

### Q: Who were Charles Bouveyron's doctoral advisors?
A: His doctoral advisors were Stéphane Girard and Cordelia Schmid, a noted researcher in computer vision.

### Q: What are Charles Bouveyron's primary research fields?
A: His primary fields of work are artificial intelligence and applied statistics.

## Why They Matter
Charles Bouveyron represents a vital link in the chain of academic research within the European artificial intelligence and statistics communities. By working at the intersection of applied statistics and AI, he contributes to the methodological foundations necessary for developing intelligent systems. His association with Université Joseph Fourier—a major French institution for higher education—places him within a significant hub of scientific innovation.

Furthermore, his role as a doctoral advisor to students like Pierre-Alexandre Mattei demonstrates his impact on the continuity of research. Through his teaching and mentorship, he facilitates the transfer of specialized knowledge in neural networks and intelligent behavior to new generations of scientists, ensuring the continued development of these critical technologies.

## Notable For
- **Subject Matter Expert:** Specializes in the intersection of artificial intelligence and applied statistics.
- **Academic Lineage:** Advised by Cordelia Schmid, a leading figure in computer vision.
- **Institutional Ties:** Affiliated with Université Joseph Fourier (1987–2016), a major French university.
- **Educator:** Serves as a university teacher, contributing to higher education in computer science.

## Body

### Academic Background
Charles Bouveyron was born in 1979. He pursued his higher education in France at the Université Joseph Fourier Grenoble I. In 2006, he successfully defended his Ph.D. thesis. His academic training is rooted in a strict scientific environment, evidenced by his multiple identifiers in academic databases such as the Mathematics Genealogy Project (ID: 195922) and the CNRS's IDRef (ID: 112244785).

### Research and Professional Focus
Bouveyron is identified as a university teacher and researcher. His professional focus lies in two interconnected domains:
*   **Artificial Intelligence:** The development of software and models enabling machines to exhibit intelligent behavior.
*   **Applied Statistics:** The utilization of statistical methods to solve practical problems, likely in conjunction with AI models.

He is fluent in both English and French, facilitating his participation in the international scientific community.

### Academic Network
Bouveyron's work is defined by strong collaborative and mentorship relationships:
*   **Advisors:** He completed his doctorate under the guidance of Stéphane Girard and Cordelia Schmid. Schmid is particularly noted for her extensive work in computer vision.
*   **Mentorship:** He has served as a doctoral advisor to Pierre-Alexandre Mattei, contributing to the academic growth of subsequent researchers.

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## References

1. Czech National Authority Database
2. Mathematics Genealogy Project
3. [Source](https://www.theses.fr/2006GRE10090)
4. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz)