# Jan Goedgebeur

> researcher

**Wikidata**: [Q49152776](https://www.wikidata.org/wiki/Q49152776)  
**Source**: https://4ort.xyz/entity/jan-goedgebeur

## Summary
Jan Goedgebeur is a Belgian computer scientist specializing in algorithmic graph theory. He is affiliated with Katholieke Universiteit Leuven and has contributed to research in graph algorithms, particularly under the guidance of Gunnar Brinkmann. His work focuses on theoretical and applied aspects of graph theory.

## Biography
- Nationality: Belgium
- Education: Ghent University
- Known for: Research in algorithmic graph theory
- Employer(s): Katholieke Universiteit Leuven
- Field(s): Computer science, algorithmic graph theory

## Contributions
Jan Goedgebeur has conducted research in algorithmic graph theory, contributing to the theoretical and applied aspects of graph algorithms. His work has been published in academic journals and conferences, reflecting his expertise in the field. He has also maintained an online presence through his professional website and CV, which detail his academic and research activities.

## FAQs
### Q: What is Jan Goedgebeur's primary area of research?
A: Jan Goedgebeur specializes in algorithmic graph theory, focusing on the development and analysis of graph algorithms.

### Q: Where is Jan Goedgebeur currently employed?
A: He is currently affiliated with Katholieke Universiteit Leuven.

### Q: Who was Jan Goedgebeur's doctoral advisor?
A: Jan Goedgebeur's doctoral advisor was Gunnar Brinkmann.

### Q: What academic institutions has Jan Goedgebeur been associated with?
A: Jan Goedgebeur was educated at Ghent University and is currently employed at Katholieke Universiteit Leuven.

### Q: What are some of Jan Goedgebeur's notable publications or research contributions?
A: While specific publications are not listed in the provided source material, Jan Goedgebeur's research has been published in academic journals and conferences, contributing to the field of algorithmic graph theory.

## Why They Matter
Jan Goedgebeur's contributions to algorithmic graph theory have advanced the understanding and application of graph algorithms. His research has influenced the development of theoretical and practical solutions in computer science, particularly in the area of graph theory. By specializing in this field, he has helped shape the landscape of computational problem-solving and data analysis.

## Notable For
- Specialization in algorithmic graph theory
- Research under the guidance of Gunnar Brinkmann
- Affiliation with Katholieke Universiteit Leuven
- Contributions to academic publications in graph algorithms
- Online presence through professional website and CV

## Body
### Education and Career
Jan Goedgebeur completed his education at Ghent University, where he developed a strong foundation in computer science. His doctoral work was supervised by Gunnar Brinkmann, a notable figure in the field of algorithmic graph theory. Currently, he is employed at Katholieke Universiteit Leuven, continuing his research in graph algorithms.

### Research Focus
Goedgebeur's research primarily focuses on algorithmic graph theory, a subfield of computer science that deals with the study of graph algorithms. His work includes both theoretical and applied aspects, contributing to the development of efficient and effective graph algorithms.

### Academic Contributions
While specific publications are not detailed in the provided source material, Jan Goedgebeur's research has been published in academic journals and conferences, reflecting his expertise in the field. His work has been recognized through various academic identifiers, including his DBLP author ID and Scopus author ID.

### Professional Presence
Goedgebeur maintains an active professional presence through his website and CV, which detail his academic and research activities. His online presence includes links to his publications, employment history, and other relevant information, making his work accessible to the academic community.

## References

1. [Source](https://people.cs.kuleuven.be/~jan.goedgebeur/CV_Jan_Goedgebeur.pdf)
2. Mathematics Genealogy Project
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8984-2463/employment/21101334)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-8984-2463/external-identifiers/442309)