# Andreas Reuß

> Dr. rer. nat. Technische Universität München 2013

**Wikidata**: [Q102925946](https://www.wikidata.org/wiki/Q102925946)  
**Source**: https://4ort.xyz/entity/andreas-reu

## Summary  
Andreas Reuß is a German computer scientist who earned his Dr. rer. nat. (Ph.D.) in computer science from the Technical University of Munich in 2013. He completed his doctorate under the supervision of noted computer scientist Helmut Seidl.

## Biography  
- **Born:** *not available*  
- **Nationality:** *not available*  
- **Education:** Dr. rer. nat. (Ph.D.) in Computer Science, Technical University of Munich, 2013  
- **Known for:** Completing a doctorate in computer science under Helmut Seidl at the Technical University of Munich (2013)  
- **Employer(s):** *not available*  
- **Field(s):** Computer Science  

## Contributions  
The primary documented contribution of Andreas Reuß is his doctoral research completed at the Technical University of Munich in 2013. Supervised by Helmut Seidl, a recognized figure in computer science, Reuß’s dissertation added to the scholarly record of the university’s computer‑science department. While the specific title, topics, or publications of his dissertation are not listed in the supplied data, the successful defense of a Dr. rer. nat. signifies a substantive original contribution to the field, typically involving the development of new algorithms, theoretical insights, or experimental evaluations. His inclusion in the Mathematics Genealogy Project (ID 232621) further confirms his role in the academic lineage of computer‑science research, linking him to a broader network of scholars and indicating that his work is recognized within the scholarly community.

## FAQs  
### Q: When did Andreas Reuß receive his doctorate?  
A: He earned his Dr. rer. nat. in computer science from the Technical University of Munich in 2013.  

### Q: Who supervised Andreas Reuß’s doctoral research?  
A: His doctoral advisor was Helmut Seidl, a computer scientist at the Johann Wolfgang Goethe‑Universität Frankfurt am Main.  

### Q: Is Andreas Reuß listed in any academic genealogy databases?  
A: Yes, he appears in the Mathematics Genealogy Project with the identifier 232621.  

## Why They Matter  
Andreas Reuß’s academic achievement contributes to the continuity of computer‑science research in Germany. By completing a doctorate under Helmut Seidl, he helped extend a scholarly lineage that influences both theoretical and applied aspects of the discipline. Graduates of the Technical University of Munich often become educators, researchers, or industry innovators; thus, Reuß’s work adds to the pool of expertise that fuels technological advancement. His presence in the Mathematics Genealogy Project ensures that future scholars can trace intellectual ancestry, fostering collaboration and historical awareness within the field.

## Notable For  
- Awarded a Dr. rer. nat. in Computer Science from the Technical University of Munich (2013)  
- Doctoral supervision by Helmut Seidl, a prominent computer scientist  
- Listed in the Mathematics Genealogy Project (ID 232621)  
- Recognized as a professional computer scientist in Wikidata  

## Body  

### Education and Doctorate  
- **Institution:** Technical University of Munich (TUM)  
- **Degree:** Dr. rer. nat. (Ph.D.) in Computer Science, 2013  
- **Advisor:** Helmut Seidl, noted for contributions to computer‑science theory and education  

### Academic Lineage  
- **Mathematics Genealogy Project ID:** 232621  
- The project records doctoral relationships, confirming Reuß’s place in the scholarly network descending from Seidl.  

### Professional Identity  
- **Occupation:** Computer scientist (as classified in Wikidata)  
- **Gender:** Male  

### Contextual Significance  
- Completing a doctorate at TUM, one of Germany’s leading technical universities, reflects a high level of expertise and research capability.  
- Supervision by Helmut Seidl links Reuß to a respected research tradition, potentially influencing his methodological approach and research interests.  

### Potential Areas of Impact (inferred from typical doctoral outcomes)  
- Development of novel algorithms or computational models  
- Publication of peer‑reviewed articles derived from dissertation work  
- Contribution to teaching materials or curricula within computer‑science programs  

*All information presented is derived exclusively from the supplied source material.*

## References

1. Mathematics Genealogy Project