# Daniel Delling

> Dr. rer. nat. Karlsruher Institut für Technologie (KIT) 2009

**Wikidata**: [Q102369022](https://www.wikidata.org/wiki/Q102369022)  
**Source**: https://4ort.xyz/entity/daniel-delling

## Summary
Daniel Delling is a German computer scientist who earned his doctoral degree (Dr. rer. nat.) from the Karlsruhe Institute of Technology (KIT) in 2009. He is known for his work in computer science, with a notable academic connection to Dorothea Wagner, a fellow German computer scientist and university teacher.

## Biography
- Born: [Not specified]
- Nationality: Germany
- Education: Dr. rer. nat. from Karlsruher Institut für Technologie (KIT), 2009
- Known for: Contributions to computer science, including research under the supervision of Dorothea Wagner
- Employer(s): [Not specified]
- Field(s): Computer science

## Contributions
Daniel Delling's academic work is documented through his doctoral studies at KIT, where he was advised by Dorothea Wagner. His research aligns with the broader field of computer science, though specific publications or projects are not detailed in the provided source material. His work reflects the interdisciplinary nature of computer science, potentially contributing to areas such as algorithms, software engineering, or theoretical computer science.

## FAQs
### Q: What is Daniel Delling's educational background?
A: Daniel Delling earned his doctoral degree (Dr. rer. nat.) from Karlsruher Institut für Technologie (KIT) in 2009.

### Q: Who was Daniel Delling's doctoral advisor?
A: Daniel Delling's doctoral advisor was Dorothea Wagner, a German computer scientist and university teacher.

### Q: What field does Daniel Delling work in?
A: Daniel Delling is a computer scientist, specializing in the industrial and service sectors.

### Q: Are there any notable publications or projects by Daniel Delling?
A: The provided source material does not specify any notable publications or projects by Daniel Delling.

### Q: What is Daniel Delling's nationality?
A: Daniel Delling is a German national.

## Why They Matter
Daniel Delling's contributions to computer science, though not extensively detailed in the available sources, reflect the broader impact of academic research in advancing technological solutions. His work under Dorothea Wagner's guidance likely contributed to the development of theoretical or applied computer science knowledge, which may have influenced subsequent research or industry applications. While his specific achievements are not highlighted, his academic training at KIT positions him as a scholar in the field, potentially shaping future developments in computer science.

## Notable For
- Earned a doctoral degree in computer science from KIT in 2009.
- Supervised by Dorothea Wagner, a prominent German computer scientist.
- Active in the industrial and service sectors of computer science.

## Body
### Education
Daniel Delling completed his doctoral studies at the Karlsruhe Institute of Technology (KIT) in 2009, earning the degree of Dr. rer. nat. His research was conducted under the supervision of Dorothea Wagner, a respected figure in German computer science.

### Academic Influence
While specific publications or projects are not detailed in the source material, Daniel Delling's work aligns with the broader field of computer science, potentially contributing to areas such as algorithms, software engineering, or theoretical computer science. His academic training at KIT positions him as a scholar in the field, with a focus on the industrial and service sectors.

### Professional Connections
Daniel Delling's academic relationship with Dorothea Wagner highlights his engagement with leading figures in German computer science. This connection may have provided him with mentorship and access to research networks, furthering his contributions to the field.

### Field of Study
As a computer scientist, Daniel Delling's work is likely focused on solving computational problems, developing software solutions, or advancing theoretical foundations in computer science. His research may have applications in industry or service sectors, reflecting the interdisciplinary nature of the field.

## References

1. Mathematics Genealogy Project