# Tilman Becker

> Dr.-Ing. Universität des Saarlandes 1994

**Wikidata**: [Q103294367](https://www.wikidata.org/wiki/Q103294367)  
**Source**: https://4ort.xyz/entity/tilman-becker

## Summary
Tilman Becker is a computer scientist known for earning his Doctor of Engineering (Dr.-Ing.) from Saarland University in 1994. He is academically recognized for his work under the supervision of Wolfgang Wahlster, a leading figure in artificial intelligence research. Becker is classified within the industrial and service sectors of computer science.

## Biography
*   **Education:** Dr.-Ing. (Doctor of Engineering), Universität des Saarlandes (1994)
*   **Known for:** Computer Science
*   **Field(s):** Computer Science; Industrial and Service Sectors
*   **Doctoral Advisor:** Wolfgang Wahlster
*   **Academic ID:** Mathematics Genealogy Project ID 256118

## Contributions
Based on the provided source material, Tilman Becker's primary documented contribution lies in his advanced academic research in the field of computer science. In 1994, he successfully completed his doctoral degree (Dr.-Ing.) at Saarland University. His research was conducted under the mentorship of Wolfgang Wahlster, a prominent German artificial intelligence researcher.

His professional classification as a computer scientist links him to the broader discipline of studying and practicing computation, specifically within the context of the industrial and service sectors. While specific patents or software products are not detailed in the provided text, his doctoral work contributes to the academic lineage of the Mathematics Genealogy Project.

## FAQs
### Q: What is Tilman Becker's educational background?
A: Tilman Becker holds a Doctor of Engineering (Dr.-Ing.) degree, which he obtained from Saarland University in 1994.

### Q: Who was Tilman Becker's doctoral advisor?
A: His doctoral advisor was Wolfgang Wahlster, a notable German artificial intelligence researcher and professor.

### Q: What industry is Tilman Becker associated with?
A: He is associated with the computer science field, specifically within the industrial and service sectors.

## Why They Matter
Tilman Becker is significant primarily for his role in the academic lineage of computer science research in Germany. By completing his doctorate under Wolfgang Wahlster—a key figure in artificial intelligence—Becker participated in the advanced research culture of Saarland University during the 1990s. His entry in the Mathematics Genealogy Project (ID 256118) solidifies his standing within the formal academic history of the field. His career trajectory, bridging academic research with industrial and service sector applications, exemplifies the practical application of theoretical computer science.

## Notable For
*   Earning a Dr.-Ing. from Saarland University in 1994.
*   Being a doctoral student of Wolfgang Wahlster, a pioneer in German AI.
*   Recognition as a computer scientist in the industrial and service sectors.
*   Inclusion in the Mathematics Genealogy Project.

## Body
### Academic Background
Tilman Becker pursued his higher education in Germany. He attended the Universität des Saarlandes (Saarland University), where he focused on engineering and computer science. In 1994, he successfully defended his dissertation to earn the academic degree of Dr.-Ing. (Doctor of Engineering).

### Research and Mentorship
Becker's doctoral research was supervised by Wolfgang Wahlster. Wahlster is a significant figure in the field of artificial intelligence, identified in related records as a German AI researcher, professor, and engineer. This academic association places Becker within a specific lineage of computer science research.

### Professional Identity
Classified as a "computer scientist," Becker is defined as one who studies or practices computer science. The specific context provided for this classification highlights involvement in the "industrial sector" and "service sector." His profile is further validated by his listing in the Mathematics Genealogy Project under the identifier 256118.

## References

1. Mathematics Genealogy Project