# Stefan Wild

> Dr.-Ing. Technische Universität Chemnitz 2016

**Wikidata**: [Q102752182](https://www.wikidata.org/wiki/Q102752182)  
**Source**: https://4ort.xyz/entity/stefan-wild-q102752182

## Summary
Stefan Wild is a German computer scientist who earned his Dr.-Ing. (Doctor of Engineering) from Chemnitz University of Technology in 2016. He is known for his work in computer science, particularly under the supervision of Martin Gaedke. His academic background and contributions position him as a researcher in the industrial and service sectors.

## Biography
- Born: [Not specified]
- Nationality: German
- Education: Dr.-Ing. in Computer Science, Chemnitz University of Technology (2016)
- Known for: Research in computer science, supervised by Martin Gaedke
- Employer(s): [Not specified]
- Field(s): Computer science

## Contributions
Stefan Wild's academic work is centered around computer science, with a focus on the industrial and service sectors. His doctoral research was supervised by Martin Gaedke, a fellow computer scientist with a Ph.D. from the Karlsruhe Institute of Technology (KIT) in 2000. While specific contributions or publications are not detailed in the provided material, his academic achievements and mentorship by Gaedke suggest a career in research and development within the field. His work likely aligns with broader trends in industrial and service-sector computing, though exact projects or impact are not specified.

## FAQs
### Q: What is Stefan Wild's educational background?
A: Stefan Wild earned his Dr.-Ing. in Computer Science from Chemnitz University of Technology in 2016.

### Q: Who was Stefan Wild's doctoral advisor?
A: Martin Gaedke, a computer scientist with a Ph.D. from the Karlsruhe Institute of Technology (KIT) in 2000, supervised Stefan Wild's doctoral research.

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

## Why They Matter
Stefan Wild's contributions to computer science, particularly under the mentorship of Martin Gaedke, reflect the broader advancements in industrial and service-sector computing. His work likely supports technological innovations and research in areas such as software development, systems engineering, or data-driven services. While specific impact is not detailed, his academic achievements position him as a researcher with potential influence in shaping future developments in the field. His collaboration with Gaedke, a respected figure in computer science, underscores his role in advancing knowledge and applications within the discipline.

## Notable For
- Earned a Dr.-Ing. in Computer Science from Chemnitz University of Technology in 2016.
- Supervised by Martin Gaedke, a leading computer scientist with a Ph.D. from KIT in 2000.
- Focused on research in the industrial and service sectors.

## Body
### Education and Mentorship
Stefan Wild completed his doctoral studies in Computer Science at Chemnitz University of Technology, earning his Dr.-Ing. in 2016. His research was supervised by Martin Gaedke, a prominent figure in the field with his own Ph.D. from the Karlsruhe Institute of Technology (KIT) in 2000. Gaedke's expertise and mentorship likely provided Stefan Wild with a strong foundation in industrial and service-sector computing.

### Field of Study
Stefan Wild's work is rooted in computer science, with a particular emphasis on applications in the industrial and service sectors. His research aligns with broader trends in technological innovation, software development, and systems engineering, though specific contributions are not detailed in the available material.

### Academic Influence
As a doctoral student under Martin Gaedke, Stefan Wild's work contributes to the academic and research community in computer science. His mentorship by Gaedke, a well-regarded researcher, suggests a career path focused on advancing knowledge and applications within the field. While his exact impact is not specified, his academic achievements position him as a researcher with potential influence in shaping future developments in industrial and service-sector computing.

## References

1. Mathematics Genealogy Project