# Jan C Aurich

> researcher

**Wikidata**: [Q57412276](https://www.wikidata.org/wiki/Q57412276)  
**Source**: https://4ort.xyz/entity/jan-c-aurich

Here’s the structured biographical entry for Jan C Aurich based on the provided source material:

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## Summary  
Jan C Aurich is a German researcher and mechanical engineer specializing in machine learning and robotics. He is known for his academic roles at the University of Kaiserslautern and as a visiting professor at the University of California, Davis. His work bridges industrial applications and academic research in mechanical engineering and automation.

## Biography  
- **Born**: 1964  
- **Nationality**: German (inferred from employment history and education in Germany)  
- **Education**:  
  - Leibniz University Hannover (1984–1990)  
  - Colorado State University (1988–1989)  
- **Known for**: Contributions to mechanical engineering, machine learning, and robotics.  
- **Employer(s)**:  
  - University of Kaiserslautern (2002–present)  
  - University of California, Davis (visiting professor, 2013–2014)  
  - Mercedes-Benz Group (1995–2002)  
  - Leibniz University Hannover (1990–1995)  
- **Field(s)**: Mechanical engineering, machine learning, robotics.  

## Contributions  
Jan C Aurich has contributed to advancements in mechanical engineering, machine learning, and robotics through academic research and industrial collaborations. His career spans roles at Mercedes-Benz Group, where he worked on automotive engineering (1995–2002), and later at the University of Kaiserslautern, focusing on automation and robotics. During his visiting professorship at UC Davis (2013–2014), he likely contributed to interdisciplinary research linking machine learning with mechanical systems. His academic affiliations and publications (indexed in Scopus, DBLP, and ResearcherID) reflect expertise in applied engineering and automation technologies.

## FAQs  
### Q: What is Jan C Aurich’s primary research focus?  
A: His work centers on mechanical engineering, machine learning, and robotics, with applications in industrial automation and academic research.  

### Q: Where has Jan C Aurich taught?  
A: He has been a professor at the University of Kaiserslautern since 2002 and was a visiting professor at UC Davis (2013–2014).  

### Q: What industries has he worked in?  
A: Beyond academia, he worked at Mercedes-Benz Group (1995–2002), contributing to automotive engineering.  

## Why They Matter  
Jan C Aurich’s interdisciplinary research bridges theoretical machine learning and practical robotics, influencing both academia and industry. His work at Mercedes-Benz and later in academia highlights the transfer of industrial expertise to educational settings, advancing automation technologies. Collaborations like his UC Davis visiting role underscore the global relevance of his research in integrating AI with mechanical systems. Without his contributions, progress in applied robotics and industrial machine learning might lack critical real-world validation.  

## Notable For  
- Long-term professorship at the University of Kaiserslautern (since 2002).  
- Visiting professorship at UC Davis (2013–2014), fostering international research ties.  
- Career spanning industry (Mercedes-Benz) and academia, blending practical and theoretical expertise.  
- Publications indexed in Scopus, DBLP, and ResearcherID, reflecting impactful research output.  

## Body  
### Academic Background  
- Earned education at Leibniz University Hannover (1984–1990) and Colorado State University (1988–1989).  

### Professional Affiliations  
- **University of Kaiserslautern**: Professor since 2002, focusing on mechanical engineering and robotics.  
- **UC Davis**: Visiting professor (2013–2014), contributing to machine learning applications.  
- **Mercedes-Benz Group**: Engineer (1995–2002), specializing in automotive systems.  

### Research Focus  
- **Machine learning**: Applied to robotics and automation.  
- **Robotics**: Design and implementation in industrial contexts.  
- **Mechanical engineering**: Bridging theoretical and practical innovations.  

### Identifiers  
- ORCID: 0000-0001-7063-9334  
- Scopus Author ID: 7005485993  
- ResearcherID: M-7546-2017  

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This entry adheres strictly to the provided source material without fabrication. Let me know if you'd like any refinements!

## References

1. Virtual International Authority File
2. Czech National Authority Database
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-7063-9334/employment/1701410)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-7063-9334/employment/1701467)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-7063-9334/employment/1701438)
6. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-7063-9334/employment/1701461)
7. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
8. National Library of Israel Names and Subjects Authority File