# Yongxing Wang

> Ph.D. 2018

**Wikidata**: [Q102997008](https://www.wikidata.org/wiki/Q102997008)  
**Source**: https://4ort.xyz/entity/yongxing-wang

## Summary
Yongxing Wang is a computer scientist and researcher who earned his Ph.D. from the University of Leeds in 2018. He is primarily known for his role as a research fellow at the University of Leeds, where he has been employed since June 2018. His work contributes to advancements in computer science, guided by his doctoral advisors, Peter K. Jimack and Mark Andrew Walkley.

## Biography
- **Born**: [Date and place unknown]  
- **Nationality**: [Unknown]  
- **Education**: Ph.D. in computer science, University of Leeds (2018)  
- **Known for**: Research in computer science; academic contributions as a research fellow  
- **Employer(s)**: University of Leeds (research fellow, 2018–present)  
- **Field(s)**: Computer science  

## Contributions
Yongxing Wang’s academic career is marked by his Ph.D. completion at the University of Leeds in 2018, where he specialized in computer science under the supervision of Peter K. Jimack and Mark Andrew Walkley. Since June 2018, he has held the position of research fellow at the same institution, contributing to academic research in the field. While specific publications or projects are not detailed in the source material, his role as a researcher underscores his involvement in advancing computer science through institutional collaboration. His work aligns with the academic mission of the University of Leeds, a key institution in fostering technological and scientific innovation.

## FAQs
### Q: Where did Yongxing Wang earn his Ph.D.?  
A: Yongxing Wang completed his Ph.D. at the University of Leeds in 2018.  

### Q: What is Yongxing Wang’s current role?  
A: He has been a research fellow at the University of Leeds since June 2018.  

### Q: Who supervised his doctoral research?  
A: His doctoral advisors were Peter K. Jimack and Mark Andrew Walkley.  

## Why They Matter  
Yongxing Wang’s contributions to computer science are rooted in his academic research and his role as a research fellow at the University of Leeds. As a scholar trained under experienced advisors, his work supports the development of computer science through institutional research. While specific breakthroughs or innovations are not enumerated in available data, his position reflects a commitment to advancing knowledge in the field, potentially influencing both academic discourse and practical applications. His affiliation with the University of Leeds, a recognized hub for research, further amplifies the reach of his contributions.

## Notable For  
- Completed a Ph.D. in computer science at the University of Leeds (2018).  
- Served as a research fellow at the University of Leeds since June 2018.  
- Advised by prominent computer scientists Peter K. Jimack and Mark Andrew Walkley.  
- Profiled in the Mathematics Genealogy Project (ID: 239059).  

## Body  
### Academic Career  
Yongxing Wang’s academic trajectory culminated in a Ph.D. in computer science from the University of Leeds, awarded in 2018. His doctoral research was supervised by Peter K. Jimack and Mark Andrew Walkley, both established figures in the field.  

### Professional Affiliation  
Since June 2018, Wang has been employed as a research fellow at the University of Leeds. This role positions him as an active contributor to institutional research initiatives in computer science.  

### Research Focus  
While specific research themes or publications are not detailed in the source material, Wang’s academic and professional roles indicate a focus on advancing computer science through scholarly inquiry and collaboration.  

### Institutional Impact  
As a research fellow at the University of Leeds, Wang participates in the university’s broader mission to drive innovation and knowledge creation in computer science, reflecting the institution’s reputation for academic excellence.

## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-5673-042X/employment/9301315)
2. Mathematics Genealogy Project