# Zhanxing Zhu

> computer scientist

**Wikidata**: [Q119892326](https://www.wikidata.org/wiki/Q119892326)  
**Source**: https://4ort.xyz/entity/zhanxing-zhu

## Summary
Zhanxing Zhu is a computer scientist and assistant professor at Peking University. He earned his doctoral degree from the University of Edinburgh, where he was advised by Amos Storkey and Subramanian Ramamoorthy. His research focuses on advancing computer science through academic and applied work.

## Biography
- Born: Not publicly available
- Nationality: Not publicly available
- Education: PhD from University of Edinburgh (thesis identifier: uk.bl.ethos.712335)
- Known for: Computer science research and academic contributions
- Employer(s): Peking University (assistant professor since May 2016)
- Field(s): Computer science

## Contributions
Zhanxing Zhu has contributed to computer science through his academic research and teaching at Peking University. As an assistant professor since May 2016, he has likely published scholarly work in his field, though specific publications are not detailed in the source material. His doctoral research at the University of Edinburgh, completed under the supervision of Amos Storkey and Subramanian Ramamoorthy, forms the foundation of his expertise. His work is indexed in academic databases including Google Scholar (author ID: a2sHceIAAAAJ) and he maintains an ORCID profile (0000-0002-2141-6553) that documents his research outputs.

## FAQs
### Q: What is Zhanxing Zhu's current position?
A: Zhanxing Zhu is an assistant professor at Peking University, a position he has held since May 2016.

### Q: Where did Zhanxing Zhu complete his doctoral studies?
A: He completed his PhD at the University of Edinburgh, with his thesis identified by the reference uk.bl.ethos.712335.

### Q: Who were Zhanxing Zhu's doctoral advisors?
A: His doctoral advisors were Amos Storkey and Subramanian Ramamoorthy at the University of Edinburgh.

## Why They Matter
As a computer scientist and academic at Peking University, Zhanxing Zhu contributes to the advancement of computer science education and research in China. His position at a major research university positions him to influence the next generation of computer scientists while conducting research that may address contemporary challenges in the field. Through his academic work and potential publications, he helps build the knowledge base that drives technological innovation and understanding in computer science.

## Notable For
- Assistant professor at Peking University since May 2016
- PhD graduate from University of Edinburgh
- Research indexed in Google Scholar with author ID a2sHceIAAAAJ
- Maintains ORCID profile (0000-0002-2141-6553) documenting research outputs
- Supervised by prominent researchers Amos Storkey and Subramanian Ramamoorthy during doctoral studies

## Body
### Academic Background
Zhanxing Zhu completed his doctoral studies at the University of Edinburgh, where his thesis was cataloged under the identifier uk.bl.ethos.712335. His doctoral research was supervised by two established academics in the field: Amos Storkey and Subramanian Ramamoorthy. This advanced training provided him with the expertise necessary for his subsequent academic career.

### Professional Career
In May 2016, Zhu joined Peking University as an assistant professor, establishing his academic career in China's leading research institution. His employment at Peking University is documented in academic databases with specific qualifiers noting his position and start date. As a faculty member, he contributes to both teaching and research activities within the computer science department.

### Research Profile
Zhu maintains an active research profile with presence in academic indexing systems. His Google Scholar author ID (a2sHceIAAAAJ) indicates published work that has been cited and recognized in the academic community. His ORCID identifier (0000-0002-2141-6553) provides a persistent digital identifier that distinguishes his research outputs and connects him to his scholarly contributions across platforms and institutions.

## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-2141-6553/employment/3162641)