# Kun-Chan Lan

> Ph.D. University of Southern California 2003

**Wikidata**: [Q102348783](https://www.wikidata.org/wiki/Q102348783)  
**Source**: https://4ort.xyz/entity/kun-chan-lan

## Summary  
Kun‑Chan Lan is a computer scientist who earned his Ph.D. in 2003 from the University of Southern California under the supervision of John Heidemann. He is recorded in the Mathematics Genealogy Project (ID 133272) as a scholar in the field of computer science.

## Biography  
- **Born:** –  
- **Nationality:** –  
- **Education:** Ph.D. in Computer Science, University of Southern California (2003)  
- **Known for:** Completing a doctoral dissertation in computer science under John Heidemann  
- **Employer(s):** –  
- **Field(s):** Computer science  

## Contributions  
The available source material does not list specific publications, patents, software projects, or standards authored by Kun‑Chan Lan. What is documented is his successful completion of a doctoral program at the University of Southern California in 2003, where he conducted research under the guidance of John Heidemann, a noted American computer scientist. The dissertation work, typical of a Ph.D. in computer science, would have involved original research, experimentation, and scholarly writing that contributed to the academic body of knowledge in his area of study. Although the exact title and content of his dissertation are not provided, the fact that he is indexed in the Mathematics Genealogy Project (ID 133272) confirms his role as a formally trained researcher who has contributed to the lineage of computer‑science scholarship.

## FAQs  
### Q: What degree does Kun‑Chan Lan hold?  
A: He holds a Ph.D. in computer science, awarded by the University of Southern California in 2003.  

### Q: Who supervised Kun‑Chan Lan’s doctoral research?  
A: His doctoral advisor was John Heidemann, an American computer scientist.  

### Q: Is Kun‑Chan Lan listed in any academic genealogy databases?  
A: Yes, he appears in the Mathematics Genealogy Project with the identifier 133272.  

## Why They Matter  
Kun‑Chan Lan’s academic achievement exemplifies the rigorous training that underpins advances in computer science. By completing a doctoral program under a respected mentor, he contributed to the propagation of research expertise and scholarly standards within the discipline. Graduates like Lan help sustain the pipeline of knowledgeable researchers who can mentor future students, collaborate on interdisciplinary projects, and push the boundaries of computing theory and practice. His presence in the Mathematics Genealogy Project also preserves the historical record of mentorship lineages, which is valuable for tracing the evolution of ideas and collaborations across generations of computer scientists.  

## Notable For  
- Earning a Ph.D. in computer science from the University of Southern California in 2003.  
- Being supervised by John Heidemann, a prominent figure in computer science research.  
- Inclusion in the Mathematics Genealogy Project (ID 133272), documenting his academic lineage.  

## Body  

### Education and Doctoral Research  
- **Institution:** University of Southern California (USC)  
- **Degree:** Doctor of Philosophy (Ph.D.) in Computer Science, 2003  
- **Advisor:** John Heidemann, noted for contributions to network measurement and internet architecture.  
- **Research Scope:** While the specific dissertation title is not listed, a USC Ph.D. in computer science typically involves original research, experimental validation, and a written thesis that adds to the scholarly literature.  

### Academic Lineage  
- **Doctoral Advisor:** John Heidemann – an American computer scientist with a strong record in network research.  
- **Genealogy Record:** Mathematics Genealogy Project entry (ID 133272) confirms Lan’s place in the scholarly ancestry of computer scientists, linking him to his advisor and any subsequent students he may mentor.  

### Professional Profile  
- **Occupation:** Computer scientist (as classified by Wikidata).  
- **Affiliations:** No specific employer or institutional affiliation is provided in the source material.  

### Impact and Legacy  
- **Scholarly Contribution:** Completion of a doctoral dissertation contributes new knowledge to the field, even when the precise content is not publicly detailed.  
- **Mentorship Continuity:** By training under John Heidemann, Lan is part of a mentorship chain that propagates research methods and scientific standards.  
- **Record Keeping:** His inclusion in formal databases (Wikidata, Mathematics Genealogy Project) ensures that his academic credentials are verifiable and accessible to future researchers.  

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*All information presented above is derived exclusively from the supplied source material.*

## References

1. Mathematics Genealogy Project