# Chen-Chi Kuo

> Ph.D. University of Utah 1999

**Wikidata**: [Q102271198](https://www.wikidata.org/wiki/Q102271198)  
**Source**: https://4ort.xyz/entity/chen-chi-kuo

## Summary
Chen-Chi Kuo is a computer scientist who earned a Ph.D. in Computer Science from the University of Utah in 1999. His primary identity lies in his academic and research contributions to the field of computer science, particularly through his scholarly work and technical expertise.

## Biography
- Nationalities: Not specified  
- Education: Ph.D., University of Utah, 1999  
- Known for: Academic and research contributions in computer science  
- Employer(s): Not specified  
- Field(s): Computer Science  

## Contributions
Chen-Chi Kuo's contributions are primarily evidenced by his completion of a doctoral degree in Computer Science from the University of Utah in 1999. Specific details regarding his publications, projects, or professional roles beyond this educational milestone are not provided in the source material.

## FAQs
### What is known about Chen-Chi Kuo's education?
Chen-Chi Kuo earned his Ph.D. in Computer Science from the University of Utah in 1999. His doctoral advisor was John Bruce Carter.

### What has Chen-Chi Kuo contributed to the field of computer science?
Based on available information, his main contribution stems from his academic training and associated research during his time at the University of Utah, leading to the attainment of his Ph.D.

### Where can information about Chen-Chi Kuo be found?
Details about Chen-Chi Kuo are documented in academic databases such as the ACM Digital Library (Author ID: 81100455819) and the Mathematics Genealogy Project (ID: 87161).

## Why They Matter
While specific details of his individual contributions are limited in the source material, Chen-Chi Kuo's attainment of a Ph.D. in Computer Science places him within an elite group of professionals trained at the highest level of academic rigor. His educational background from the University of Utah indicates a foundational role in contributing to advanced research and development in computing fields, although the exact nature of his work's impact remains unspecified in the current data.

## Notable For
- Earning a Ph.D. in Computer Science from the University of Utah in 1999
- Being advised by John Bruce Carter during his doctoral studies
- Association with formal academic recognition via ACM Digital Library and Mathematics Genealogy Project

## Body

### Career
Chen-Chi Kuo completed his Ph.D. in Computer Science at the University of Utah in 1999. This achievement marks his formal entry into the discipline of theoretical and applied computer science, under the guidance of his doctoral advisor, John Bruce Carter.

### Education
- **Degree**: Doctor of Philosophy (Ph.D.)  
- **Field**: Computer Science  
- **Institution**: University of Utah  
- **Year of Completion**: 1999  

### Academic Recognition
Chen-Chi Kuo is recognized in academic and digital libraries through identifiers:
- **ACM Digital Library Author ID**: 81100455819
- **Mathematics Genealogy Project ID**: 87161

These identifiers link him to formal academic and professional networks, indicating a structured presence in the global community of computer science scholars.

### Influence
Though specific professional or research outcomes are not detailed in the source material, his academic credentials suggest that he is positioned to contribute meaningfully to computational theory, systems design, or applied research within the field. As a trained computer scientist, his work would align with core principles of computation and system design, consistent with the broader role of computer scientists in advancing technological and theoretical understanding.

### Legacy
Given the constraints of available information, Chen-Chi Kuo’s legacy currently rests in his academic foundation and potential future contributions to the field. As part of the larger class of professionals trained in the theoretical and practical domains of computer science, individuals like Kuo form a critical mass in driving innovation and research in academia and industry alike.

## References

1. Mathematics Genealogy Project