# James H. Hays

> Ph. D. Carnegie Mellon University 2009

**Wikidata**: [Q102353627](https://www.wikidata.org/wiki/Q102353627)  
**Source**: https://4ort.xyz/entity/james-h-hays-q102353627

## Summary
James H. Hays is an American computer scientist who earned his Ph.D. from Carnegie Mellon University in 2009. He is known for his work in computer vision and machine learning, and currently serves as a professor at Georgia Tech.

## Biography
- Born: Not specified
- Nationality: American
- Education: Ph.D. in Computer Science from Carnegie Mellon University (2009)
- Known for: Computer vision research and machine learning
- Employer(s): Georgia Tech (current)
- Field(s): Computer science, computer vision, machine learning

## Contributions
James H. Hays has made significant contributions to computer vision and machine learning research. As a doctoral student at Carnegie Mellon University, he worked under the supervision of Alexei A. Efros, a prominent computer vision researcher. After completing his Ph.D. in 2009, Hays joined the faculty at Georgia Tech where he continues to conduct research and mentor students. His work has focused on areas such as image recognition, visual recognition systems, and computational photography. Through his research group at Georgia Tech, Hays has supervised doctoral students including Geoffrey Libin Sun and Geneviève Patterson, contributing to the training of the next generation of computer scientists.

## FAQs
### Q: Where did James H. Hays complete his Ph.D.?
A: James H. Hays completed his Ph.D. in Computer Science at Carnegie Mellon University in 2009.

### Q: Who was James H. Hays's doctoral advisor?
A: James H. Hays's doctoral advisor was Alexei A. Efros, a prominent computer vision researcher.

### Q: Where does James H. Hays currently work?
A: James H. Hays currently works as a professor at Georgia Tech.

## Why They Matter
James H. Hays matters in the field of computer science because he has contributed to advancing computer vision and machine learning through both his research and his mentorship of students. His work at Georgia Tech continues to influence the development of visual recognition systems and computational photography techniques. By training doctoral students who go on to contribute to the field themselves, Hays helps ensure the continuation of innovation in computer vision. His connection to both Carnegie Mellon University and Georgia Tech places him within important academic networks that drive technological advancement in visual computing.

## Notable For
- Earning Ph.D. from Carnegie Mellon University in 2009
- Serving as doctoral advisor to Geoffrey Libin Sun and Geneviève Patterson
- Conducting research in computer vision and machine learning at Georgia Tech
- Being a student of renowned computer vision researcher Alexei A. Efros
- Contributing to the advancement of visual recognition systems

## Body
### Academic Background
James H. Hays completed his doctoral studies at Carnegie Mellon University in 2009, focusing on computer science. His doctoral advisor was Alexei A. Efros, a well-known figure in computer vision research. This connection to Efros places Hays within a lineage of influential computer vision researchers.

### Research Focus
Hays's work centers on computer vision and machine learning, with applications in areas such as image recognition and computational photography. His research at Georgia Tech has contributed to the development of visual recognition systems that can interpret and analyze visual data.

### Mentorship and Academic Leadership
At Georgia Tech, Hays has supervised doctoral students including Geoffrey Libin Sun and Geneviève Patterson, both of whom completed their Ph.D.s in 2016. This mentorship role demonstrates his commitment to training the next generation of computer scientists and researchers in his field.

### Professional Recognition
Hays maintains a presence in the academic community through his Google Scholar profile (author ID: vjZrDKQAAAAJ) and his Mathematics Genealogy Project ID (137345), which tracks academic lineage in mathematics and related fields.

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## References

1. Mathematics Genealogy Project
2. [Source](https://faculty.cc.gatech.edu/~hays/)