# Vitor R. Carvalho

> Ph.D. Carnegie Mellon University 2008

**Wikidata**: [Q102341196](https://www.wikidata.org/wiki/Q102341196)  
**Source**: https://4ort.xyz/entity/vitor-r-carvalho

## Summary
Vitor R. Carvalho is a computer scientist who earned his Ph.D. from Carnegie Mellon University in 2008. He is known for his research in artificial intelligence and machine learning. His doctoral advisor was William W. Cohen.

## Biography
- Born: Not publicly available
- Nationality: Not publicly available
- Education: Ph.D. in Computer Science, Carnegie Mellon University, 2008
- Known for: Research in artificial intelligence and machine learning
- Employer(s): Not publicly available
- Field(s): Computer Science, Artificial Intelligence, Machine Learning

## Contributions
Vitor R. Carvalho's primary contribution to the field of computer science is his doctoral research completed at Carnegie Mellon University in 2008. His work focused on artificial intelligence and machine learning, areas that have become increasingly important in modern computing. As a Ph.D. graduate from one of the world's leading computer science programs, Carvalho has contributed to the advancement of AI/ML technologies through his research and subsequent work in the field. His academic lineage includes William W. Cohen as his doctoral advisor, connecting him to a network of influential computer scientists.

## FAQs
### Q: What is Vitor R. Carvalho's educational background?
A: Vitor R. Carvalho earned his Ph.D. in Computer Science from Carnegie Mellon University in 2008.

### Q: Who was Vitor R. Carvalho's doctoral advisor?
A: William W. Cohen was Vitor R. Carvalho's doctoral advisor at Carnegie Mellon University.

### Q: What are Vitor R. Carvalho's main research areas?
A: Vitor R. Carvalho's main research areas are artificial intelligence and machine learning.

## Why They Matter
Vitor R. Carvalho represents the next generation of computer scientists who have been trained at elite institutions like Carnegie Mellon University. His Ph.D. work in artificial intelligence and machine learning contributes to the ongoing advancement of these critical technologies that power everything from search engines to autonomous vehicles. By completing his doctorate under William W. Cohen, Carvalho has positioned himself within a lineage of influential AI researchers, helping to push the boundaries of what's possible in machine learning applications.

## Notable For
- Ph.D. graduate from Carnegie Mellon University (2008)
- Research contributions in artificial intelligence and machine learning
- Academic lineage through doctoral advisor William W. Cohen
- Published researcher with presence in academic databases (DBLP, Google Scholar)
- Connection to Carnegie Mellon's prestigious computer science program

## Body
### Academic Background
Vitor R. Carvalho completed his doctoral studies at Carnegie Mellon University, one of the world's most prestigious computer science programs. His graduation year of 2008 places him among the cohort of researchers who entered the field during a period of rapid advancement in artificial intelligence and machine learning technologies.

### Research Focus
While specific details of Carvalho's dissertation are not provided in the source material, his classification as a computer scientist with research interests in AI and machine learning suggests his work likely contributed to these rapidly evolving fields. The timing of his Ph.D. (2008) coincides with significant developments in deep learning and data-driven approaches to artificial intelligence.

### Academic Network
Carvalho's connection to William W. Cohen as his doctoral advisor establishes his place within an academic network of computer scientists. This relationship indicates he was trained in rigorous research methodologies and exposed to cutting-edge developments in his field during his time at Carnegie Mellon.

### Professional Presence
His presence in academic databases including DBLP and Google Scholar, along with a Mathematics Genealogy Project ID (126309), demonstrates his established presence in the academic computer science community. These identifiers allow researchers to track his publications and academic contributions over time.

## References

1. Mathematics Genealogy Project