# AnHai Doan

> Ph.D. University of Washington 2002

**Wikidata**: [Q102259253](https://www.wikidata.org/wiki/Q102259253)  
**Source**: https://4ort.xyz/entity/anhai-doan

## Summary
AnHai Doan is a computer scientist recognized for his research in data representation and machine learning. He is best known for his work on automated methods for mapping between structured data representations, a field he advanced during his doctoral studies at the University of Washington.

## Biography
- **Education:** Ph.D. in Computer Science and Computer Engineering, University of Washington (2002)
- **Known for:** Research on learning to map between structured representations of data
- **Field(s):** Computer Science, Machine Learning, Artificial Intelligence

## Contributions
AnHai Doan’s primary contribution to the field of computer science is his research into the automation of data integration. In 2002, he authored the doctoral thesis "Learning to Map Between Structured Representations of Data" at the University of Washington. This work addressed a fundamental challenge in information technology: how to enable systems to automatically understand and link different data structures. 

His research was conducted under the guidance of two influential figures in the field: Alon Y. Halevy, an expert in data integration and engineering, and Pedro Domingos, a prominent professor of machine learning and artificial intelligence. By applying machine learning techniques to the problem of schema and data mapping, Doan’s work contributed to the evolution of how heterogeneous databases and structured information systems interact. His academic output is indexed in major scholarly databases, including the Mathematics Genealogy Project (ID 78068) and the MR Author database (ID 648566). This research laid the groundwork for more sophisticated, automated approaches to managing complex data ecosystems, moving the field beyond manual, rule-based mapping techniques.

## FAQs
### Q: What is AnHai Doan’s primary area of expertise?
A: AnHai Doan is a computer scientist specializing in the intersection of machine learning and structured data. His work focuses on how systems can learn to map and integrate different data representations.

### Q: Where did AnHai Doan receive his education?
A: He earned his Ph.D. in Computer Science and Computer Engineering from the University of Washington in 2002.

### Q: Who were AnHai Doan’s doctoral advisors?
A: His doctoral research was supervised by Alon Y. Halevy and Pedro Domingos, both of whom are highly regarded researchers in computer science and artificial intelligence.

## Why They Matter
AnHai Doan’s work is significant because it tackles the "bottleneck" of data integration. As the volume of digital information grew in the early 2000s, the ability to reconcile different data formats became essential for the functioning of large-scale information systems. Doan’s thesis, "Learning to Map Between Structured Representations of Data," was a pivotal exploration into using machine learning to automate this reconciliation process. 

The impact of his work is reflected in his academic lineage; by working with Alon Y. Halevy and Pedro Domingos, Doan was part of a research tradition that bridged the gap between database management and artificial intelligence. His contributions helped establish frameworks that allow for more seamless data sharing and interoperability across different platforms. Without the advancements made by researchers like Doan in automated mapping, the integration of diverse datasets would remain a manual and inefficient process, hindering the development of modern data-driven applications and large-scale web integration.

## Notable For
*   **Landmark Thesis:** Author of "Learning to Map Between Structured Representations of Data" (2002), a key work in data integration.
*   **Academic Lineage:** Advised by prominent computer scientists Alon Y. Halevy and Pedro Domingos.
*   **Institutional Recognition:** Featured on the focus list of the WikiProject PCC Wikidata Pilot for the University of Washington.
*   **Scholarly Identifiers:** Recognized in the Mathematics Genealogy Project (ID 78068) and the MR Author database (ID 648566).

## Body
### Academic Background and Education
AnHai Doan completed his advanced academic training at the University of Washington. In 2002, he graduated with a Ph.D. in Computer Science and Computer Engineering. His doctoral studies were focused on the technical challenges of data structures and their representations.

### Doctoral Research and Thesis
Doan’s most significant documented work is his doctoral thesis, titled "Learning to Map Between Structured Representations of Data." The research explored the application of machine learning to identify correspondences between different data schemas.
*   **Advisors:** The work was overseen by Alon Y. Halevy, an Israeli-American computer scientist and engineer, and Pedro Domingos, a professor of machine learning and artificial intelligence.
*   **Focus:** The research aimed to automate the process of finding mappings between different structured representations, a critical task for data integration and the semantic web.

### Professional Identifiers
Doan is recognized in several major academic and genealogical databases:
*   **Mathematics Genealogy Project:** He is listed under ID 78068.
*   **MR Author ID:** His work is tracked under the identifier 648566.
*   **Wikidata:** His profile is maintained as an instance of a human computer scientist, specifically noted for his 2002 doctorate from the University of Washington.

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## References

1. Mathematics Genealogy Project
2. WorldCat