# Morgan Emory Dixon

> PhD, University of Washington, Computer Science & Engineering, 2015

**Wikidata**: [Q113667716](https://www.wikidata.org/wiki/Q113667716)  
**Source**: https://4ort.xyz/entity/morgan-emory-dixon

## Summary
Morgan Emory Dixon is an American computer scientist who earned her PhD in Computer Science & Engineering from the University of Washington in 2015. She is known for her research on pixel-based reverse engineering of graphical interfaces, supervised by James A. Fogarty.

## Biography
- Born: [Not specified]
- Nationality: United States
- Education: PhD, University of Washington (Computer Science & Engineering, 2015)
- Known for: Developing techniques for pixel-based reverse engineering of graphical interfaces
- Employer(s): [Not specified]
- Field(s): Computer science

## Contributions
Morgan Emory Dixon's primary contribution is her doctoral thesis, *Pixel-based Reverse Engineering of Graphical Interfaces*, completed under the supervision of James A. Fogarty. This work focused on reverse engineering graphical user interfaces by analyzing pixel-level data, contributing to the field of human-computer interaction and interface design. Her research likely advanced automated UI analysis and accessibility tools, though specific publications or follow-up work are not detailed in the provided source material.

## FAQs
### Q: What is Morgan Emory Dixon known for?
A: Morgan Emory Dixon is known for her PhD research on pixel-based reverse engineering of graphical interfaces, completed at the University of Washington in 2015.

### Q: Who was Morgan Emory Dixon's advisor?
A: James A. Fogarty served as Morgan Emory Dixon's doctoral advisor.

### Q: What was the title of Morgan Emory Dixon's thesis?
A: Her thesis was titled *Pixel-based Reverse Engineering of Graphical Interfaces*.

### Q: Is Morgan Emory Dixon still active in research?
A: The source material does not provide information on her current research activities.

### Q: Has Morgan Emory Dixon published any papers?
A: The source material does not mention any specific publications by Morgan Emory Dixon.

## Why They Matter
Morgan Emory Dixon's work on pixel-based reverse engineering of graphical interfaces represents a foundational contribution to automated UI analysis. Her thesis likely laid the groundwork for tools that improve accessibility, usability testing, and software reverse engineering. While her direct impact may not be widely documented, her research aligns with broader efforts to enhance human-computer interaction through automated interface analysis. Her work could have influenced developers and researchers working on UI automation, accessibility tools, or reverse engineering techniques.

## Notable For
- Developed *Pixel-based Reverse Engineering of Graphical Interfaces*, a PhD thesis supervised by James A. Fogarty.
- Contributed to automated analysis of graphical user interfaces through pixel-level data.
- Worked in the field of computer science, specifically human-computer interaction.

## Body
### Education and Thesis
Morgan Emory Dixon completed her PhD in Computer Science & Engineering at the University of Washington in 2015. Her thesis, *Pixel-based Reverse Engineering of Graphical Interfaces*, focused on reverse engineering graphical user interfaces by analyzing pixel data. This research likely explored methods to automate the extraction of UI structures, potentially aiding in accessibility tools or software analysis.

### Advisor
James A. Fogarty, an American computer scientist and professor, served as her doctoral advisor. Fogarty's work in human-computer interaction may have influenced her research direction.

### Research Focus
The source material does not provide details on her ongoing research or publications. However, her thesis suggests an interest in automated UI analysis, which could have applications in software engineering, accessibility, or usability testing.

### Legacy
While specific follow-up work by Morgan Emory Dixon is not documented, her thesis represents a contribution to the field of human-computer interaction. Her research may have influenced tools or methodologies for reverse engineering graphical interfaces, though further documentation is needed to assess its broader impact.

## References

1. WorldCat