# Shu Liang

> PhD, University of Washington, Computer Science & Engineering, 2018

**Wikidata**: [Q113667735](https://www.wikidata.org/wiki/Q113667735)  
**Source**: https://4ort.xyz/entity/shu-liang

## Summary
Shu Liang is a computer scientist who earned a PhD in Computer Science & Engineering from the University of Washington in 2018. Their doctoral research focused on data-driven approaches for personalized head reconstruction under advisor Linda Shapiro.

## Biography
- Born: 1990 (Place not specified)
- Nationality: Not specified
- Education: PhD, Computer Science & Engineering, University of Washington (2018)
- Known for: Doctoral thesis on "Data-driven Approaches for Personalized Head Reconstruction"
- Employer(s): Not specified
- Field(s): Computer Science & Engineering

## Contributions
Shu Liang's primary contribution is their doctoral thesis, "Data-driven Approaches for Personalized Head Reconstruction," completed in 2018 at the University of Washington. This work represents a specific research focus within computer science, utilizing data-driven methods to advance the field of personalized head reconstruction. The thesis demonstrates expertise in applying computational techniques to solve problems in computer graphics or related areas, contributing to the body of knowledge in their field. While specific publications or patents beyond the thesis are not detailed in the source material, the thesis itself stands as a defined research output from their doctoral studies.

## FAQs
### Q: What is Shu Liang's academic background?
A: Shu Liang holds a PhD in Computer Science & Engineering from the University of Washington, awarded in 2018.

### Q: Who was Shu Liang's doctoral advisor?
A: Shu Liang's doctoral advisor was Linda Shapiro, an American computer scientist and university teacher.

### Q: What was the topic of Shu Liang's doctoral thesis?
A: Shu Liang's doctoral thesis was titled "Data-driven Approaches for Personalized Head Reconstruction."

### Q: When and where did Shu Liang earn their PhD?
A: Shu Liang earned their PhD from the University of Washington in 2018.

## Why They Matter
Shu Liang's doctoral research on "Data-driven Approaches for Personalized Head Reconstruction" contributes to the advancement of computer science, specifically in areas involving 3D modeling, computer vision, or personalized digital content creation. By developing and applying data-driven methods, their work adds to the technical foundation for creating more accurate and individualized digital representations of the human head. This research, conducted under the guidance of established computer scientist Linda Shapiro, represents a specific contribution within the broader field of computer science and engineering, potentially influencing future work in graphics, animation, or medical imaging. Their inclusion in the WikiProject PCC Wikidata Pilot highlights their connection to the University of Washington's academic output.

## Notable For
*   Earning a PhD in Computer Science & Engineering from the University of Washington in 2018.
*   Doctoral research focused on "Data-driven Approaches for Personalized Head Reconstruction."
*   Serving as a doctoral advisee of prominent computer scientist Linda Shapiro.
*   Being included in the WikiProject PCC Wikidata Pilot for the University of Washington.

## Body
### Education
Shu Liang completed their doctoral studies at the University of Washington. They were awarded a doctorate (PhD) in Computer Science & Engineering in 2018. Their academic qualifications specifically include degrees in both computer science and computer engineering.

### Doctoral Research
Shu Liang's doctoral thesis was titled "Data-driven Approaches for Personalized Head Reconstruction." This work represents their primary research contribution, focusing on utilizing data-driven methodologies to advance the field of personalized head reconstruction within computer science.

### Academic Lineage
Shu Liang's doctoral advisor was Linda Shapiro, an American computer scientist and university teacher. This academic relationship places Shu Liang within a specific research lineage at the University of Washington.

## References

1. WorldCat