# Tai-peng Tian

> Ph.D. Boston University 2011

**Wikidata**: [Q102379573](https://www.wikidata.org/wiki/Q102379573)  
**Source**: https://4ort.xyz/entity/tai-peng-tian

## Summary
Tai-peng Tian is a computer scientist recognized for his contributions to the field of computer vision. He completed his Doctor of Philosophy (Ph.D.) at Boston University in 2011. His academic work was conducted under the supervision of Stan Sclaroff, a notable expert in the field.

## Biography
*   **Education:** Doctor of Philosophy (Ph.D.), Boston University (2011)
*   **Known for:** Computer vision
*   **Field(s):** Computer Science; Computer Vision
*   **Doctoral Advisor:** Stan Sclaroff
*   **Aliases:** Tian Tai Peng

## Contributions
Tai-peng Tian’s contributions are centered in the domain of computer vision, a field of computer science focused on how computers can gain high-level understanding from digital images or videos. His academic career is marked by the completion of a doctoral dissertation at Boston University in 2011.

His research has been indexed by major scientific databases, indicating a formal contribution to scholarly literature. He holds author profiles in the ACM Digital Library (ID: 81342513543) and the Mathematics Genealogy Project (ID: 153863), as well as a Google Scholar profile (ID: 1MceCxsAAAAJ). These records serve as the primary archival evidence of his work and impact within the computer science community.

## FAQs
### Q: What is Tai-peng Tian's educational background?
A: Tai-peng Tian earned his Doctor of Philosophy (Ph.D.) from Boston University in 2011.

### Q: Who was Tai-peng Tian's doctoral advisor?
A: His doctoral advisor was Stan Sclaroff, a computer scientist who received his Ph.D. from the Massachusetts Institute of Technology (MIT) in 1995.

### Q: What field of study does Tai-peng Tian specialize in?
A: He specializes in computer science, with a specific focus on computer vision.

### Q: Is Tai-peng Tian known by any other names?
A: Yes, structured property data lists "Tian Tai Peng" as an alias.

## Why They Matter
Tai-peng Tian represents a contributor to the specialized and technical field of computer vision. His association with Boston University and the mentorship of Stan Sclaroff place him within a specific academic lineage of computer scientists tackling visual data problems. While specific commercial applications of his work are not detailed in the provided sources, the rigorous nature of a Ph.D. in this field implies a contribution to the algorithms or methods used for image analysis. His presence in extensive academic databases like the ACM Digital Library and Google Scholar confirms that his research has entered the scientific record, serving as a resource for other researchers and practitioners in computer vision.

## Notable For
*   **Computer Vision Research:** Identified as a practitioner in the industry and service sectors of computer science.
*   **Academic Lineage:** Advised by Stan Sclaroff during his doctoral studies.
*   **Academic Identifiers:** Holds recognized IDs in the Mathematics Genealogy Project, ACM Digital Library, and Google Scholar.

## Body
### Academic Background
Tai-peng Tian pursued advanced studies in computer science, culminating in the awarding of a Doctor of Philosophy degree from Boston University. His graduation date was 2011. The qualification was verified through academic references linked to Boston University.

### Research and Mentorship
Tian operates within the field of **computer vision**. His doctoral training was overseen by **Stan Sclaroff**, a professor and computer scientist who obtained his own Ph.D. from the Massachusetts Institute of Technology in 1995. This mentorship situates Tian within an academic network focused on advanced computing and visual recognition technologies.

### Digital Footprint
Tai-peng Tian is documented across several key scientific repositories:
*   **ACM Digital Library:** Author ID 81342513543.
*   **Mathematics Genealogy Project:** ID 153863.
*   **Google Scholar:** Author ID 1MceCxsAAAAJ.
*   **Google Knowledge Graph:** ID /g/11lkdhpk5q.
*   **MR Author ID:** 754506.

## References

1. Mathematics Genealogy Project