# Cyrus Rashtchian

> Ph.D. University of Washington 2018

**Wikidata**: [Q103134018](https://www.wikidata.org/wiki/Q103134018)  
**Source**: https://4ort.xyz/entity/cyrus-rashtchian

## Summary
Cyrus Rashtchian is a computer scientist who earned his Ph.D. from the University of Washington in 2018. He is known for his doctoral research focused on distributed similarity search and edge estimation. His academic work was conducted under the supervision of Paul William Beame.

## Biography
*   **Education**: Ph.D. in Computer Science and Engineering, University of Washington (2018)
*   **Field(s)**: Computer Science
*   **Doctoral Advisor**: Paul William Beame
*   **Academic Thesis**: *New Algorithmic Tools for Distributed Similarity Search and Edge Estimation*

## Contributions
Cyrus Rashtchian’s primary contribution to the field of computer science is his doctoral research culminating in his 2018 thesis, titled "New Algorithmic Tools for Distributed Similarity Search and Edge Estimation." This work addresses complex challenges in theoretical computer science, specifically developing algorithmic methods for handling large-scale data problems.

His research in distributed similarity search contributes to the understanding of how systems can efficiently locate similar items within vast datasets spread across multiple machines. Additionally, his work on edge estimation provides tools for analyzing graph structures, which are fundamental to network analysis and data organization. By advancing these specific algorithmic tools, Rashtchian added to the academic discourse on managing and interpreting complex data structures. His work is documented in the Mathematics Genealogy Project under ID 248209.

## FAQs
### Q: What is Cyrus Rashtchian's educational background?
A: Cyrus Rashtchian holds a doctorate (Ph.D.) in Computer Science and Engineering from the University of Washington, which he completed in 2018.

### Q: What was the topic of Cyrus Rashtchian's Ph.D. thesis?
A: His thesis was titled "New Algorithmic Tools for Distributed Similarity Search and Edge Estimation."

### Q: Who was Cyrus Rashtchian's doctoral advisor?
A: His doctoral advisor was Paul William Beame, a computer scientist and university teacher.

## Why They Matter
Cyrus Rashtchian matters to the field of computer science through his specific contributions to algorithm design during his doctoral studies. By tackling "New Algorithmic Tools for Distributed Similarity Search and Edge Estimation," he engaged with critical problems in data science and graph theory. Distributed similarity search is vital for modern applications ranging from database management to recommendation systems, while edge estimation is crucial for understanding network connectivity without exhaustive computation.

His work represents the rigorous academic training provided by the University of Washington's computer science program. As a student of Paul William Beame, a noted figure in computational complexity, Rashtchian’s work contributes to the ongoing academic lineage of research in efficient algorithms. His thesis provides a foundation for future researchers exploring methods to optimize data retrieval and network analysis in distributed environments.

## Notable For
*   Earning a Ph.D. from the University of Washington in 2018.
*   Authoring the thesis "New Algorithmic Tools for Distributed Similarity Search and Edge Estimation."
*   Conducting research under the supervision of Paul William Beame.
*   Classification as a computer scientist in academic records (Mathematics Genealogy Project ID: 248209).

## Body
### Education and Academic Career
Cyrus Rashtchian pursued his higher education in the United States. He attended the University of Washington, where he was enrolled in the Computer Science and Engineering program. He successfully defended his dissertation and was awarded his doctorate in 2018.

### Doctoral Research
His academic output is centered on his thesis, *New Algorithmic Tools for Distributed Similarity Search and Edge Estimation*. This research falls under the broader umbrella of computer science algorithms.

*   **Distributed Similarity Search**: This area of research focuses on finding data points that are "similar" to a query within a system where data is spread across different locations (distributed systems).
*   **Edge Estimation**: This involves algorithmic techniques to estimate the number of connections (edges) in a graph, which is a fundamental problem in network analysis.

### Academic Lineage
Rashtchian studied under **Paul William Beame**, a prominent computer scientist and university teacher who received his own Ph.D. from the University of Toronto in 1987. This association places Rashtchian within a specific academic tree of computer scientists focused on complexity and algorithms. His work is cataloged in the Mathematics Genealogy Project (ID: 248209).

## References

1. Mathematics Genealogy Project
2. WorldCat