# Atri Rudra

> Ph.D. University of Washington 2007

**Wikidata**: [Q102110306](https://www.wikidata.org/wiki/Q102110306)  
**Source**: https://4ort.xyz/entity/atri-rudra

## Summary
Atri Rudra is a computer scientist who earned his Ph.D. from the University of Washington in 2007. He is known for his work in error-correcting codes and list decoding, with Venkatesan Guruswami serving as his doctoral advisor. His research contributed to advancements in coding theory and computational complexity.

## Biography
- Born: [date and place not specified]
- Nationality: [nationality not specified]
- Education:
  - Ph.D. in Computer Science, University of Washington (2007)
  - Thesis: *List Decoding and Property Testing of Error Correcting Codes*
- Known for: Pioneering research in list decoding and property testing of error-correcting codes.
- Employer(s): [not specified]
- Field(s): Theoretical computer science, coding theory

## Contributions
Atri Rudra's doctoral work, titled *List Decoding and Property Testing of Error Correcting Codes*, focused on advancing list decoding—a technique used to correct errors in data transmission. His research, supervised by Venkatesan Guruswami, contributed to the understanding of error-correcting codes and their applications in computational complexity. The work likely influenced subsequent developments in coding theory and algorithmic research.

## FAQs
### Q: What was Atri Rudra's academic focus?
A: Atri Rudra specialized in list decoding and property testing of error-correcting codes during his Ph.D. at the University of Washington.

### Q: Who was Atri Rudra's doctoral advisor?
A: Venkatesan Guruswami served as Atri Rudra's doctoral advisor.

### Q: What is list decoding?
A: List decoding is a method used to correct errors in data transmission by generating a list of possible codewords rather than a single corrected message.

### Q: What is property testing in coding theory?
A: Property testing in coding theory involves determining whether a given code satisfies certain properties, often with limited access to the code's structure.

### Q: What impact did Atri Rudra's work have on coding theory?
A: Atri Rudra's research contributed to advancements in error-correcting codes and computational complexity, influencing later developments in the field.

## Why They Matter
Atri Rudra's work on list decoding and property testing of error-correcting codes laid foundational groundwork for understanding how errors in data transmission can be efficiently corrected. His research, supervised by Venkatesan Guruswami, likely influenced subsequent advancements in coding theory and computational complexity. While his specific contributions may not be widely known, his doctoral thesis represents a key step in the evolution of error-correcting techniques, which are critical for reliable data communication and storage.

## Notable For
- Authored the doctoral thesis *List Decoding and Property Testing of Error Correcting Codes* (2007).
- Supervised by Venkatesan Guruswami, a prominent Indian computer scientist.
- Contributed to theoretical advancements in coding theory and computational complexity.

## Body
### Education and Thesis
Atri Rudra completed his Ph.D. in Computer Science at the University of Washington in 2007. His thesis, *List Decoding and Property Testing of Error Correcting Codes*, explored techniques for correcting errors in data transmission and testing the properties of error-correcting codes.

### Academic Advisor
Venkatesan Guruswami, an Indian mathematician and computer scientist, served as Atri Rudra's doctoral advisor. Guruswami is known for his contributions to coding theory and computational complexity.

### Research Focus
Atri Rudra's research focused on list decoding—a method that generates a list of possible codewords to correct errors in data transmission. His work also involved property testing, which assesses whether a code satisfies certain properties with limited access to its structure.

### Influence on Coding Theory
Atri Rudra's doctoral work contributed to the understanding of error-correcting codes and their applications in computational complexity. His research likely influenced later developments in coding theory, particularly in the design and analysis of error-correcting techniques.

## References

1. Mathematics Genealogy Project
2. WorldCat