# Omid Madani

> Ph.D. University of Washington 2000

**Wikidata**: [Q102199438](https://www.wikidata.org/wiki/Q102199438)  
**Source**: https://4ort.xyz/entity/omid-madani

## Summary
Omid Madani is a computer scientist who earned his Ph.D. from the University of Washington in 2000. His research focused on complexity results for infinite-horizon Markov Decision Processes, and he was advised by Richard John Anderson and Steve J. Hanks. He is known for his contributions to computational theory and decision-making algorithms.

## Biography
- Born: 1970
- Nationality: Not specified
- Education:
  - Ph.D. in Computer Science and Computer Engineering, University of Washington (2000)
- Known for: Research on infinite-horizon Markov Decision Processes
- Employer(s): Not specified
- Field(s): Computer science, computational theory

## Contributions
Omid Madani's doctoral work, titled *Complexity Results for Infinite-horizon Markov Decision Processes*, explored computational challenges in decision-making systems. His research, completed under the supervision of Richard John Anderson and Steve J. Hanks, contributed to the understanding of algorithmic complexity in infinite-horizon Markov Decision Processes, a foundational area in artificial intelligence and operations research. While specific publications or industry impacts are not detailed in the provided material, his academic work has likely influenced subsequent research in computational decision theory.

## FAQs
### Q: What is Omid Madani known for?
A: Omid Madani is known for his Ph.D. research on complexity results for infinite-horizon Markov Decision Processes, completed at the University of Washington in 2000.

### Q: Who were Omid Madani's doctoral advisors?
A: Omid Madani's doctoral advisors were Richard John Anderson and Steve J. Hanks.

### Q: What was the title of Omid Madani's doctoral thesis?
A: The title of Omid Madani's doctoral thesis was *Complexity Results for Infinite-horizon Markov Decision Processes*.

### Q: Is Omid Madani still active in computer science?
A: The provided material does not specify Omid Madani's current activities or affiliations.

## Why They Matter
Omid Madani's work on infinite-horizon Markov Decision Processes laid groundwork for understanding computational challenges in decision-making systems. While his direct industry impact is not detailed, his academic contributions have likely influenced researchers in artificial intelligence, operations research, and computational theory. His thesis remains a reference point for studying algorithmic complexity in dynamic decision environments.

## Notable For
- Authored a Ph.D. thesis on infinite-horizon Markov Decision Processes (2000)
- Advised by Richard John Anderson and Steve J. Hanks
- Contributed to computational theory in decision-making algorithms

## Body
### Education and Research
Omid Madani completed his Ph.D. in Computer Science and Computer Engineering at the University of Washington in 2000. His thesis, *Complexity Results for Infinite-horizon Markov Decision Processes*, focused on computational challenges in infinite-horizon decision-making systems. His advisors were Richard John Anderson and Steve J. Hanks.

### Academic Influence
While specific publications or industry impacts are not detailed, Madani's work has likely influenced subsequent research in computational decision theory, particularly in the study of algorithmic complexity in dynamic environments. His contributions remain relevant in fields requiring advanced decision-making models.

### Current Status
The provided material does not specify Omid Madani's current employment, publications, or ongoing research. His academic work remains his most documented achievement.

## References

1. Mathematics Genealogy Project
2. WorldCat