# Abhay Jha

> PhD, University of Washington, Computer Science & Engineering, 2012

**Wikidata**: [Q113667691](https://www.wikidata.org/wiki/Q113667691)  
**Source**: https://4ort.xyz/entity/abhay-jha

## Summary
Abhay Jha is a computer scientist who earned a PhD from the University of Washington in Computer Science & Engineering in 2012, advised by Dan Suciu, and is known for his work on scalable query evaluation over complex probabilistic databases.

## Biography
- Born: [date and place not provided]
- Nationality: [country not provided]
- Education: PhD in Computer Science & Engineering from University of Washington (2012)
- Known for: Research on scalable query evaluation over complex probabilistic databases
- Employer(s): [not provided]
- Field(s): Computer science

## Contributions
Abhay Jha completed his doctoral dissertation titled "Scalable Query Evaluation Over Complex Probabilistic Databases" under the supervision of Dan Suciu at the University of Washington in 2012. The work focused on developing methods to efficiently query complex probabilistic databases, addressing challenges in handling large-scale probabilistic data systems. The dissertation represents his primary academic contribution as documented in the source material.

### Q: What is Abhay Jha's doctoral dissertation about?
A: His dissertation, titled "Scalable Query Evaluation Over Complex Probabilistic Databases," focused on developing methods to efficiently query complex probabilistic databases.

### Q: Who was Abhay Jha's doctoral advisor?
A: His doctoral advisor was Dan Suciu, a Romanian computer scientist.

### Q: Where did Abhay Jha earn his PhD?
A: He earned his PhD from the University of Washington in Computer Science & Engineering in 2012.

## Why They Matter
Abhay Jha's work on scalable query evaluation over complex probabilistic databases contributes to the advancement of database systems that handle probabilistic information. His research addresses the computational challenges of querying large-scale probabilistic data, which is increasingly relevant in fields like machine learning, data analytics, and artificial intelligence where probabilistic models are commonly used. The techniques developed in his dissertation provide foundational approaches for efficient processing of probabilistic queries, influencing subsequent research in probabilistic database systems.

## Notable For
- Earned a PhD from University of Washington in 2012 with dissertation on scalable query evaluation over complex probabilistic databases
- Advisor was Dan Suciu, a Romanian computer scientist
- Dissertation titled "Scalable Query Evaluation Over Complex Probabilistic Databases"
- Listed as a computer scientist with Google Scholar author ID CXQ_CUkAAAAJ

## Body
### Education
Abhay Jha received his doctoral degree in Computer Science & Engineering from the University of Washington in 2012. His academic degree is documented with the qualifier indicating a doctorate from this institution. The university's computer science program is noted as the educational institution for this degree.

### Academic Thesis
His doctoral dissertation, titled "Scalable Query Evaluation Over Complex Probabilistic Databases," was completed under the guidance of Dan Suciu. The dissertation represents his primary academic contribution as documented in the source material. The work focuses on developing methods to efficiently query complex probabilistic databases, addressing computational challenges in handling large-scale probabilistic data systems.

### Professional Identity
Abhay Jha is classified as a computer scientist with a Google Scholar author ID of CXQ_CUkAAAAJ and a Google Knowledge Graph ID of /g/11gr6kvt66. He is listed as being on the focus list of the WikiProject PCC Wikidata Pilot/University of Washington, indicating his association with this academic project. The source material distinguishes him from Abhinav K Jha, suggesting there may be individuals with similar names in the computer science community.

## References

1. WorldCat