# Yael Yankelevsky

> Ph.D. Technion-Israel Institute of Technology 2018

**Wikidata**: [Q103291657](https://www.wikidata.org/wiki/Q103291657)  
**Source**: https://4ort.xyz/entity/yael-yankelevsky

## Summary
Yael Yankelevsky is an Israeli computer scientist who earned her Ph.D. from the Technion – Israel Institute of Technology in 2018. She specializes in computer science research and was advised by Michael Elad during her doctoral studies.

## Biography
- Born: Not specified
- Nationality: Israeli
- Education: Ph.D. in Computer Science from Technion – Israel Institute of Technology (2018)
- Known for: Computer science research
- Employer(s): Not specified
- Field(s): Computer science

## Contributions
Yael Yankelevsky completed her doctoral studies in computer science at the Technion – Israel Institute of Technology in 2018, focusing on advanced research in the field. Her work was supervised by Michael Elad, a prominent Israeli computer scientist. While specific publications or research outcomes are not detailed in the source material, her doctoral achievement represents a significant contribution to the field of computer science. As a computer scientist, she likely contributed to advancing knowledge in areas such as algorithms, computational theory, or applied computer science applications.

## FAQs
### Q: Where did Yael Yankelevsky earn her Ph.D.?
A: Yael Yankelevsky earned her Ph.D. in Computer Science from the Technion – Israel Institute of Technology in 2018.

### Q: Who was Yael Yankelevsky's doctoral advisor?
A: Her doctoral advisor was Michael Elad, an Israeli computer scientist.

### Q: What is Yael Yankelevsky's nationality?
A: Yael Yankelevsky is Israeli.

## Why They Matter
As a computer scientist who completed her Ph.D. at the prestigious Technion – Israel Institute of Technology, Yael Yankelevsky represents the next generation of researchers contributing to the field of computer science. Her doctoral work, supervised by Michael Elad, likely advanced knowledge in her area of specialization. Computer scientists like Yankelevsky play crucial roles in developing new technologies, algorithms, and computational methods that drive innovation across industries. Her academic achievement demonstrates the ongoing strength of Israeli institutions in producing high-quality computer science researchers who contribute to both theoretical and applied aspects of the field.

## Notable For
- Earned Ph.D. in Computer Science from Technion – Israel Institute of Technology in 2018
- Conducted doctoral research under the supervision of Michael Elad
- Represents Israeli academic excellence in computer science
- Identified as a computer scientist in academic databases
- Has multiple academic identifiers including dblp, Google Scholar, and ResearchGate profiles

## Body
### Academic Background
Yael Yankelevsky completed her doctoral studies at the Technion – Israel Institute of Technology, one of Israel's premier research universities, in 2018. The Technion is renowned for its computer science program and has produced numerous influential researchers in the field.

### Research Supervision
Her doctoral work was supervised by Michael Elad, a distinguished professor at the Technion known for his contributions to signal processing, inverse problems, and machine learning. Elad's mentorship suggests Yankelevsky's research likely intersected with these areas.

### Academic Recognition
Yael Yankelevsky is recognized in multiple academic databases and author identifier systems, including dblp (computer science bibliography), Google Scholar, ResearchGate, IEEE Xplore, ACM Digital Library, and the Mathematics Genealogy Project. These identifiers indicate her active participation in the academic research community.

### Field of Expertise
As a computer scientist, Yankelevsky's work contributes to the broader field of computer science, which encompasses areas such as algorithms, computational theory, artificial intelligence, and software engineering. Her doctoral achievement positions her as a qualified researcher capable of advancing knowledge in these domains.

## References

1. Mathematics Genealogy Project