# Yonina Eldar

> Israeli academic and engineer

**Wikidata**: [Q6964324](https://www.wikidata.org/wiki/Q6964324)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Yonina_Eldar)  
**Source**: https://4ort.xyz/entity/yonina-eldar

## Summary
Yonina Eldar is an Israeli academic and engineer renowned for her pioneering contributions to signal processing, compressed sensing, and deep learning. She is a professor at the Technion – Israel Institute of Technology and a leading figure in the development of sub-Nyquist sampling techniques, which have revolutionized fields like radar, medical imaging, and communications.

## Biography
- **Born**: January 25, 1973, in Toronto, Canada
- **Nationality**: Israeli
- **Education**:
  - B.Sc. (1992–1998) and M.Sc. (1998) in Electrical Engineering, Tel Aviv University
  - Ph.D. (1998–2002) in Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), advised by Alan V. Oppenheim
- **Known for**: Advances in compressed sensing, sub-Nyquist sampling, and deep learning applications in signal processing
- **Employer(s)**: Technion – Israel Institute of Technology, Weizmann Institute of Science, Broad Institute, Duke University
- **Field(s)**: Engineering, electrical engineering, machine learning, deep learning, medical imaging, radar, convex optimization

## Contributions
Yonina Eldar has made groundbreaking contributions to signal processing and machine learning. Her work on **compressed sensing** and **sub-Nyquist sampling** has enabled more efficient data acquisition in radar, ultrasound, and MRI systems. In 2016, she received the **IEEE Kiyo Tomiyasu Award** for developing sub-Nyquist sampling theory, which reduces the data rate required for signal reconstruction without losing critical information.

She has authored over 200 peer-reviewed papers and co-authored the influential book *"Compressed Sensing: Theory and Applications"* (2012). Her research in **deep learning** has advanced real-time medical imaging and autonomous systems. Eldar’s collaborations with institutions like MIT, Duke University, and the Broad Institute have led to innovations in computational biology and biomedical engineering.

Her doctoral students, including **Yoav Shechtman** and **Tomer Michaeli**, have become prominent researchers in physics and computer science, extending her influence across disciplines.

## FAQs
### Q: What is Yonina Eldar best known for?
A: Yonina Eldar is best known for her work in **compressed sensing** and **sub-Nyquist sampling**, which allow signals to be captured and reconstructed with far fewer measurements than traditional methods, impacting radar, medical imaging, and communications.

### Q: Where does Yonina Eldar work?
A: She is a professor at the **Technion – Israel Institute of Technology** and has affiliations with the **Weizmann Institute of Science**, **Broad Institute**, and **Duke University**.

### Q: What awards has Yonina Eldar received?
A: She has received numerous awards, including the **IEEE Kiyo Tomiyasu Award (2016)**, **IEEE Fellowship (2013)**, **Krill Prize (2005)**, and the **Israel Prize (2025)**.

### Q: What is sub-Nyquist sampling?
A: Sub-Nyquist sampling is a technique that captures signals at rates lower than the Nyquist rate (the traditional minimum sampling rate) while still enabling accurate reconstruction, reducing data storage and processing requirements.

### Q: How has Yonina Eldar influenced medical imaging?
A: Her research has improved **ultrasound**, **MRI**, and **CT imaging** by enabling faster, more efficient data acquisition and reconstruction using compressed sensing and deep learning.

## Why They Matter
Yonina Eldar’s work has fundamentally changed how signals are acquired and processed, making high-resolution imaging and sensing more efficient and accessible. Her theories on **sub-Nyquist sampling** have been adopted in military radar systems, medical diagnostics, and wireless communications, reducing hardware costs and power consumption.

By bridging **signal processing** and **machine learning**, she has accelerated advancements in real-time medical imaging, allowing for earlier disease detection and more precise treatments. Her mentorship has shaped the next generation of engineers and scientists, ensuring her impact extends beyond her own research.

## Notable For
- **Pioneer of sub-Nyquist sampling**, reducing data acquisition needs in radar and medical imaging.
- **IEEE Fellow (2013)** for contributions to compressed sampling and convex optimization.
- **Recipient of the IEEE Kiyo Tomiyasu Award (2016)** for sub-Nyquist sampling theory.
- **Author of over 200 peer-reviewed papers** and the book *"Compressed Sensing: Theory and Applications."*
- **Doctoral advisor to influential researchers**, including Yoav Shechtman and Tomer Michaeli.

## Body
### Early Life and Education
Yonina Eldar was born on **January 25, 1973, in Toronto, Canada**, and later became an Israeli citizen. She earned her **B.Sc. and M.Sc. in Electrical Engineering from Tel Aviv University (1992–1998)** before pursuing a **Ph.D. at MIT (1998–2002)**, where she studied under **Alan V. Oppenheim**.

### Career and Research
Eldar joined the **Technion – Israel Institute of Technology** as a faculty member, where she leads research in **signal processing, machine learning, and medical imaging**. Her work on **compressed sensing** demonstrated that signals could be reconstructed from far fewer samples than previously thought possible, a breakthrough with applications in:
- **Radar systems** (faster, lower-power operation)
- **Medical imaging** (reduced MRI and ultrasound scan times)
- **Wireless communications** (more efficient spectrum use)

In **2016**, she was awarded the **IEEE Kiyo Tomiyasu Award** for her contributions to sub-Nyquist sampling. Her research group has developed algorithms that integrate **deep learning** with traditional signal processing, improving real-time image reconstruction in clinical settings.

### Awards and Honors
- **Krill Prize (2005)** – Awarded by the Wolf Foundation for outstanding young scientists.
- **Weizmann Prize for Exact Sciences (2011)** – Recognizing her contributions to engineering.
- **IEEE Fellow (2013)** – Cited for advancements in compressed sampling and convex optimization.
- **Michael Bruno Memorial Award (2010)** – For excellence in engineering research.
- **Israel Prize (2025)** – Israel’s highest honor for scientific achievement.

### Collaborations and Affiliations
Eldar has held visiting positions at:
- **MIT** (postdoctoral research)
- **Duke University**
- **Broad Institute** (biomedical research)

She is a member of the **Israel Academy of Sciences and Humanities** and the **IEEE**.

### Personal Life
Eldar is married and has **five children**. She is fluent in **English** and **Hebrew**.

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## References

1. LinkedIn
2. [Source](https://wolffund.org.il/%d7%93%d7%a8-%d7%99%d7%95%d7%a0%d7%99%d7%a0%d7%94-%d7%90%d7%9c%d7%93%d7%a8/)
3. [Source](https://services27.ieee.org/fellowsdirectory/home.html)
4. [Source](https://www.ieee.org/content/dam/ieee-org/ieee/web/org/about/awards/recipients/tomiyasu-rl.pdf)
5. [Source](https://iias.huji.ac.il/brunolaureates)
6. Mathematics Genealogy Project
7. IdRef