Yonina Eldar

Yonina Eldar is a visiting professor at MIT’s Department of Electrical Engineering and Computer Science, a visiting scientist at the Broad Institute, an adjunct professor at Duke University, and a professor at the Weizmann Institute of Science in Israel. Her research interests include signal processing and machine learning, medical imaging, optics, communications, radar and optimization. She is a member of the Israel Academy of Sciences and Humanities, an IEEE Fellow and a EURASIP Fellow. Her awards include an IEEE Signal Processing Society Technical Achievement Award, an IEEE/AESS Fred Nathanson Memorial Radar Award and an IEEE Kiyo Tomiyasu Award. She earned a BS in physics and in electrical engineering from Tel-Aviv University, and a PhD in electrical engineering and computer science from MIT.

Publications

• J. G. van Sloun, R. Cohen, Y. C. Eldar. (2020). Deep Learning in Ultrasound Imaging. Proceedings of the IEEE.
• Monga, Y. Li, Y. C. Eldar. (2020), Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing. IEEE Signal Processing Magazine.
• Dardikman-Yoffe, Y. C. Eldar. (2020). Learned SPARCOM: Unfolded Deep Super-Resolution Microscopy. Optics Express.
• Ma, N. Shlezinger, T. Huang, Y. Liu, Y. C. Eldar. (2020). Joint Radar-Communications Strategies for Autonomous Vehicles. IEEE Signal Processing Magazine.