Yonina Eldar

Prof. Yonina Eldar is a Professor of Electrical Engineering at the Faculty of Mathematics and Computer Science, Weizmann Institute of Science. She holds the Dorothy and Patrick Gorman Professorial Chair and serves as Head of the Manya Igel Center for Biomedical Engineering and Signal Processing. Her research bridges classical signal processing with modern deep learning techniques.

• Develops model-based deep learning frameworks combining domain knowledge with data-driven approaches
• Focuses on sub-Nyquist sampling for efficient data acquisition in radar, ultrasound, and communications
• Created hardware prototypes for time-encoding machines and modulo-ADC systems
• Innovates in joint radar-communication systems for autonomous vehicles

Her work emphasizes algorithm unrolling to create interpretable neural networks with reduced training requirements. Publications demonstrate applications in:

• Medical imaging (ultrasound, ECG monitoring)
• Autonomous systems (automotive radar)
• Communication technologies (DFRC systems)

Active in theoretical foundations of model-based deep learning, with recent work establishing mathematical guarantees for unfolded networks. Collaborations include Tsinghua University and industry partners for hardware validation.