Keynote Speaker

Yonina Eldar is the Aoun Chair Professor of Electrical and Computer Engineering at Northeastern University and the Dorothy and Patrick Gorman Professorial Chair of Mathematics and Computer Science at the Weizmann Institute where she founded and heads the Signal Acquisition Modeling Processing and Learning Lab (SAMPL) and the Center for Biomedical Engineering. She is also a Visiting Professor at MIT and Princeton, a Visiting Scientist at the Broad Institute, and an Adjunct Professor at Duke University and was a Visiting Professor at Stanford.  She is a member of the Israel Academy of Sciences and Humanities  and of the Academia Europaea, an IEEE Fellow and a EURASIP Fellow. She received the B.Sc. degree in physics and the B.Sc. degree in electrical engineering from Tel-Aviv University, and the Ph.D. degree in electrical engineering and computer science from MIT. She has received many awards for excellence in research and teaching, including the Israel Prize (2025), Landau Prize (2024), IEEE Signal Processing Society Technical Achievement Award (2013), the IEEE/AESS Fred Nathanson Memorial Radar Award (2014) and the IEEE Kiyo Tomiyasu Award (2016). She received the Michael Bruno Memorial Award from the Rothschild Foundation, the Weizmann Prize for Exact Sciences, the Wolf Foundation Krill Prize for Excellence in Scientific Research, the Henry Taub Prize for Excellence in Research (twice), the Hershel Rich Innovation Award (three times), and the Award for Women with Distinguished Contributions. She was selected as one of the 50 most influential women in Israel, and was a member of the Israel Committee for Higher Education. She is the Editor in Chief of Foundations and Trends in Signal Processing, a member of several IEEE Technical Committees and Award Committees, and heads the Committee for Promoting Gender Fairness in Higher Education Institutions in Israel.

Talk Title: 

Integrated Sensing and Communications: From Signal Processing to Prototypes

Abstract

Integrating sensing functionality into communication devices is emerging as a key enabler of 6G radio access networks. Dual-function radar-communication (DFRC) systems jointly perform sensing and communications using shared hardware and spectral resources, improving energy efficiency, spectral utilization, and hardware footprint.

In this talk, we present signal processing and hardware design principles for practical DFRC systems. We begin by introducing sub-Nyquist sampling and sparse array techniques that enable joint sensing and communications at low sampling rates and reduced bit budgets. We then present new hardware architectures for continuous monitoring, event-based sampling, and high dynamic range operation. Next, we discuss joint waveform and transceiver design approaches for radar detection, target localization, and multiuser communications, including spectrum sharing, joint precoder optimization, and index modulation techniques. These methods enable flexible tradeoffs between radar and communication performance while preserving key radar properties such as the ambiguity function. Finally, we highlight emerging directions in integrated sensing and communications, including model-based AI for operation under channel uncertainty, near-field 6G radar-communication systems, and hybrid RIS/DMA architectures for configurable radiation patterns. Throughout the talk, we bridge theory and practice by demonstrating real-time DFRC prototypes, low-bit and low-power ADC designs, and cognitive joint radar-communication platforms.