Circuits and Systems for Communications and Sensing (CSCS)

The Circuits and Systems for Communications and Sensing (CSCS) program supports the key role of electrical engineering in future communications, sensing, circuits, and signal processing. The program's main goal is to advance next-generation systems that integrate communication, sensing, and computation with physical domains, from the nano- to the macro-scale. CSCS covers a wide range of fields and topics, with a focus on both classical and quantum aspects. The program addresses the need for spectrum sharing and resilient connectivity. It also advances national priorities such as quantum engineering, biotechnology and artificial intelligence (AI). Ultimately, CSCS aims to create innovative solutions to spur economic growth, improve lives, and address national challenges.​

Biomedical Sensing Systems ​

CSCS supports research on sensing and imaging for health care.​ These technologies can be used to prevent, diagnose and treat diseases. Novel sensing research can advance implantable and wearable biomedical devices. It enables personalized medicine and the management of chronic illness. CSCS also invests in quantum sensors for ultra precise measurement and imaging, which promise breakthroughs in biology and medicine.

Communication Systems

CSCS research in communication systems advances 6G and beyond wireless networks and ultra high-speed internet. Research on terahertz wave and optical wave technologies offers far greater bandwidth and speed.​ Uses range from mobile communication and radar to aerospace and manufacturing. As these systems grow into intelligent ecosystems, smarter connectivity and more secure communication become possible.​ A key new area is secure quantum communication systems. CSCS supports research on quantum repeaters, entanglement distribution, and other quantum-based approaches.

Signal Processing ​

The modern world relies on signal processing. It is used in telecommunications, computational imaging, AI, and biotechnology. Signal processing involves techniques that manipulate, analyze, and optimize signals in communication and sensing systems. Techniques bridge hardware and computational algorithms to efficiently transmit, extract, and interpret data. Quantum signal processing represents a new frontier. It builds on phenomena like superposition, entanglement, and quantization to move beyond classical limits in information handling. Such methods allow signals to be processed in multiple states at once, enabling faster computation and better security. Machine learning can further improve signal processing, enabling new applications in sensing, communications, and circuit design.

Circuits and Antennas 

CSCS advances the design of compact and energy-efficient system components. These components are crucial for many parts of everyday life; they make much of today’s AI, communications, energy, transportation, health care, and robotics possible.​ CSCS aims to achieve new capabilities in circuits and antennas for future communications, sensing, AI, and quantum systems. The program’s research spans analog, mixed-signal, and radio-frequency integrated circuits. It includes heterogeneously integrated semiconductor circuits and systems. It also includes brain-inspired circuits.​ New abilities in antenna systems will improve wireless, satellite, and mobile communications; they will also enhance integrated communications, sensing, and power delivery. ​

Together, these fields drive innovation in industry, shaping the future of technology and improving quality of life. ​

Partnerships: To speed discovery and innovation, NSF partners with federal agencies, industry, international groups, and others. Current opportunities are at NSF ENG Partnerships.

This program advances NSF’s mission as given in the NSF organic statute (42 U.S.C. 1861, et seq.).