Communications, Circuits, and Sensing-Systems
The summary for the Communications, Circuits, and Sensing-Systems grant is detailed below.
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Communications, Circuits, and Sensing-Systems: The Communications, Circuits, and Sensing-Systems (CCSS) Program supports innovative research in circuit and system hardware and signal processing techniques. CCSS also supports system and network architectures for communications and sensing to enable the next-generation cyber-physical systems (CPS) that leverage computation, communication, and sensing integrated with physical domains. CCSS invests in micro- and nano-electromechanical systems (MEMS/NEMS), physical, chemical, and biological sensing systems, neurotechnologies, and communication & sensing circuits and systems. The goal is to create new complex and hybrid systems ranging from nano- to macro-scale with innovative engineering principles and solutions for a variety of applications including but not limited to healthcare, medicine, environmental and biological monitoring, communications, disaster mitigation, homeland security, intelligent transportation, manufacturing, energy, and smart buildings. CCSS encourages research proposals based on emerging technologies and applications for communications and sensing such as high-speed communications of terabits per second and beyond, sensing and imaging covering microwave to terahertz frequencies, personalized health monitoring and assistance, secured wireless connectivity and sensing for the Internet of Things, and dynamic-data-enabled autonomous systems through real-time sensing and learning. Areas managed by CCSS Program Directors (please contact Program Directors listed in the CCSS staff directory for areas of interest): RF Circuits and Antennas for Communications and Sensing RF Communications and Sensing Technologies from kHz to THz Antennas and Wave Propagation for Communications and Sensing Circuits and Systems for Secured Communications and Sensing Trusted Microelectronic Circuits RF Biomedical Applications and Remote Sensing Bio-mimetic Circuits and Systems Dynamic-data-enabled Reconfigurable RF Subsystems through Sensing and Machine Learning Wireless Energy Transfer and RF Energy Harvesting Communication Systems and Signal Processing Wireless, Optical, and Hybrid Communications and Networking Full-duplex, massive MIMO, mm-Wave, and THz communications Spectrum Access and Sharing Integrated Sensing, Communication, and Computational Systems Signal Processing, image processing, and Compressive Sampling Cyber Physical Systems and Hardware-controlled Secured Communications Dynamic-data-enabled Communication Systems through Sensing and Machine Learning Quantum Communication Systems Dynamic Bio-Sensing Systems Micro, Nano, and Bio Systems (MEMS/NEMS) Chemical, Biological, and Physical Diagnostics Sensors, Actuators, and Electronic Interfaces Ultra-Low Power Wearable and Implantable Sensing Systems Dynamic-data-enabled Reconfigurable Sensing Systems Personalized Health Monitoring Systems through Sensing and Machine Learning Neuroengineering and Brain-Inspired Concepts and Designs
Federal Grant Title: | Communications, Circuits, and Sensing-Systems |
Federal Agency Name: | National Science Foundation (NSF) |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | PD-18-7564 |
Type of Funding: | Grant |
CFDA Numbers: | 47.041 |
CFDA Descriptions: | Information not provided |
Current Application Deadline: | April 14th, 2023 |
Original Application Deadline: | April 14th, 2023 |
Posted Date: | February 17th, 2023 |
Creation Date: | February 17th, 2023 |
Archive Date: | May 14th, 2023 |
Total Program Funding: | |
Maximum Federal Grant Award: | |
Minimum Federal Grant Award: | |
Expected Number of Awards: | |
Cost Sharing or Matching: | No |
Last Updated: | February 17th, 2023 |
- Applicants Eligible for this Grant
- Unrestricted (i.e., open to any type of entity below), subject to any clarification in text field entitled "Additional Information on Eligibility"
- Link to Full Grant Announcement
- NSF Program Desccription PD-18-7564
- Grant Announcement Contact
- NSF grants.gov support
grantsgovsupport@nsf.gov
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