Communications, Circuits, and Sensing-Systems
U.S. National Science Foundation · Other Federal · PD-18-7564
Source: Grants.gov · View original posting ↗
- AwardWhat a single award can be worth — the funder's published per-award amount or floor–ceiling range.
- Amount not listed
- DeadlineFinal application due date.
- Not set
- Letter of intentDue date for the letter of intent (a short pre-application some funders require or request before the full proposal).
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- MechanismNIH activity code — the grant type (R01 research project, R21 exploratory, K series career development, F series fellowship, …).
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- DurationMaximum project period for a single award.
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- Expected awardsHow many awards the funder anticipates making under this opportunity.
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- Funding cycleHow often the program accepts applications (annual, multiple cycles per year, rolling, or one-time).
- Unknown
- Open dateWhen applications open (or opened).
- Feb 17, 2023
- Total fundingThe overall pool the funder expects to commit across ALL awards under this opportunity — not what one project receives.
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- Clinical trialWhether proposed projects must, may, or must not include a clinical trial.
- Unspecified
Research areas
Auto-classified from the title and description (keyword-based) — may be imperfect.
Description
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
Data notes: award amount not published in the source feed.