Division of Electrical, Communications and Cyber Systems
Communications, Circuits, and Sensing-Systems (CCSS)
|Shubhra Gangopadhyayfirstname.lastname@example.org||(703) 292-8339|
|Jenshan Linemail@example.com||(703) 292-8339|
|Akbar Sayeedfirstname.lastname@example.org||(703) 292-4753|
Apply to PD 18-7564 as follows:
For full proposals submitted via FastLane: standard NSF Proposal & Award Policies & Procedures Guide proposal preparation guidelines apply.
For full proposals submitted via Grants.gov: the NSF Grants.gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines applies. (Note: The NSF Grants.gov Application Guide is available on the Grants.gov website and on the NSF website at: http://www.nsf.gov/publications/pub_summ.jsp?ods_key=grantsgovguide)
Important Information for Proposers
ATTENTION: Proposers using the Collaborators and Other Affiliations template for more than 10 senior project personnel will encounter proposal print preview issues. Please see the Collaborators and Other Affiliations Information website for updated guidance.
A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 18-1), is effective for proposals submitted, or due, on or after January 29, 2018. Please be advised that, depending on the specified due date, the guidelines contained in NSF 18-1 may apply to proposals submitted in response to this funding opportunity.
Full Proposal Window
October 1, 2018 - November 1, 2018
October 1 - November 1, Annually Thereafter
ECCS Submission Window
Supplement Deadline Date
April 1, 2019
April 1, Annually Thereafter
ECCS REU/RET Supplements
Please read ECCS Proposal Window and Submission Information for further details and exceptions regarding full proposal submissions to the Division.
The Division deadline for Research Experiences for Undergraduates (REU) and Research Experience for Teachers (RET) Supplements is April 1st unless this date occurs on a federal holiday or weekend. Please note: The ECCS Division has established an $8,000.00 REU limit per student. Please contact your Program Director for further details.
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