The Communications, Circuits, and Sensing-Systems (CCSS) Program supports innovative research in circuit and system hardware and signal processing techniques. The goal is to create new complex and hybrid systems ranging from nano- to macro-scale with innovative engineering principles and solutions for various applications, including healthcare, environmental monitoring, communications, and smart buildings. Key areas of interest include RF circuits and antennas, communication systems and signal processing, and dynamic bio-sensing systems.
• 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
• 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
• 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