Bio-inspired RF/EO (radio frequency/electro-optics) systems incorporate intelligent information processing (IIP) to identify novel signal processing applications ranging from detection to image identification. Bio-inspired IIP focuses on mixed-signal processing (analog and digital), coherent source, wavelets, millimeter wave, THz, polymorphic, self-organization, self-assembly, nanoprocessors, and nanosystems of systems architectures to enable real-time information extraction and context processing. The objective of this research is to address a broad spectrum of information fusion, algorithms, and embedded processing for developing IIP of RF/EO architectures.

Henderson, S. D. Harbour, C. Yakopcic, T. M. Taha, D. Brown, J. Tieman, and G. Hall, "Spiking Neural Networks for LPI Radar Waveform Recognition with Neuromorphic Computing," in 2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6.

D. Griffiths, M. Jahangir, J. Kannanthara, G. Donlan, C. J. Baker, M. Antoniou, and Y. Singh, "Fully digital, urban networked staring radar: Simulation and experimentation," IET Radar, Sonar & Navigation, vol. 18, no. 1, pp. 41–55, 2024,

J. López-Randulfe, T. Duswald, Z. Bing, and A. Knoll, "Spiking Neural Network for Fourier Transform and Object Detection for Automotive Radar," Front. Neurorobot., vol. 15, Art. no. 688344, Jun. 2021

 

Bio-inspired; Radar; Electro-optics; Real time; Mixed signal; Wavelets; Polymorphic; Fusion algorithm; Context processing; Nanosystem; image processing; Radio frequency signal processing; Millimeter wave; Microwave; THz;

citizenship

Open to U.S. citizens

level

Open to Postdoctoral and Senior applicants

Additional Benefits

relocation

Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.

health insurance

A group health insurance program is available to awardees and their qualifying dependents in the United States.