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Project 1：Wideband Spectrum Coexistence Enabled by Photonic Circuits
Project 1：Wideband Spectrum Coexistence Enabled by Photonic Circuits
Key Points:
Higher Frequency Interference Cancellation
Hybrid system between optical and free-space communication
Enable coexistence of signals in multi-GHz bandwidth
* This project is supported by NSF SWIFT Program.
Related Publications:
Y. Qi, and B. Wu*, "Wideband photonic interference cancellation based on free space optical communication," Optics Express. (Under Review)
Project 2：Stealth Communiation based on Noise
Project 2：Stealth Communiation based on Noise
Key points:
Key points:
Signal is hidden in ultra-wide band noise.
The noise bandwidth (5THz) is far beyond the speed limmit of any receivers (100GHz).
Signal is lost forever if the noise is not removed appropriatly.
Related Publications:
B. Wu, M. P. Chang, B. J. Shastri, and P. R. Prucnal, "Dispersion deployment and compensation for optical steganography based on noise," IEEE Photonics Technology Letters, 28(4), 421-424 (2016).
B. Wu, B. J. Shastri, P. Mittal, A. N. Tait, and P. R. Prucnal, "Optical signal processing and stealth transmission for privacy," Journal of Selected Topics in Signal Processing, 9(7), 1185-1194 (2015).
B. Wu, A. N. Tait, M. P. Chang, and P. R. Prucnal, "WDM optical steganography based on amplified spontaneous emission noise," Optics Letters, 39(20), 5925-5928 (2014).
B. Wu, B. J. Shastri, and P. R. Prucnal, "System performance measurement and analysis of optical steganography based on noise," IEEE Photonics Technology Letters, 26(19), 1920-1923 (2014).
B. Wu, Z. Wang, B. J. Shastri, M. P. Chang, N. A. Frost, and P. R. Prucnal, "Temporal phase mask encr
ypted optical steganography carried by amplified spontaneous emission noise," Optics Express, 22 (1), 954-961 (2014).
Project 3: 3D Microscope Reconstruction based on Structured Light
Project 3: 3D Microscope Reconstruction based on Structured Light
Key points:
Key points:
Structured Light based 3D reconstruction algorithm
Micro-scene 3D reconstruction
Greatly descease reconstruction time from 2s (traditional confocal microscopy) to less than 1s while maintain great resolution about 20μm and working distance about 8cm
Project 4: Photonic Neural Networks for Deep Learning
Project 4: Photonic Neural Networks for Deep Learning
Key points:
Key points:
Deep learning Network Design
Analog Machine learning Circuit
Optical Neural Network Processor
Offline Deep learning Processor
Project 5: Selective Disinfection Against COVID-19 Based on Directional Ultraviolet Irradiation and Artificial Intelligence
Project 5: Selective Disinfection Against COVID-19 Based on Directional Ultraviolet Irradiation and Artificial Intelligence
UV Laser Quick scan Demo
UV Laser Slow scan Demo
Related Publications:
[1] B. Zierdt, T. Degroat, S. Furman, N. Papas, Z. Smoot, H. Zhang, T. Shi, and B. Wu*, "Selective disinfection against Covid-19 based on directional ultraviolet irradiation and artificial intelligence," Electronics, 10(20), 2557 (2021).
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