Ben Wu, Ph.D.

Ben Wu, Ph.D.

Ben Wu, Ph.D.
Associate Professor

Ben Wu, Ph.D.
Electrical & Computer Engineering

Contact Info
(856) 256-5403
Engineering Hall 326

Biography

Website: https://sites.google.com/view/benwulabrowan/

Education:

Postdoctoral Researcher, Electrical Engineering, Princeton University
Ph.D., Electrical Engineering, Princeton University
B.S., Electrical Engineering, Nankai University 

Research Expertise:

Fiber-Optic Communication, Photonic Neural Networks, Optical Imaging

My research is to design and make optical systems and photonic devices for the applications of communication, signal processing and especially neuromorphic computing, as well as microscopic imaging. The photonic methods process signals at the speed of light with low latencies. By using the photonic methods to achieve the functions of artificial neuron network, deep learning algorithm can be performed at high speeds.

Honors and Awards:

Inspira Health Award 2018                                             

Professional Memberships:

IEEE
OSA   
 

Recent Publications:

T. Shi, Y. Qi, and B. Wu*, “Hybrid free space optical communication and radio frequency MIMO system for photonic interference separation,” IEEE Photonics Technology Letters, 34(3), 149 – 152, 2022.
 
T. Shi, Y. Qi, W. Zhang, P. Prucnal, J. Li, and B. Wu*, “Sub-Nyquist optical pulse sampling for photonic blind source separation,” Optics Express, 30(11), 19300-19310, 2022.

J. Garofolo and B. Wu*, “All-Analog Current Repeater for Scalable Photonic Neural Networks,” Frontiers in Optics and Laser Science Conference, Rochester, New York, USA, October 2022.

Y. Qi, J. Li, C. Wei, and B. Wu*, “Free-space optical stealth communication based on wide-band spontaneous emission,” Optica Continuum, 1(11), 2298 – 2307, 2022.

B. Wu*, Y. Tang, C. Qiu, Y. Huang, C. Huang, and P. R. Prucnal, “Secure analysis of optical steganography with spectral signature measurement,” IEEE Photonics Technology Letters, 33 (17), 971 – 974, 2021.