147 citations · 372 across the 16 of their papers we have counts for
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Universal Function Approximation via Diffractive Optical Processors: Physical Limits, Error Bounds, and Learnability
Md Sadman Sakib Rahman, Che-Yung Shen, Aydogan Ozcan
We present a unified theoretical framework connecting classical universal approximation theory, Fourier-feature approximation, and diffractive optical processors. We show that phas…
Breaking the Cascade: Compact Nonlinear Optical Computing with Single-Layer Encoder-Decoder Co-Localization
Yuntian Wang, Alexander Chen, Md Sadman Sakib Rahman +1
We demonstrate that nonlinear computing can be achieved with a single linear diffractive surface under coherent illumination. We introduce a compact encoder-decoder co-localization…
Large-scale nonlinear optical computing with incoherent light via linear diffractive systems
Alexander Chen, Yuntian Wang, Md Sadman Sakib Rahman +2
Nonlinear computation is essential for various information processing tasks. Optical implementations are attractive because passive light propagation can manipulate high-dimensiona…
Compressive single-pixel imaging via a wavelength-multiplexed spatially incoherent diffractive optical processor
Xiao Wang, Yiyang Wu, Yuntian Wang +8
Despite offering high sensitivity, a high signal-to-noise ratio, and a broad spectral range, single-pixel imaging (SPI) is limited by low measurement efficiency and long data-acqui…
Massively parallel and universal approximation of nonlinear functions using diffractive processors
Md Sadman Sakib Rahman, Yuhang Li, Xilin Yang +2
Nonlinear computation is essential for a wide range of information processing tasks, yet implementing nonlinear functions using optical systems remains a challenge due to the weak…
Universal point spread function engineering for 3D optical information processing
Md Sadman Sakib Rahman, Aydogan Ozcan
Point spread function (PSF) engineering has been pivotal in the remarkable progress made in high-resolution imaging in the last decades. However, the diversity in PSF structures at…
Programming of refractive functions
Md Sadman Sakib Rahman, Tianyi Gan, Mona Jarrahi +1
Snell's law dictates the phenomenon of light refraction at the interface between two media. Here, we demonstrate arbitrary programming of light refraction through an engineered mat…
Unidirectional imaging with partially coherent light
Guangdong Ma, Che-Yung Shen, Jingxi Li +8
Unidirectional imagers form images of input objects only in one direction, e.g., from field-of-view (FOV) A to FOV B, while blocking the image formation in the reverse direction, f…
Integration of Programmable Diffraction with Digital Neural Networks
Md Sadman Sakib Rahman, Aydogan Ozcan
Optical imaging and sensing systems based on diffractive elements have seen massive advances over the last several decades. Earlier generations of diffractive optical processors we…
Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor
Jingtian Hu, Kun Liao, Niyazi Ulas Dinc +14
Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resoluti…
Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks
Xilin Yang, Md Sadman Sakib Rahman, Bijie Bai +2
As an optical processor, a Diffractive Deep Neural Network (D2NN) utilizes engineered diffractive surfaces designed through machine learning to perform all-optical information proc…
Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions
Md Sadman Sakib Rahman, Tianyi Gan, Emir Arda Deger +3
Free-space optical systems are emerging for high data rate communication and transfer of information in indoor and outdoor settings. However, free-space optical communication becom…
Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors
Md Sadman Sakib Rahman, Xilin Yang, Jingxi Li +2
Under spatially-coherent light, a diffractive optical network composed of structured surfaces can be designed to perform any arbitrary complex-valued linear transformation between…
Time-lapse image classification using a diffractive neural network
Md Sadman Sakib Rahman, Aydogan Ozcan
Diffractive deep neural networks (D2NNs) define an all-optical computing framework comprised of spatially engineered passive surfaces that collectively process optical input inform…