Area of research
Electrical and Electronic Engineering · Artificial Intelligence
Research interest
Research interests include Neural Networks and Reservoir Computing, Photonic and Optical Devices, Optical Network Technologies, and Advanced Optical Imaging Technologies.
All-optical image denoising using a diffractive visual processor
Virtual histological staining of unlabeled autopsy tissue
Multiplane quantitative phase imaging using a wavelength-multiplexed diffractive optical processor
Nonlinear encoding in diffractive information processing using linear optical materials
Pyramid diffractive optical networks for unidirectional image magnification and demagnification
Subwavelength imaging using a solid-immersion diffractive optical processor
All-optical phase conjugation using diffractive wavefront processing
High-throughput terahertz imaging: progress and challenges
Massively parallel universal linear transformations using a wavelength-multiplexed diffractive optical network
Rapid sensing of hidden objects and defects using a single-pixel diffractive terahertz sensor
Universal linear intensity transformations using spatially incoherent diffractive processors
Unidirectional imaging using deep learning–designed materials
Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning
Universal Polarization Transformations: Spatial Programming of Polarization Scattering Matrices Using a Deep Learning‐Designed Diffractive Polarization Transformer
Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network
Computational imaging without a computer: seeing through random diffusers at the speed of light
Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network
Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue using Deep Learning
At the intersection of optics and deep learning: statistical inference, computing, and inverse design
Super-resolution image display using diffractive decoders
Spectrally encoded single-pixel machine vision using diffractive networks
Biopsy-free in vivo virtual histology of skin using deep learning
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
Class-specific differential detection in diffractive optical neural networks improves inference accuracy