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.
Diffractive optical computing in free space
Plasmonic photoconductive terahertz focal-plane array with pixel super-resolution
All-optical image denoising using a diffractive visual processor
Pyramid diffractive optical networks for unidirectional image magnification and demagnification
Snapshot multispectral imaging using a diffractive optical network
Data‐Class‐Specific All‐Optical Transformations and Encryption
Quantitative phase imaging (QPI) through random diffusers using a diffractive optical network
Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network
Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network
All‐Optical Phase Recovery: Diffractive Computing for Quantitative Phase Imaging
To image, or not to image: class-specific diffractive cameras with all-optical erasure of undesired objects
At the intersection of optics and deep learning: statistical inference, computing, and inverse design
Super-resolution image display using diffractive decoders
Cascadable all-optical NAND gates using diffractive networks
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
Spectrally encoded single-pixel machine vision using diffractive networks
All-optical information-processing capacity of diffractive surfaces
Design of task-specific optical systems using broadband diffractive neural networks
Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks
Class-specific differential detection in diffractive optical neural networks improves inference accuracy
Misalignment resilient diffractive optical networks