Experience

Employment history

 
 
 
 
 

Research Scientist

King Abdullah University of Science and Technology

May 2017 – Present Thuwal, Saudi Arabia
 
 
 
 
 

Research Associate Professor

Shanghaitech University

May 2016 – Jan 2017 Shanghai, China
 
 
 
 
 

Postdoctoral Research Fellow

King Abdullah University of Science and Technology

May 2014 – May 2016 Thuwal, Saudi Arabia
 
 
 
 
 

Assistant Research Fellow

Academy of Opto-Electronics, Chinese Academy of Sciences

Jul 2012 – May 2014 Beijing, China

News

Recent Posts

Publications

We propose and demonstrate a linearized model for phase diversity wavefront sensing, facilitating real-time processing and much less data required for training.

We propose a self-supervised method tailored for coded aperture snapshot spectral imaging (CASSI).

We propose a comparative analysis of DOEs fabricated by multi-level photolithography and grayscale lithography.

We show that significant limitations exist arising from the lack of diversity in the prevailing hyperspectral image datasets.

We employ B-spline parameterization for the DOE surface geometry representation for RGBD imaging.

We present DeepLens, a method to learn optical designs of compound lenses ab initio from randomly initialized surfaces without human intervention.

We propose a method to split conventional camera apertures into two halves along with a dual-pixel sensor for various computational imaging applications.

We propose an alternative method for fabricating DOEs without RIE lag and with improved surface smoothness.

We explore the use of hexagonal grids as a new grid structure for DOE design and fabrication.

We propose a new way to fabricate multi-level DOEs by directly growing an optically transparent material on a glass substrate.

We explore bridging the gap between aberrations and depth-from-focus through aberration-aware training (AAT).

We propose a generalized Fourier-based PDWS method by combining an object-independent network with a system-independent image processing procedure.

We propose an end-to-end joint optimization method to learn a DOE placed in front of a projector lens and a compensation network for deblurring.

We propose a lensless camera with an optimized Voronoi-Fresnel phase by maximizing the Modulation Transfer Function volume.

We propose an effective neural network based on low-frequency coefficients in the Fourier domain to determine a better estimate of the unknown aberrations.

The NRC Canada is funding two projects, the SPIDERS pathfinder at the Subaru telescope (ETA 2023), and the CAL2 upgrade of the Gemini Planet Imager-2 (ETA 2024), to deploy a modified self-coherent camera (based on FAST) to measure the focal plane electric field, and to apply wavefront corrections in a closed-loop down to 10s of ms in a narrow band.

We present here results from NRC’s NEW-EARTH lab testing of the Fast Atmospheric SCC Technique, a variant of the SCC and its integration with a Lyot-stop Low-Order Wavefront Sensor.

We present LLOWFS closed-loop laboratory results under simulated post-Adaptive Optics residuals of GPI 2.0 and simulations of the LLOWFS and FAST sensors for SPIDERS

We propose a monocular single-shot imaging approach that optically cloaks obstructions by emulating a large array.

We propose a fully differentiable optical design method for lens design.

We present a thorough investigation of more than 25 state-of-the-art spectral reconstruction methods.

This review reports the latest methods, algorithms, and applications in computational imaging.

We introduce a new dataset synthesis method as well as a novel neural network architecture for single image reflection removal.

We propose an additive lithographic fabrication process to realize simultaneous micrometer and millimeter features.

We propose an etch-free additive lithographic fabriction method for versatile reflective and transmissive DOEs.

We propose a deep unrolling network to examine the problem of illumination spectra estimation in multispectral images.

We propose a general end-to-end complex lens design framework enabled by a differentiable ray tracing image formation model.

We propose a joint design for snapshot HDR imaging with a spatially varying modulation mask.

We propose a polarization demosaicking algorithm for both monochrome and colour DoFP cameras.

We porpose a combinatory method to improve phase retrieval performance.

We present a valid polarization-based reflection contaminated image synthesis method.

We propose a method for snapshot HDR imaging by learning an optical HDR encoding with a DOE in a single image.

We demonstrate a quantitative imaging of phase and bright field amplitude using collimated white light illumination.

We propose a polarization demosaicking algorithm for both monochrome and color DoFP cameras.

We propose an approach for HDR image reconstruction using a spatially-varying mask and an inception network.

We propose a snapshot hyperspectral imaging system that employs a diffractive optical element and an end-to-end network.

We propose a new formula to connect between slopes wavefront sensors and curvature sensors.

We demonstrate an adaptive optics system for regular cameraswith unprecedented capability to sense and correct large distortions.

We propose a system to create high‐quality 1080p live MR footage, enabling realistic virtual experiences to be shared among a number of people.

We propose a reconfigurable rainbow PIV system that extends the volume size to a considerable range.

We describe how scene depth can be extracted using a hyperspectral light field capture (H-LF) system.

We present a single camera hyperspectral light field imaging solution with spectral coded catadioptric mirror arrays.

We introduce a Coded Wavefront Sensor that provides high spatio-temporal resolution using a simple masked sensor, under white light illumination.

We propose a mixed reality system that overlays the virtual world with real world objects captured by a Kinect depth camera.

We propose an improved particle swarm optimization method of ultra-thin diffractive optical elements design for multicolour beam shaping.

We introduce numerically optimized encoded phase masks for focus and zoom through changes in the mechanical alignment.

We introduce a diffractive achromat based on computational optimization and a corresponding algorithm for correction of residual aberrations.

We jointly design lightweight diffractive-refractive optics and post-processing algorithms to enable imaging under white light illumination.

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