Experience

Employment history

 
 
 
 
 

Senior Research Scientist

King Abdullah University of Science and Technology

Jan 2026 – Present Thuwal, Saudi Arabia
 
 
 
 
 

Research Scientist

King Abdullah University of Science and Technology

May 2017 – Dec 2025 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

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We present a real-time gaze tracking system that directly acquires task-relevant latent features using a fully passive optical encoder.
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We propose a task-driven lens design framework that freezes a pretrained vision model and optimizes only the optics to stably learn lenses tailored to the model’s feature preferences.
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We propose a fabrication technique for harmonic Fresnel lenses by combining grayscale lithography and soft nanoimprinting.
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We systematically analyze data-driven spectral reconstruction from RGB images and show that fundamental limitations exist arising from the lack of metamerism and diversity in the existing hyperspectral image datasets.
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We propose a fabrication-aware design pipeline for diffractive optics fabricated by direct-write grayscale lithography followed by nano-imprinting replication
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We propose a hybrid lens design by positioning a DOE off-aperture to optimize image quality for large field-of-view.
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We introduce a new paradigm that combines optics and software to encode image information directly into the semantically rich latent space of a generative model.
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We presents a hardware-software co-designed RGBD imaging framework to reconstruct texture-rich color images along with detailed depth maps over a wide depth range.
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We introduced a fully automated lens design algorithm that uses deep optics and differentiable ray tracing.
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We introduced a fully automated lens design algorithm that uses deep optics and differentiable ray tracing.
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We propose a new hybrid ray-tracing and wave-propagation (ray-wave) model for accurate simulation of both optical aberrations and diffractive phase modulation.
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We propose and demonstrate a linearized model for phase diversity wavefront sensing, facilitating real-time processing and much less data required for training.
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We propose a self-supervised method tailored for coded aperture snapshot spectral imaging (CASSI).
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We propose a comparative analysis of DOEs fabricated by multi-level photolithography and grayscale lithography.
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We show that significant limitations exist arising from the lack of diversity in the prevailing hyperspectral image datasets.
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We employ B-spline parameterization for the DOE surface geometry representation for RGBD imaging.
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We present DeepLens, a method to learn optical designs of compound lenses ab initio from randomly initialized surfaces without human intervention.
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We propose a method to split conventional camera apertures into two halves along with a dual-pixel sensor for various computational imaging applications.
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We propose an alternative method for fabricating DOEs without RIE lag and with improved surface smoothness.
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We explore the use of hexagonal grids as a new grid structure for DOE design and fabrication.
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We propose a new way to fabricate multi-level DOEs by directly growing an optically transparent material on a glass substrate.
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We explore bridging the gap between aberrations and depth-from-focus through aberration-aware training (AAT).
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We propose a generalized Fourier-based PDWS method by combining an object-independent network with a system-independent image processing procedure.
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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.
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We propose a lensless camera with an optimized Voronoi-Fresnel phase by maximizing the Modulation Transfer Function volume.
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We propose an effective neural network based on low-frequency coefficients in the Fourier domain to determine a better estimate of the unknown aberrations.
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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.
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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.
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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
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We propose a monocular single-shot imaging approach that optically cloaks obstructions by emulating a large array.
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We propose a fully differentiable optical design method for lens design.
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We present a thorough investigation of more than 25 state-of-the-art spectral reconstruction methods.
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This review reports the latest methods, algorithms, and applications in computational imaging.
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We introduce a new dataset synthesis method as well as a novel neural network architecture for single image reflection removal.
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We propose an additive lithographic fabrication process to realize simultaneous micrometer and millimeter features.
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We propose an etch-free additive lithographic fabriction method for versatile reflective and transmissive DOEs.
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We propose a deep unrolling network to examine the problem of illumination spectra estimation in multispectral images.
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We propose a general end-to-end complex lens design framework enabled by a differentiable ray tracing image formation model.
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We propose a joint design for snapshot HDR imaging with a spatially varying modulation mask.
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We propose a polarization demosaicking algorithm for both monochrome and colour DoFP cameras.
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We porpose a combinatory method to improve phase retrieval performance.
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We present a valid polarization-based reflection contaminated image synthesis method.
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We propose a method for snapshot HDR imaging by learning an optical HDR encoding with a DOE in a single image.
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We demonstrate a quantitative imaging of phase and bright field amplitude using collimated white light illumination.
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We propose a polarization demosaicking algorithm for both monochrome and color DoFP cameras.
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We propose an approach for HDR image reconstruction using a spatially-varying mask and an inception network.
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We propose a snapshot hyperspectral imaging system that employs a diffractive optical element and an end-to-end network.
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We propose a new formula to connect between slopes wavefront sensors and curvature sensors.
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We demonstrate an adaptive optics system for regular cameraswith unprecedented capability to sense and correct large distortions.
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We propose a system to create high‐quality 1080p live MR footage, enabling realistic virtual experiences to be shared among a number of people.
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We propose a reconfigurable rainbow PIV system that extends the volume size to a considerable range.
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We describe how scene depth can be extracted using a hyperspectral light field capture (H-LF) system.
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We present a single camera hyperspectral light field imaging solution with spectral coded catadioptric mirror arrays.
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We introduce a Coded Wavefront Sensor that provides high spatio-temporal resolution using a simple masked sensor, under white light illumination.
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We propose a mixed reality system that overlays the virtual world with real world objects captured by a Kinect depth camera.
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We propose an improved particle swarm optimization method of ultra-thin diffractive optical elements design for multicolour beam shaping.
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We introduce numerically optimized encoded phase masks for focus and zoom through changes in the mechanical alignment.
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We introduce a diffractive achromat based on computational optimization and a corresponding algorithm for correction of residual aberrations.
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We jointly design lightweight diffractive-refractive optics and post-processing algorithms to enable imaging under white light illumination.

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