Ali Almuallem - Computer Vision | Computational Imaging

Ali Almuallem

An Electrical & Computer Engineering Ph.D. student in the Intelligent Imaging Lab at Purdue University, advised by Prof. Stanley H. Chan.

I obtained my undergraduate degree in Computer Science at Arizona State University, Tempe.

Email: last_name.first_name@gmail.com / LinkedIn

Research Interests

I work on problems in the Computational Imaging and Computer Vision fields. Much of my research focuses on wavefront estimation, where I improve the estimation and correction of optical aberrations. I also work on opto-electronic imaging systems and phase modulation using metasurfaces for downstream tasks like depth estimation. Consequently, my research contributes to making imaging systems more efficient and aberration-free.

Manuscripts and Puplications

	Pupil Design for Computational Wavefront Estimation Ali Almuallem, Nicholas Chimitt, Bole Ma, Qi Guo and Stanley H. Chan Manuscript (under-review), 2026 ArXiv \| PDF What kind of pupils gives the best recoverability of an aberrated wavefront? Proposing a new metric to design pupils for computational wavefront estimation.
	Direct Kernel Optimization: Efficient Design for Opto-Electronic Convolutional Neural Networks Ali Almuallem, Harshana Weligampola, Abhiram Gnanasambandam, Wei Xu, Dilshan Godaliyadda, Hamid R. Sheikh, Stanley H. Chan, and Qi Guo. Manuscript (under-review), 2026 ArXiv \| PDF An efficient two-stage approach to designing a hybrid optical electronic CNNs with a metasurface array front-end.
	Wavefront Estimation From a Single Measurement: Uniqueness and Algorithms Nicholas Chimitt, Ali Almuallem, Qi Guo, and Stanley H. Chan. IEEE Transactions on Computational Imaging, 2025 ArXiv \| Project page Toward real-time wavefront estimation from a single measurement for adaptive optics.
	Phase Retrieval of a Point Spread Function Nicholas Chimitt, Ali Almuallem and Stanley H. Chan. SPIE Unconventional Imaging, Sensing, and Adaptive Optics, 2024 PDF A non-iterative method to estimate the wavefront (aberrations) from a single measurement of the PSF.

Undergrad Research Expereinces

INSAS: Implicit Neural Synthetic Aperture Sonar, using INRs to reconstruct sonar images from sparse measurements
Ali Almuallem
An undergraduate class project, 2022-2023
Project paper.

Using an INR to reconstruct circular SAS images from sparse measurements.

Using Batched Rays to Enable Higher Resolution Reconstruction of Computed Tomography
Ali Almuallem, Albert Reed, Suren Jayasuriya
Fulton Undergraduate Research Initiative (FURI), 2022.
Project page / Poster

We proposed a method to overcome the memory bottlenick when working with INRs for Computed Tomography reconstruction tasks.

Frequency-based Implicit Neural Rendering
Ali Almuallem
Summer Research Project, 2022 - 2023

A summer research project with Prof. Wolfgang Heidrich and KAUST

Latest Updates

- 2025, Sep: Our paper Wavefront Estimation From a Single Measurement: Uniqueness and Alorithms was accepted in IEEE Transactions on Computational Imaging.

- 2023, AUG: I joined the Intelligent Imaging Lab at Purdue University as a doctoral student with Prof. Stanley H. Chan.

- 2023, APR: I was awarded the Inspiring Global Citizen Award by ASU for the graduating class of spring 2023.

- 2022, DEC: I was selected for and was awarded the FURI research funding for spring 2023.

- 2022, MAY: I started a research internship with Prof. Wolfgang Heidrich.

- 2022, APR: I presented my work on batched rays CT in the FURI symposium. Project | Image

- 2021, DEC: I was selected for and was awareded the FURI research funding for spring 2022.

- 2021, AUG: I joined the Imaging Lyceum Lab at ASU to work with Prof. Suren Jayasuriya

- 2021, JUN: I was selected to participate in the SSI summer research internship with Prof. Peter Wonka at KAUST.

Notable Classes

- ECE51300: Digital Camera and Fourier Optics (Grad-level)

- STAT59800: Machine Learning (Grad-level)

- ECE60146: Deep Learning (Grad-level)

- ECE66100: Computer Vision (Grad-level)

- EEE598: Physics-based Computer Vision (Grad-level at ASU.)

- EEE598: Remote Sensing and Synthetic Aperture Imaging (Grad-level at ASU.)

- CSE499: Independent research in Computed Tomography reconstruction using Implicit Neural Representations. (at ASU.)

Languages

- Python

- Java

- C++.

- Familiar with: HTML, Javascript, MATLAB, and C.

Research Comunity Service

- Reviewer for IEEE ICIP 2025, 2026.

- Reviewer for Optica Publishing Group journal.

- Reviewer for IEEE ICASSP2025

- Reviewer for IEEE CVPR 2024: 7th Workshop and Challenge Bridging the Gap between Computational Photography and Visual Recognition (UG2+)

~3500M ASL, Mount Kilimanjaro, Tanzania . June 2019. (c) Ali Almuallem.

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