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An Electrical & Computer Engineering Ph.D. student in the Intelligent Imaging Lab at Purdue University. I obtained my undergraduate degree in Computer Science at Arizona State University, Tempe. Email: last_name.first_name@gmail.com / LinkedIn |
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Ali Almuallem, Harshana Weligampola, Abhiram Gnanasambandam, Wei Xu, Dilshan Godaliyadda, Hamid R. Sheikh, Stanley H. Chan, and Qi Guo. Manuscript (under-review), 2025 ArXiv | PDF An efficient two-stage approach to designing a hybrid optical electronic CNNs. |
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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. |
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Nicholas Chimitt, Ali Almuallem and Stanley H. Chan. SPIE Unconventional Imaging, Sensing, and Adaptive Optics, 2024 A non-iterative method to estimate the wavefront (aberrations) from a single measurement of the PSF. |
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Ali Almuallem An undergraduate class project, 2022-2023 Project paper. Using an INR to reconstruct circular SAS images from sparse measurements. |
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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. |
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Ali Almuallem Summer Research Project, 2022 - 2023 A summer research project with Prof. Wolfgang Heidrich and KAUST |
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- 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. - 2020, AUG: I joined Arizona State University for my undergraduate degree in Computer Science. - 2019, AUG: I joined Seattle Central College to finish my math, physics, and basic general classes. |
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- ECE51300: Digital Camera and Fourier Optics (Grad-level, in-progress, Fall 2025.) - 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.) |
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- Python - Java - C++. - Familiar with: HTML, Javascript, MATLAB, and C. |
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- Reviewer for IEEE ICIP 2025 - 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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