Ahmed
Mahmoud
Portrait of Ahmed Mahmoud

I am a Postdoctoral Associate at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), working with Professors Jonathan Ragan-Kelley and Justin Solomon. My research focuses on high-performance systems for irregular computation. I design algorithms, data structures, and programming abstractions that make sparse and unstructured workloads efficient on modern parallel hardware, with applications in scientific computing, optimization, automatic differentiation, machine learning, and geometric computing..

Prior to joining MIT, I was a Senior Research Scientist at Autodesk Research in Toronto, Canada, from 2021 to 2024. In 2024, I earned my Ph.D. in Electrical and Computer Engineering from the University of California, Davis, under the supervision of Professor John D. Owens, and received an M.Sc. from the same department in 2020. I obtained my B.Sc. in Marine Engineering and Naval Architecture from Alexandria University, Egypt, in 2013.

Publications
Locality-Aware Automatic Differentiation on the GPU for Mesh-Based Computations
Ahmed H. Mahmoud, Rahul Goel, Jonathan Ragan-Kelley, and Justin Solomon
ACM Transactions on Graphics, 2026 (SIGGRAPH 2026)
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Fast Sparse Matrix Permutation for Mesh-Based Direct Solvers
Behrooz Zarebavani*, Ahmed H. Mahmoud*, Ana Dodik, Changcheng Yuan, Serban D. Porumbescu, John D. Owens, Maryam Mehri Dehnavi, and Justin Solomon
* Equal Contribution
Proceedings of the SIGGRAPH 2026 Conference
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Iskra: A System for Inverse Geometry Processing
Ana Dodik, Ahmed H. Mahmoud, and Justin Solomon
ACM Transactions on Graphics, 2026 (SIGGRAPH 2026)
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Low-Rank Adaptation of Neural Fields
Anh Truong, Ahmed H. Mahmoud, Mina Konaković Luković, and Justin Solomon
Proceedings of the SIGGRAPH Asia 2025 Conference
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Dynamic Mesh Processing on the GPU
Ahmed H. Mahmoud, Serban D. Porumbescu, and John D. Owens
ACM Transactions on Graphics, 2025 (SIGGRAPH 2025)
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Disaggregated Design for GPU-Based Volumetric Data Structures
Massimiliano Meneghin and Ahmed H. Mahmoud
31st International European Conference on Parallel and Distributed Computing (Euro-Par 2025)
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Unstructured Geometric Data Processing on the GPU: Data Structures & Programming Models
Ahmed H. Mahmoud
PhD dissertation, University of California, Davis 2024
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Optimized GPU Implementation of Grid Refinement in Lattice Boltzmann Method
Ahmed H. Mahmoud, Hesam Salehipour, Massimiliano Meneghin
International Parallel and Distributed Processing Symposium (IPDPS 2024)
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Neon: A Multi-GPU Programming Model for Grid-based Computations
Massimiliano Meneghin*, Ahmed H. Mahmoud*, Pradeep Kumar Jayaraman, and Nigel J. W. Morris
* Equal Contribution
International Parallel and Distributed Processing Symposium (IPDPS 2022)
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RXMesh: A GPU Mesh Data Structure
Ahmed H. Mahmoud, Serban D. Porumbescu, and John D. Owens
ACM Transactions on Graphics, 2021 (SIGGRAPH 2021)
SLIDES SHORT TALK Full TALK BIB CODE PDF
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VoroCrust: Voronoi Meshing Without Clipping
Ahmed Abdelkader, Chandrajit Bajaj, Mohamed Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, and Ahmad Rushdi
Author names are listed in alphabetical order
ACM Transactions on Graphics, 2020 (SIGGRAPH 2020)
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VoroCrust Illustrated: Theory and Challenges (Multimedia Exposition)
Ahmed Abdelkader, Chandrajit Bajaj, Mohamed Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, and Ahmad Rushdi
Symposium on Computational Geometry (SoCG 2018)
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Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm
Ahmed Abdelkader, Chandrajit Bajaj, Mohamed Ebeida, Ahmed H. Mahmoud, Scott A. Mitchell, John D. Owens, and Ahmad Rushdi
Symposium on Computational Geometry (SoCG 2018)
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A Constrained Resampling Strategy for Mesh Improvement
Ahmed Abdelkader*, Ahmed H. Mahmoud*, Ahmad A. Rushdi, Scott A. Mitchell, John D. Owens, and Mohamed S. Ebeida
* Equal Contribution
Symposium on Geometry Processing (SGP 2017)
SLIDES BIB CODE PDF
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All-Quad Meshing without Cleanup
Ahmad A. Rushdi, Ahmed H. Mahmoud, Scott A.Mitchell, Chandrajit C.Bajaj, Mohamed S.Ebeida
International Meshing Roundtable Special Issue: Advances in Mesh Generation
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Disk Density Tuning of a Maximal Random Packing
Mohamed S. Ebeida, Ahmad Rushdi, Muhammad A. Awad, Ahmed H. Mahmoud, Dong-Ming Yan, Shawn English, John D. Owens, Chandrajit Bajaj, and Scott A. Mitchell
Symposium on Geometry Processing (SGP 2016)
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Book Chapter: Exercises in High-Dimensional Sampling: Maximal Poisson-disk Sampling and k-d Darts
Mohamed S. Ebeida, Scott A. Mitchell, Anjul Patney, Andrew A. Davidson, Stanley Tzeng, Muhammad A. Awad, Ahmed H. Mahmoud, and John D. Owens
Topological and Statistical Methods for Complex Data — Tackling Large-Scale, High-Dimensional, and Multivariate Data Sets
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Delaunay Quadrangulation by Two-coloring Vertices
Scott A. Mitchell, Mohammed A. Mohammed, Ahmed H. Mahmoud, and Mohamed S. Ebeida
International Meshing Roundtable (IMR 2014)
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Improving Spatial Coverage while Preserving the Blue Noise of Point Sets
Mohamed S. Ebeida, Muhammad A. Awad, Xiaoyin Ge, Ahmed H. Mahmoud, Scott A. Mitchell, Patrick M. Knupp and Li-Yi Wei
SIAM Conference on Geometric and Physical Modeling (GD/SPM 2013)
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Sifted Disks
Mohamed S. Ebeida, Ahmed H. Mahmoud, Muhammad A. Awad, Mohammed A. Mohammed, Scott A. Mitchell, Alex Rand, and John D. Owens
Eurographics 2013
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