Reem Ali Alghamdi

PhD student, Computer Science

Hello :) I am a CS PhD student at the High-Performance Visualization Group, King Abdullah University of Science and Technology. My advisor is Professor Markus Hadwiger. My research interests are Scientific Visualization and GPU Programming.

News

2023-03-30	Our paper Doppler Volume Rendering was accepted at EuroVis 2023! See you all soon at Leipzig, Germany 🥳
2022-04-04	My MS thesis ArMATH was accepted at LREC 2022!
2022-01-09	I started my PhD journey :D
2021-12-17	I earned an MS degree in computer science from KAUST

Publications

Doppler Volume Rendering: A Dynamic, Piecewise Linear Spectral Representation for Visualizing Astrophysics

Reem Alghamdi, Thomas Müller, Alberto Jaspe-Villanueva, Markus Hadwiger, Filip Sadlo

Computer Graphics Forum (Proceedings Eurographics/IEEE Symposium on Visualization, Eurovis 2023), 2023

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We present a novel approach for rendering volumetric data including the Doppler effect of light, which is crucial for the case of very high velocities of the matter that is emitting light. Similar to the acoustic Doppler effect, which is caused by the relative movement between a sound emitter and an observer, light waves as electromagnetic radiation also experience a compression or expansion when the light emitter and an observer move relative to one another. To take this effect into account, we employ spectral volume rendering in an emission/absorption model, with voxels emitting and attenuating light at different wavelengths. Our approach enables accurate computation of the Doppler effect of light in realtime volume rendering, with relative motion provided by an additional 3D velocity vector field. In particular, we propose a new representation for light spectra that uses a dynamic set of piecewise linear basis functions, tailored to accurate and efficient evaluation of the Doppler effect in volume rendering. Our basis functions are used during light accumulation along viewing rays to achieve higher efficiency and accuracy compared to point-based spectral representations. Our method is particularly useful for analyzing astrophysical simulations.
@article{alghamdi-etal-2023-doppler, title = {Doppler Volume Rendering: A Dynamic, Piecewise Linear Spectral Representation for Visualizing Astrophysics}, author = {Alghamdi, Reem and Müller, Thomas and Jaspe-Villanueva, Alberto and Hadwiger, Markus and Sadlo, Filip}, journal = {Computer Graphics Forum (Proceedings Eurographics/IEEE Symposium on Visualization, Eurovis 2023)}, volume = {42}, number = {3}, pages = {to appear}, year = {2023}, }
ArMATH
ArMATH: a Dataset for Solving Arabic Math Word Problems

Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang

In Proceedings of the Thirteenth Language Resources and Evaluation Conference, Jun 2022

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This paper studies solving Arabic Math Word Problems by deep learning. A Math Word Problem (MWP) is a text description of a mathematical problem that can be solved by deriving a math equation to reach the answer. Effective models have been developed for solving MWPs in English and Chinese. However, Arabic MWPs are rarely studied. This paper contributes the first large-scale dataset for Arabic MWPs, which contains 6,000 samples of primary-school math problems, written in Modern Standard Arabic (MSA). Arabic MWP solvers are then built with deep learning models and evaluated on this dataset. In addition, a transfer learning model is built to let the high-resource Chinese MWP solver promote the performance of the low-resource Arabic MWP solver. This work is the first to use deep learning methods to solve Arabic MWP and the first to use transfer learning to solve MWP across different languages. The transfer learning enhanced solver has an accuracy of 74.15%, which is 3% higher than the solver without using transfer learning. We make the dataset and solvers available in public for encouraging more research of Arabic MWPs: https://github.com/reem-codes/ArMATH
@inproceedings{alghamdi-etal-2022-armath, title = {{A}r{MATH}: a Dataset for Solving {A}rabic Math Word Problems}, author = {Alghamdi, Reem and Liang, Zhenwen and Zhang, Xiangliang}, booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference}, month = jun, year = {2022}, address = {Marseille, France}, publisher = {European Language Resources Association}, url = {https://aclanthology.org/2022.lrec-1.37}, pages = {351--362} }

Research Experience

2022 - Present
Graduate Student Researcher

King Abdullah University of Science and Technology, Saudi Arabia
- Advisor: Prof. Markus Hadwiger
- Reseach focus: Scientific visualization and GPU programming
2021 - 2021
Graduate Student Researcher

King Abdullah University of Science and Technology, Saudi Arabia
- Advisor: Prof. Xiangliang Zhang
- Reseach focus: deep learning, natural language processing, transfer learning, math word problems

Teaching Experience

SPR22, SPR23

CS247 - Scientific Visualization (TA)

King Abdullah University of Science and Technology, Saudi Arabia
FALL22

CS220 - Data analytics (TA)

King Abdullah University of Science and Technology, Saudi Arabia
FALL23, SPR21, SUM21

CS201 - Introduction to Programming with Python (TA)

King Abdullah University of Science and Technology, Saudi Arabia
2022 - 2022
Practical tools for machine learning (TA)

ARAMCO, Saudi Arabia
- KAUST MS in Data Science and analytics
Aug 2021

Python high school teacher for KAUST Virtual Academy program

King Abdullah University of Science and Technology, Saudi Arabia

Education

2022 - Present
PhD, Computer Science

King Abdullah University of Science and Technology, Saudi Arabia
- Advisor: Prof. Markus Hadwiger
- Focus: Scientific Visualization and GPU programming
2020 - 2021
Master's degree, Computer Science

King Abdullah University of Science and Technology, Saudi Arabia
- Thesis Advisor: Prof. Xiangliang Zhang
- Thesis: ArMATH
- Focus: AI and Scientific Visualization
- I Took courses in Scientific Visualization, GPU programming, AI, Machine Learning, Deep Learning, Computer Vision, Bioinformatics, Numerical Linear Algebra, and Probability & Statistics in R.
2016 - 2020

Bachelor's degree, Computer Science

Princess Nourah Bint Abdulrahman University, Saudi Arabia

Graduate Student Researcher

King Abdullah University of Science and Technology, Saudi Arabia

Graduate Student Researcher

King Abdullah University of Science and Technology, Saudi Arabia

CS247 - Scientific Visualization (TA)

King Abdullah University of Science and Technology, Saudi Arabia

CS220 - Data analytics (TA)

King Abdullah University of Science and Technology, Saudi Arabia

CS201 - Introduction to Programming with Python (TA)

King Abdullah University of Science and Technology, Saudi Arabia

Practical tools for machine learning (TA)

ARAMCO, Saudi Arabia

Python high school teacher for KAUST Virtual Academy program

King Abdullah University of Science and Technology, Saudi Arabia

PhD, Computer Science

King Abdullah University of Science and Technology, Saudi Arabia

Master's degree, Computer Science

King Abdullah University of Science and Technology, Saudi Arabia

Bachelor's degree, Computer Science

Princess Nourah Bint Abdulrahman University, Saudi Arabia