Huy Nguyen

Huy Nguyen

Computer Science and Applied Math Undergraduate at UVA

Huy Nguyen's Portfolio

👉 Introduction

Hi there! đź‘‹ I'm Huy Nguyen, a fourth-year student at the University of Virginia pursuing a Bachelor's degree in Computer Science with a minor in Applied Mathematics.

Originally from Ho Chi Minh City, Vietnam, I moved to the United States as an international student with aspirations to pursue a Ph.D. in Computer Science.

I am currently conducting research in Hardware Architecture and Acceleration at the Lava Lab under Prof. Kevin Skadron, where I'm working on innovating the Rodinia Benchmark. Previously, I was involved in GPU research at the Insight Lab under Prof. Adwait Jog.

My research interests lie in hardware optimization and parallel computing, with particular expertise in CUDA programming, NVIDIA technologies, and microarchitectural optimizations.

Beyond research, I serve as a Teaching Assistant and Grader for Computer Science and Applied Mathematics courses, where I find fulfillment in mentoring and supporting fellow students.

From writing my first "Hello World!" in an Intro CS course at UVA to conducting advanced research, I am committed to making meaningful contributions to the field of Computer Science.

The more you sleep, the higher your GPA.

🎓 Education

University of Virginia - School of Engineering, 2026
B.S. in Computer Science and Minor in Applied Mathematics - GPA: 3.988

High School for the Gifted VNU-HCM, 2022
High School Diploma - KC3 1922


đź’Ľ Experience

Undergraduate Research Assistant - Rodinia Benchmark Innovation @ LAVA Lab
May 2025 - Present Summer Research Fellowship 2025
Innovating the Rodinia Benchmark Suite by updating, scaling, or retiring workloads and optimizing CUDA implementations to reflect current GPU architectures, under Prof. Kevin Skadron's guidance.
Undergraduate Research Assistant - PyTorch and CUDA ML Models Optimization
August 2023 - January 2025 Dean's Research Fellowship 2024
Researched on GPU computing and optimization techniques to enhance the performance of PyTorch and CUDA ML frameworks under Prof. Adwait Jog's guidance.
Undergraduate Research Assistant - Molecular Dynamics on HPC Systems
April 2023 - January 2025
Utilized Python and GPUMD for molecular dynamics simulations to analyze thermal properties of high-entropy alloys and NEP model training for model generation on UVA's Rivanna supercomputer.
Undergraduate Research Assistant - Enhancing Learning through Interactive GUIs
August 2023 - May 2025 Dean's Research Fellowship 2024
Lead a team of 5 students to create interactive Python and MATLAB Applications and Visualization for improving students' learning Multivariable Calculus and Linear Algebra courses at UVA.
Teaching Assistant and Grader @UVA
August 2023 - Present
Support students in Computer Systems and Organization II, Linear Algebra, Probability, Programming with MATLAB & R, Intro to Programming, Ordinary Differential Equations, Multivariable Calculus, and Intro to Physics courses.
Developer Intern @SHIFT ASIA
May 2023 - August 2023
Enhance existing e-commerce sales forecasting models and develop regression models for predicting SAT scores, improving prediction accuracy and efficiency.
CORE Scholar Peer Academic Mentor @UVA
August 2023 - August 2024
Improve STEM education for CORE Scholar students through academic support, course guidance, and community-building activities.


🏆 Honors and Awards

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The Raven Society @ UVA

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The Raven Society is UVA's oldest and most prestigious honorary society, recognizing exceptional students for academic excellence, leadership, and service to the University and Charlottesville community. Membership is highly selective and considered one of the highest honors a student can receive at UVA.

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Dean's Engineering Research Fellowship Summer 2024

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Awarded $4,800 for a 10-week full-time research project with additional engagement in professional development workshops and presentation of findings at Fall Undergraduate Research Expo.

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Dean's List - All Semesters

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Achieved Dean's List recognition for maintaining a GPA of 3.40 or higher and completing over 15 credits of graded coursework in the preceding semester.



đź“ť Publications

Neuroevolution Machine Learning Potential for High-Temperature Deformation Studies of Entropy-Stabilized Oxide MgNiCoCuZnOâ‚…
Authors: B. Timalsina, H. G. Nguyen, K. Esfarjani
Published in Journal of Applied Physics, October 2024
This study presents the development of a neuroevolution machine learning potential (NEP) for entropy-stabilized oxide MgNiCoCuZnOâ‚… (J14) to explore its lattice distortion, elastic properties, and thermal conductivity across a wide temperature range. The NEP potential demonstrates high accuracy compared to density functional theory (DFT) calculations and experimental data. [J. Appl. Phys. 136, 155109 (2024), DOI: 10.1063/5.0224282]