Alexis Huante
he/him/his
Texas A&M International University and The University of Texas at Austin
Computer Science
Biography
My name is Alexis Huante, and I graduated from Texas A&M International University (TAMIU) with a Bachelor's degree in Computer Engineering, earning a 3.96 GPA. During my time at TAMIU, I have been an undergraduate researcher under the supervision of Dr. Mustafa Al Lail. Currently, I am a full-time computer science graduate student at The University of Texas at Austin and a part-time researcher at TAMIU. I graduated from TAMIU in Fall 2023, and since then, I have been working together with my mentor, Dr. Mustafa Al Lail, where we were able to publish two research papers, and we are currently working on revising and submitting two articles related to Artificial Intelligence (AI). My passion for research and learning is a result of these efforts. My experience working as a Research Assistant at TAMIU and as a Software Developer at Oak Ridge National Laboratory (ORNL) has given me valuable skills. For instance, I have gained knowledge in data analysis, machine learning, deep learning, and writing research papers, in addition to having hands-on experience with High-Performance Computing (HPC) and Parallel Programming by utilizing the Frontier supercomputer.
Academic Information
Status: Masters Student
Year in Program: 1st
Major/Specialty: Computer Engineering / Computer Science / Artificial Intelligence / Machine Learning / Data Science
Degrees: In Progress: Master's Degree / Computer Science / Expected Fall 2026 Earned: Bachelor's Degree / Computer Engineering / Fall 2023 Earned: Associate's Degree / Engineering / Spring 2021
Research Areas
Computer Science; Data Science; Engineering; Machine Learning/AI; Mathematics
Research Interests
I am interested in Artificial Intelligence (AI), Data Science, High Performance Computing (HPC), and Software Development/Engineering areas.
Topical Areas
Applied Computer Science; Applied Mathematics; Artificial Intelligence and Intelligent Systems; Computer Science; Electrical, Electronic, and Information Engineering; Informatics, Analytics and Information Science; Other Computer and Information Sciences; Other Engineering and Technologies; Performance Evaluation and Benchmarking; Statistics and Probability; Visualization and Human-Computer Systems
Relevant Coursework
------ Undergraduate courses ------ Software Engineering Algorithms and Data Structures Computer Security Computer System Architecture Software Design Object-Oriented Programming Operating Systems Embedded Systems Undergraduate Research Microprocessor Systems Computer Engineering Senior Design Project ------ Graduate Courses ------ Analysis of Algorithms Operating Systems Parallel Systems Advanced Linear Algebra Deep Learning
Publications & Research Projects
------ Research Project 1 ------ Title: Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation Authors: Pedro Valero-Lara, Alexis Huante, Mustafa Al Lail, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, and Jeffrey S. Vetter Publication: https://arxiv.org/abs/2309.07103 (The 36th International Workshop on Languages and Compilers for Parallel Computing) ------ Research Project 2 ------ Title: Impact of Network Data Complexity on Machine Learning Performance for Real-Time IoT Systems Authors: Mustafa Al Lail, Alexis Huante, and Mariem Belhor Publication: To appear in the proceedings of the 28th International Symposium On Real-Time Distributed Computing ------ Research Project 3 ------ Title: Unveiling Dataset Complexity’s Impact on Deep Learning Network Intrusion Detection Authors: Mustafa Al Lail and Alexis Huante Publication: To be submitted to the Journal of Computer Networks ------ Research Project 4 ------ Title: LID Classifier– A New Supervised Algorithm and Implementation Authors: Alexis Huante and Mustafa Al Lail Publication: To be submitted to the International Conference on Machine Learning (ICML 2026). ------ Research Project 5 ------ Title: LLM-Driven Fortran-to-C/C++ Portability for Parallel Scientific Codes Authors: Pedro Valero-Lara, Jose Gonzalez, Jhonny Gonzalez, Alexis Huante, Hallyma Gauthier, Kelly Yuguo Tang, Keita Teranishi, Prasanna Balaprakash, William Godoy, and Jeffrey S. Vetter Publication: To appear in the proceedings of The Second Workshop on AI Principles in Science Communication ------ Research Project 6 ------ Title: Filling Performance Portability and High-Productivity Gaps for Scientific Applications with JACC Authors: William Godoy, Jhonny Gonzalez, Jose Gonzalez, Alexis Huante, Pedro Valero-Lara, Keita Teranishi, Prasanna Balaprakash, and Jeffrey S. Vetter Publication: To be submitted.