About Me
I am a passionate Computer Science researcher and developer with a focus on machine learning, computer vision, and embedded systems. Currently pursuing a PhD at the University of Texas Rio Grande Valley.
Education
- PhD in Computer Science - University of Texas Rio Grande Valley (Aug 2024 - Present)
- Master of Science in Computer Science - University of Texas Rio Grande Valley (Aug 2021 - Dec 2023)
- Bachelor of Science in Computer Science - University of Texas Rio Grande Valley (Aug 2014 - May 2021)
Christian Narcia CV
Education
PhD in Science Computer Science with Interdisplinary Applications (Aug 2024 - Present)
University of Texas Rio Grande Valley
Master of Science Computer Science (Aug 2021 - Dec 2023)
University of Texas Rio Grande Valley
Bachelor of Science Computer Science (Aug 2014 - May 2021)
University of Texas Rio Grande Valley
Work Experience
Graduate Research Assistant
Causality Reinforcement Learning (Jan 2024 - Aug 2024)
University of Texas Rio Grande Valley
Explored the integration of reinforcement learning with causal learning to enable robot adaptability in dynamic environments.Lower Rio Grande Salinity Forecasting (Aug 2023 - Dec 2023)
University of Texas Rio Grande Valley
Developed and implemented machine learning models. Pre-processed and visualized data for trainingExperience/Projects
Master’s Thesis
IntelliBeeHive (Aug 2022 - Aug 2023)
The University of Texas Rio Grande Valley
Developed a honeybee monitoring system to monitor the hive’s health and behavior using computer vision with an NVIDIA Jetson Nano.Bachleor’s Senior Project
An ML-based Embedded System for Inventory Control (Aug 2021 - Dec 2021)
The University of Texas Rio Grande Valley
This project uses a Raspberry Pi 4-based ML system for image-based inventory tracking, with AWS-hosted data and secure web access for management and alerts.Skills
Programming Languages
- Python
- C++
- PHP
- JavaScript
Tools & Frameworks
- Linux
- Colab
- PyCharm
- Blender
Hardware Platforms
- NVIDIA Jetson Nano
- Raspberry Pi
Publications
Offline Reinforcement Learning Approaches for Safe and Effective Smart Grid Control
A. Peredo, H. Lugo, C. Narcia-Macias, J. Espinoza, D. Masamba, A. Gandarilla, E. Enriquez, D. Kim
10th International Congress on Information and Communication Technology 2025
Personalized Chemotherapy Dosing through Offline Reinforcement Learning
H. Lugo, A. Peredo, C. Narcia-Macias, J. Espinoza, D. Masamba, A. Gandarilla, E. Enriquez, D. Kim
10th International Congress on Information and Communication Technology 2025
IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System
C. Narcia-Macias, J. Guardado, J. Rodriguez, J. Park, J. Rampersad-Ammons, E. Enriquez, and D. Kim
23rd International Conference on Machine Learning and Applications 2024
Research
Current Research
This is my Notion link to see what I am working on right now: Click here to open my Notion!
