Christian Narcia

Christian Narcia

PhD Computer Science Student

University of Texas Rio Grande Valley

📧 Email GitHub GitHub LinkedIn LinkedIn MI Lab MI Lab

Research Interests

Computer Vision

Vision Language Models, Vision-based robotic control, behavioral analysis, and embedded vision systems

Machine Learning

Reinforcement learning, Large Language Models, and adaptive systems

Embedded Systems

IoT applications, edge computing, and hardware-software integration

About Me

I am a PhD student in Computer Science at the University of Texas Rio Grande Valley, specializing in the intersection of machine learning, computer vision, and embedded systems. My research focuses on developing intelligent systems that can adapt and learn in dynamic environments, with applications in robotics, agriculture, and environmental monitoring.

Education

  • PhD in Science Computer Science with Interdisplinary Applications - 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 training

Experience/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++

Tools & Frameworks

  • Linux
  • Colab
  • VS Code
  • Blender

Hardware Platforms

  • NVIDIA Jetson Nano
  • Raspberry Pi

Publications

Works in Progress

Lower Rio Grande/Rio Bravo Two-Day Salinity Level Forecasting Using Artificial Intelligence

C. Narcia-Macias, J. Velazquez, J. Guardado, E. Enriquez, J. Ho, D. Kim

Publications

Guided Exploration in Sparse Reward Environments using Causal Prior Knowledge

E. Enriquez, C. Narcia-Macias, D. Masamba, D. Kim

International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2025

DOI: 10.1109/ACDSA65407.2025.11166076

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 (ICT), 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 (ICT), 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

Proceedings of the 23rd International Conference on Machine Learning and Applications (ICMLA), 2024

DOI: 10.1109/ICMLA61862.2024.00122

Research Webpages

My research explores machine learning, computer vision, embedded systems, vision-based robotic control, and edge applications.

🔬 Research Project Webpages

Contact

MI Lab Machine Intelligence Lab

Computer Science Department
University of Texas Rio Grande Valley

📧 Email

Current Research Activities

For detailed information about my ongoing research projects and progress: View Research Notebook 📋

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