Rodrigo Louzada Campos

Rodrigo Louzada Campos is a Research Associate at the University of Georgia's Warnell School of Forestry and Natural Resources. His work bridges computer science and applied technology for real-world solutions.

His research focuses on machine learning, computer vision, and assistive technology, particularly leveraging sensor data and hyperspectral imaging. Key areas include food safety and accessibility engineering for the visually impaired.

Rodrigo's recent publications highlight advancements in deep learning for poultry meat inspection (2023) and applications of the Google Project Tango tablet in obstacle detection and navigation systems (2016-2018). These studies align with keywords like

• Machine Learning
• Augmented Reality
• Accessibility Engineering

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His contributions integrate sensor fusion, neural networks, and mobile platforms to address challenges in food safety and assistive technology.