Mckenzie Cardozo
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mckenzie Cardozo is a rising leader in sustainable technology and embedded machine learning, whose work directly addresses critical environmental challenges. Her primary research focuses on developing cost-effective, intelligent systems for waste management and recycling, with a particular emphasis on deploying TinyML—machine learning on low-power microcontrollers—to create accessible solutions for technologically underdeveloped regions. Her most-cited paper, "Robotic Recyclables Segregation System using TinyML" (2024, 2 citations), introduces a novel, low-cost robotic arm that leverages TinyML to automatically identify and sort recyclable materials, tackling the global waste crisis where traditional recycling plants are often too expensive or inefficient. This work stands out for its potential to democratize recycling technology, offering a practical, energy-efficient alternative to manual sorting in resource-constrained settings. Dr. Cardozo’s contributions are pioneering the intersection of edge AI and environmental sustainability, demonstrating how advanced computing can solve real-world problems. Her research is already shaping conversations around affordable green technology, and her innovative approach promises significant impact as the world seeks scalable waste reduction strategies.
Research Focus
Key Achievements
Top Papers
- 1Robotic Recyclables Segregation System using TinyML2 citations · 2024