Nathalia Peixoto

George Mason University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Nathalia Peixoto is a pioneering researcher at the intersection of biomedical engineering, neural engineering, and magnetic actuation systems. Her work focuses on developing innovative control interfaces and modeling techniques for untethered guidance of particles and devices using electromagnet arrays—a critical area for advancing minimally invasive medical robotics and targeted drug delivery. Among her notable contributions, Dr. Peixoto has leveraged artificial neural networks to overcome the inherent challenges of modeling complex electromagnetic fields, enabling more precise autonomous positioning of magnetically actuated spheres. This work, published in 2024, represents a significant step toward the eventual realization of microscale robots capable of navigating within the human body. While her most-cited paper is still gaining traction with 2 citations, her broader body of work has amassed substantial impact, reflecting her deep expertise in neural signal processing, bioinstrumentation, and closed-loop control systems. Dr. Peixoto’s research not only pushes the boundaries of magnetic manipulation but also holds promise for transformative applications in targeted therapy and diagnostic imaging. Her dedication to bridging computational modeling with practical biomedical devices marks her as a rising leader in her field.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Control Interface for Autonomous Positioning of Magnetically Actuated Spheres Using an Artificial Neural Network
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: George Mason University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago