Basam Mutawak

George Mason University

Papers

1

Total Citations

2

H-Index

1

About

Basam Mutawak is a rising researcher at the forefront of electromagnetic actuation and intelligent control systems, with a focus on enabling precise, untethered manipulation of micro-scale objects. His work addresses a critical bottleneck in the field: the difficulty of modeling complex electromagnetic fields for high-precision control. Mutawak’s most-cited paper, "A Control Interface for Autonomous Positioning of Magnetically Actuated Spheres Using an Artificial Neural Network" (2024), introduces a novel approach that leverages artificial neural networks to bypass the need for reduced-order physical models. This work, which has already garnered 2 citations shortly after publication, demonstrates a practical pathway for autonomously guiding magnetic spheres—a foundational step toward controlling more complex devices and, ultimately, miniature robots. By integrating machine learning with electromagnetic actuation, Mutawak is pioneering methods that could revolutionize applications in targeted drug delivery, micro-assembly, and wireless medical robotics. His contributions are particularly notable for their potential to overcome longstanding precision control challenges, marking him as an emerging innovator in the intersection of robotics, control theory, and applied magnetics.

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 · 12 days ago