Paul Kim

Drexel University

Papers

3

Total Citations

49

H-Index

3

About

Paul Kim is a pioneer in the emerging field of bio-hybrid microrobotics, where living microorganisms are engineered as controllable, microscale robots. His research centers on the motion control and feedback regulation of single-celled organisms, particularly the ciliate *Tetrahymena pyriformis*. Kim’s major contributions lie in developing sophisticated control strategies—including model predictive control (MPC) and exploitation of phase inhomogeneity—to steer these magnetized cells with precision. His most cited work (2013, 30 citations) demonstrates how to overcome the fundamental challenge of controlling many biological robots simultaneously using uniform magnetic inputs, a breakthrough for scalable microrobotic swarms. His follow-up study (2012, 15 citations) established the MPC framework for artificial magnetotaxis, enabling reliable trajectory tracking. By transforming live microbial cells into easy-to-produce, self-fueling microrobots, Kim’s work bridges control theory, microbiology, and robotics. His achievements open doors to applications in targeted drug delivery, environmental sensing, and micro-assembly, positioning him as a leading innovator in harnessing nature’s smallest swimmers for engineered tasks.

Research Focus

Key Achievements

3
H-Index
3
Papers
49
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Feedback control of many magnetized: Tetrahymena pyriformis cells by exploiting phase inhomogeneity
30 citations · 2013
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Drexel University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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