Papers

12

Total Citations

206

H-Index

7

About

Simon Dunham is a biomedical engineer and roboticist whose research sits at the dynamic intersection of soft robotics, medical devices, and minimally invasive interventions. His most recognized contribution—a laser-cutting fabrication method for ultrathin soft pneumatic actuators—garnered 85 citations and fundamentally advanced the accessibility of soft robotics by dramatically reducing manufacturing time and bulk, opening new possibilities for delicate robotic interactions. Dunham has channeled this fabrication expertise directly into clinical applications, developing catheter-deployable soft robotic systems for cardiac mapping and atrial fibrillation treatment, addressing critical limitations of conventional devices that struggle to conform to complex heart anatomy. His multilayer cardiac mapping catheter arrays and inflatable basket catheters demonstrate how soft robotic principles can meaningfully improve electrophysiology procedures. Beyond cardiac applications, Dunham has explored inflatable endovascular stents, transcatheter valve replacement devices, and innovative microneedle patterning techniques for implantable medical device surfaces. His work on stretchable electronics further reflects his commitment to integrating sensing and actuation in next-generation medical tools. With publications spanning fabrication science, medical image registration, and device engineering, Dunham represents a versatile and impactful voice in the rapidly evolving field of smart medical robotics.

Research Focus

Key Achievements

7
H-Index
12
Papers
206
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Laser Cutting as a Rapid Method for Fabricating Thin Soft Pneumatic Actuators and Robots
85 citations · 2018
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: NewYork–Presbyterian Hospital, Cornell University, Presbyterian Hospital, New York Hospital Queens

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago