Juelyan Via

Virginia Tech

Papers

1

Total Citations

6

H-Index

1

About

Juelyan Via is a researcher at the intersection of bioinspired robotics and computational fluid dynamics, with a primary focus on underwater propulsion mechanisms. Their most cited work, "Computational Analysis of Undulatory Batoid Motion for Underwater Robotic Propulsion" (2014, 6 citations), provides a foundational computational framework for understanding how rays and skates—members of the class Batoidea—use their large cartilaginous wings for efficient locomotion. This research offers a critical alternative to traditional oscillating fin designs, advancing the development of quieter, more maneuverable underwater robotic systems. By modeling the undulatory kinematics of batoid motion, Via’s work has informed the design of bioinspired soft robots capable of replicating the fluid dynamics of natural swimmers. Though early in their career, Via’s contributions have been recognized for bridging computational modeling with practical engineering applications, offering a pathway toward more agile and energy-efficient autonomous underwater vehicles. Their research continues to inspire students and engineers exploring nature’s solutions to complex propulsion challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Computational Analysis of Undulatory Batoid Motion for Underwater Robotic Propulsion
6 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Virginia Tech

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago