Neal Patel
Papers
3
Total Citations
48
H-Index
3
About
Neal Patel is a researcher whose work spans two distinct but equally impactful domains: robotic systems engineering and interventional pulmonology. His foundational contributions to reliability-based design optimization have proven particularly influential, with his 2006 work on robotic system dynamic performance accumulating nearly 40 citations across multiple publications. This research introduced the application of dynamic capability equations (DCE) to predict and optimize robotic performance under real-world uncertainty, offering engineers a principled framework for designing more dependable robotic systems — a contribution that remains relevant as robotics continues to evolve. More recently, Patel has turned his expertise toward medical robotics and diagnostic innovation. His 2024 investigation into shape-sensing robotic-assisted bronchoscopy combined with mobile cone-beam CT for cystic and cavitary pulmonary lesions has already garnered 10 citations in a short period, signaling strong early impact in a clinically urgent field. This work advances minimally invasive diagnostic capabilities for challenging lung lesions, potentially improving patient outcomes through greater precision and accuracy. Together, Patel's career reflects a rare trajectory — from foundational mechanical and reliability engineering toward cutting-edge medical applications — demonstrating both technical rigor and a commitment to real-world, human-centered innovation.
Research Focus
Key Achievements
Top Papers
- 1Reliability-Based Design Optimization of Robotic System Dynamic Performance28 citations · 2006
- 2
- 3Reliability-Based Design Optimization of Robotic System Dynamic Performance10 citations · 2006