Samir Patel

University of Minnesota, Cornell University

Papers

Total Citations

H-Index

About

Samir Patel’s research bridges precision robotics and healthcare policy, with a focus on improving system reliability and patient outcomes. In robotics, Patel developed a groundbreaking self-calibration algorithm for cable-driven parallel robots (CDPRs), introducing novel covariance-based metrics—position dilution of precision (PDOP) and associated quality assessments—to enhance end-effector pose estimation and measurement bias correction. This work, published in 2024, has already garnered 7 citations for its practical impact on autonomous robotic systems. Concurrently, Patel’s healthcare research analyzes national trends in hospital-acquired conditions following major urologic surgery, evaluating the effectiveness of the Hospital Acquired Condition Reduction Program. This 2018 study, also with 7 citations, provides critical insights into policy-driven quality improvement in surgical care. Patel’s dual expertise demonstrates a unique ability to apply rigorous analytical methods across engineering and clinical domains, advancing both robotic autonomy and evidence-based healthcare policy. Their work is particularly notable for translating complex data quality metrics into actionable improvements, making Patel a rising interdisciplinary contributor to robotics and health services research.