Mansoor Keshavarz
Papers
1
Total Citations
7
H-Index
1
About
Mansoor Keshavarz is a researcher specializing in biomedical robotics, haptic sensing, and adaptive system identification. His work focuses on developing intelligent robotic systems for medical applications, particularly in soft tissue characterization and minimally invasive diagnosis. His most-cited paper, "Dynamic modeling of breast tissue with application of model reference adaptive system identification technique based on clinical robot-assisted palpation" (2015), introduces a novel approach to modeling breast tissue dynamics using adaptive control theory. This research integrates robot-assisted palpation with real-time system identification, enabling more accurate and non-invasive detection of tissue abnormalities. While his citation count is modest, his contributions are foundational to the emerging field of robot-assisted medical palpation, bridging the gap between control engineering and clinical diagnostics. Keshavarz’s work has implications for improving early breast cancer detection and advancing haptic feedback in surgical robotics. His research demonstrates a commitment to translating engineering principles into practical medical tools, offering a pathway toward safer, more precise diagnostic procedures that reduce patient discomfort and enhance clinical outcomes.
Research Focus
Key Achievements
Top Papers
- 1