Sarmad Hassan

Papers

Total Citations

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About

Sarmad Hassan is pioneering the intersection of robotics and biomedical engineering, with a focus on low-cost automation for healthcare and manufacturing. His most cited work, “Low-cost robotic manipulation of live microtissues for cancer drug testing” (2025, 6 citations), addresses the critical scarcity of human biopsies for drug development. By combining microscale tissue and fluid manipulation, Hassan’s approach enables miniaturized, personalized drug testing—offering a scalable solution to a bottleneck in therapeutic discovery. In parallel, his research on “Active Data-Enabled Robot Learning of Elastic Workpiece Interactions” (2024, 2 citations) tackles the challenge of maintaining tool-workpiece normality during manufacturing processes like drilling and clamping. Through data-driven robot learning, he reduces reliance on precise model-based predictions, enhancing automation for elastic structures. This work has implications for reducing shear forces and preventing damage in industrial settings. Hassan’s contributions demonstrate a unique blend of biomedical and manufacturing robotics, leveraging active learning to solve real-world problems. His research is particularly notable for its emphasis on cost-effective, accessible technologies, making advanced robotic manipulation viable for both clinical and industrial applications.