Filip Bajraktari
Papers
1
Total Citations
1
H-Index
1
About
Filip Bajraktari is a researcher at the intersection of robotics, healthcare, and human-robot interaction, with a primary focus on developing intelligent robotic systems to improve clinical training and patient safety. His most notable contribution is the design and evaluation of ASTRID, a robotic tutor specifically created to train nurses in performing central line dressing changes—a high-stakes, life-critical procedure prone to preventable errors that can lead to healthcare-associated infections. By combining physical robotics with instructional feedback, Bajraktari’s work addresses a pressing need in medical education, where heavy workloads and procedural complexity often compromise training quality. Although early in his career, his research has already garnered attention for its practical impact, with his flagship paper cited in discussions on simulation-based learning and infection control. Bajraktari’s achievements reflect a commitment to translating engineering innovation into real-world healthcare solutions, positioning him as an emerging voice in the growing field of medical robotics and autonomous tutoring systems.
Research Focus
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Top Papers
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