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About

Ani Boneva is a researcher at the forefront of surgical robotics and medical training, dedicated to advancing minimally-invasive surgery through engineering innovation. Her primary research areas include laparoscopic instrument design, augmented reality (AR) for surgical training, and wireless health monitoring systems. Boneva’s most significant contribution is the development of an advanced robot system for diagnostic and therapeutic tasks in laparoscopic surgery, which aims to restore the sense of touch—a critical feedback mechanism lost in traditional minimally-invasive procedures—by providing adequate tool-tissue force information to surgeons. This work, her most cited paper, has garnered 14 citations. She has also pioneered the use of AR-based simulation to train surgical staff, creating immersive environments that overlay computer-generated content onto live camera images to enhance skill acquisition. Her recent efforts include designing a wireless ECG monitoring device integrated into a modular robotic laparoscopic instrument, improving patient safety during surgery. With a total of 30 citations across her publications, Boneva’s work bridges engineering and medicine, offering practical solutions that improve surgical precision, training efficacy, and patient outcomes. Her ongoing integration of STEM principles into laparoscopic training underscores her commitment to shaping the next generation of surgical education.