Alexandra Plexousaki
Papers
1
Total Citations
3
H-Index
1
About
Alexandra Plexousaki is a rising researcher at the intersection of virtual reality, robotics, and medical education. Her work centers on developing immersive digital twin environments to enhance surgical training, with a particular focus on robotic skill acquisition. In her most-cited paper, "VR Isle Academy: A VR Digital Twin Approach for Robotic Surgical Skill Development" (2025), she pioneers a novel framework that combines real-time simulation with haptic feedback, allowing trainees to practice complex procedures in a risk-free virtual space. This contribution addresses a critical gap in surgical education by offering scalable, repeatable training modules that mirror real operating conditions. Though early in her career, her work has already garnered 3 citations, signaling growing interest from both the medical simulation and robotics communities. Plexousaki’s research promises to democratize access to high-quality surgical training, reduce errors in the operating room, and accelerate the learning curve for aspiring robotic surgeons. Her innovative use of digital twins positions her as a key voice in the future of medical technology and human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1