Kostas E. Psannis
Papers
6
Total Citations
91
H-Index
3
About
Kostas E. Psannis is a leading researcher at the intersection of haptic technology, robotic surgery, and next-generation healthcare systems. His work primarily focuses on integrating the sense of touch into digital communications, enabling real-time force feedback over networks—a critical advancement for remote surgery and medical training. Psannis’s most influential paper, "A Medical Image Visualization Technique Assisted with AI-Based Haptic Feedback for Robotic Surgery and Healthcare" (2023, 51 citations), directly addresses pandemic-era needs by proposing systems that protect medical staff from infectious diseases through remote, tactile-enhanced procedures. He also authored the seminal survey "A Survey on Haptic Data Over 5G Networks" (2019, 28 citations), which outlines the missing methodology for transmitting touch in perceived real-time over the internet. Beyond these, his research on neural network-based QoS control for remote robot systems (2021) and stabilization control for force-feedback robots (2018) has laid foundational work for improving the efficiency and safety of teleoperation. Psannis’s contributions are shaping the future of telemedicine and collaborative robotics, making him a key figure in the push toward truly immersive, remote healthcare solutions.
Research Focus
Key Achievements
Top Papers
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- 2A Survey on Haptic Data Over 5G Networks28 citations · 2019
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