Papers
6
Total Citations
182
H-Index
4
About
Dr. Panos Liatsis is a leading researcher at the intersection of flexible electronics, tactile sensing, and machine learning, whose work is shaping the future of human-robot interaction and wearable technology. His primary contributions lie in developing advanced materials and computational methods for stretchable, electrically conductive polymers used in physical sensing applications. Notably, his 2022 paper on this topic has garnered 137 citations, underscoring its impact on the field of portable smart electronics. Dr. Liatsis has pioneered the use of machine learning-driven Electrical Impedance Tomography (EIT) to overcome the low spatial resolution and artifacts that have historically limited tactile sensors in robotics. His 2021 work on this subject, with 31 citations, introduces a modular framework that significantly enhances tactile imaging. Beyond sensing, he has explored novel CAPTCHA models based on visual psychophysics, demonstrating a unique ability to apply cognitive science to cybersecurity. With a portfolio that spans from neural network-based image reconstruction to object segmentation for artificial skin, Dr. Liatsis’s research is foundational for creating robots that can safely and naturally interact with their environment.
Research Focus
Key Achievements
Top Papers
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- 5How humans can help computers to solve an artificial problem?3 citations · 2015
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