Charalambos Klitis

Papers

Total Citations

144

H-Index

About

Charalambos Klitis is a leading researcher at the intersection of nanophotonics and advanced imaging, whose work is redefining the capabilities of LiDAR technology for autonomous systems. His primary research areas include metasurface optics, computational imaging, and 3D computer vision. Klitis’s major contribution lies in developing metasurface-enhanced LiDAR systems that mimic the human visual system by simultaneously capturing both peripheral and foveal fields of view. This innovation allows for coarse scene exploration alongside high-resolution focus, dramatically improving the efficiency and accuracy of robotic and autonomous navigation. His seminal 2022 paper on this topic has garnered 138 citations, underscoring its profound impact on the field. By integrating flat, multifunctional metasurfaces into LiDAR architectures, Klitis has addressed a critical bottleneck in 3D vision—enabling machines to perceive their environment with unprecedented speed and fidelity. His work not only advances fundamental photonics but also provides a practical pathway toward more intelligent, human-like perception in robotics and autonomous driving.