Heyang Thomas Li

Heyang (Thomas) Li is a Distinguished Professor in the Department of Physics at The Australian National University. His research focuses on advanced imaging techniques, particularly in the areas of x-ray tomography and related applications. Li's work includes contributions to the development of efficient scanning trajectories for computed tomography, as well as methods for improving spatial resolution in micro-CT imaging. His research has been published in several prominent journals and conference proceedings, reflecting his ongoing engagement with cutting-edge developments in the field.

Heyang (Thomas) Li is a researcher specializing in image processing, deep learning, CT and X-ray imaging, statistical trees, and constraint optimisation. His work focuses on advancing imaging technologies through innovative algorithms and mathematical models. Li's research includes developing methods for efficient scanning in cone-beam computed tomography, improving road surface feature detection using lidar and machine learning, and enhancing x-ray imaging techniques such as dark-field tomography and speckle-based imaging. He also explores multigrid reconstruction, material decomposition, and directional dark-field implicit x-ray speckle tracking. His contributions span both theoretical and applied aspects of imaging science, with an emphasis on improving accuracy, resolution, and computational efficiency in medical and industrial imaging applications.