Dasith de Silva

Dasith de Silva serves as a Research Fellow in the Department of Computer Science and Software Engineering at The University of Western Australia's School of Physics, Maths and Computing. His research focuses on advancing 3D computer vision through innovative point cloud processing techniques.

His core research spans:

• Point cloud normal estimation and filtering algorithms
• Contrastive and representation learning for 3D data
• Deep learning architectures for geometric computer vision
• Height map-based 3D reconstruction methods

He develops state-of-the-art solutions addressing fundamental challenges in point cloud analysis and processing.

Analysis of his 2019-2024 publications reveals an evolution from soft matter physics toward specialized computer vision work. His recent contributions (2022-2024) demonstrate increasing sophistication in deep learning approaches for point cloud tasks, with significant advances in iterative filtering and joint normal estimation techniques published in top venues like CVPR and IEEE Transactions on Visualization and Computer Graphics.

No scientific awards are documented in available sources.

Current information indicates no formal academic advising responsibilities or research grant disclosures. His collaborative network shows international partnerships primarily in computer vision research.