PhD Candidate
Research Interests
My research focuses on developing deep learning techniques for the upsampling of point cloud data to enhance the resolution and accuracy of 3D models. I explore both unsupervised and supervised learning approaches, experimenting with various neural network architectures to address the challenges posed by real-world data. By optimizing these models, I aim to create algorithms that effectively densify point clouds while preserving geometric features, ultimately contributing to more accurate and reliable 3D representations for applications like autonomous driving, robotics, and 3D reconstruction.
Education
- M.Sc. Eng., Geomatics Engineering, University of Tehran, Iran