Sergey Prokudin

Dr. Sergey Prokudin is a Lecturer at the Department of Computer Science, ETH Zürich, affiliated with the Professur für Computer Vision. His research focuses on computer vision, machine learning, medical imaging, and robotics. Key areas include 3D reconstruction, neural fields, and uncertainty quantification in biomedical applications. His work bridges theoretical advancements in neural networks with practical applications in healthcare and robotics.

Research interests span dynamic scene understanding, spatiotemporal modeling, and medical imaging processing. Notable projects include digital twin creation for spinal surgery, robust MRI parameter estimation, and avatar generation from single images. He has published extensively on topics like Gaussian splatting, residual neural fields, and point cloud alignment.

No scientific awards have been explicitly listed. His advising and grants focus on interdisciplinary projects combining computer vision with medical engineering. He is part of ETH's Computer Vision group and contributes to labs exploring 3D modeling and medical visualization technologies.