Anh Phong Nguyen

Papers

Total Citations

H-Index

About

Anh Phong Nguyen is a rising researcher at the intersection of robotics, computer vision, and medical imaging, whose work pushes the boundaries of how machines perceive and interact with the world. His primary research areas include 3D semantic mapping, open-vocabulary scene understanding, and foundation models for surgical robotics. Nguyen’s most notable contribution is **Open-Fusion**, a real-time, open-vocabulary 3D mapping system that allows robots to dynamically label and query their environment without being limited to pre-trained concepts—a breakthrough for autonomous navigation and manipulation. Already garnering **22 citations** since its 2024 publication, this work addresses a critical bottleneck in semantic mapping by combining speed with flexibility. More recently, Nguyen has ventured into medical AI with **FedEFM**, a federated endovascular foundation model designed to segment catheters and guidewires in X-ray images, even on unseen data. Though early in its impact (2 citations in 2025), this work tackles the pressing challenge of data scarcity in surgical settings. By bridging real-time robotics with privacy-preserving medical AI, Nguyen is building a career defined by practical, scalable solutions for embodied intelligence.