Summary
Dat Nguyen is a PhD candidate and researcher with 9 years of experience specializing in scalable image, video, and volumetric 3D coding, combining deep learning and traditional compression techniques. He has worked across academia and industry—from FAU Erlangen-Nürnberg research to a short stint at Meta developing dynamic level-of-detail mesh algorithms—and has hands-on experience in point cloud compression, deep generative models, and real-time computer vision systems. His background spans multinational research labs and engineering roles in France, Germany, and Vietnam, with advanced training from Télécom Paris and exchange at TUM. Comfortable moving ideas from prototypes to production, he has applied ML on FPGA and built real-time detection systems for smart cities, reflecting a blend of theoretical rigor and practical deployment experience.
9 years of coding experience
1 year of employment as a software developer
Erasmus Exchange Program, Computer Engineering, Erasmus Exchange Program, Computer Engineering at Technical University Munich
Master II in Multimedia Networking, Computer Engineering, 16.7/20, Master II in Multimedia Networking, Computer Engineering, 16.7/20 at Télécom Paris
Bachelor of Engineering (B.E.), Electronics and Telecommunication Engineering, 3.43/4, Bachelor of Engineering (B.E.), Electronics and Telecommunication Engineering, 3.43/4 at Hanoi University of Science and Technology