
Aerospace Systems Engineer & PhD Candidate specializing in Python-based AI tools and Onto-graph implementations for complex architectures. Expert in bridging theoretical research with mission-critical applications, including Boeing UAM and NASA CubeSat data frameworks. Proven track record in System of Systems (SoS) modeling and architecting modernized lunar mission solutions to enhance engineering productivity and data reliability.
Presidential Award, the top 5% students, National Taiwan University 2017, 2018, 2020
Taiwan Government Scholarship to Study Abroad, 2025
Y. Huang, T. Fung, D. Delaurentis, Addressing Complexity in System of Systems With GraphRAG: An AI‐Driven Framework for Dynamic Data Integration, System Engineering Journal, 2025
Y. Huang, D. Delaurentis, GraphRAG (Graph-Based Retrival Augmented Generation) Application in UAM System of Systems, AIAA Aviation Forum, 2025
Y. Huang, Q. Shi and C. Guariniello, Techno-economic Framework for Collaborative Low Earth Orbit Satellite Constellations, 2024 IEEE Aerospace Conference, Big Sky, Montana