Scholar
Xiaoyu Liu
Google Scholar ID: Uo2HX8oAAAAJ
Assistant Professor, University of South Florida
Citations & Impact
Citations
176
H-index
8
i10-index
7
Publications
20
Co-authors
0
Contact
Resume
Academic Achievements
- Published 'Computational Framework for Assessing Mission Outcomes with Humans and Robots' in AIAA Journal, 2025.
- Presented 'Roles of human and robotic agents toward operating a smart space habitat' at the 2023 International Conference on Environmental Systems, July 2023.
- Published 'A computational framework for making early design decisions in deep space habitats' in Advances in Engineering Software, 2024.
- Published 'Automated image localization to support rapid building reconnaissance in a large-scale area' in Computer-Aided Civil and Infrastructure Engineering, 2023.
- Published 'Automated indoor image localization to support a post-event building assessment' in Sensors, 2020.
- Published 'Information fusion to automatically classify post-event building damage state' in Engineering Structures, 2022.
Research Experience
- Was a postdoctoral researcher at the NASA-funded RETH Institute, focusing on human and robotic agent modeling and analysis in space missions.
Education
- Ph.D. and M.S. in Mechanical Engineering from Purdue University, advised by Prof. Shirley J. Dyke; B.S. in Mechanical Engineering from Xi’an Jiaotong University.
Background
- Main research interests focus on applying machine learning and mathematical methods to address challenges in human–robot teaming for space missions. Currently an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of South Florida, previously a postdoctoral researcher at the NASA-funded RETH Institute.
Miscellany
- Currently recruiting Ph.D. and M.S. students starting in Spring/Fall 2026. Interested in machine learning/multi-agent teaming/space mission planning? Send an email to xiaoyuliu@usf.edu!