Xinyu Jia, Ph.D.
Room: N3624
Phone: +49 89 289 25406
E-Mail: xy.jia@tum.de
Office hours: by arrangement
Curriculum Vitae
- Since Jun 2024 | Humboldt research fellow at the Engineering Risk Analysis Group, Technical University of Munich
- Since Oct 2022 | Lecturer, Associate Professor, Department of Mechanical Engineering, Hebei University of Technology, China.
- Feb 2022 – Jan 2023 | Postdoc, University of Macau, China.
- Sep 2018 – Nov 2021 | PhD in Mechanical Engineering, University of Thessaly, Greece.
- Sep 2011 – Jun 2018 | B.E. and M.Sc. in Mechanical Engineering, Hunan University, China.
Research
- Bayesian Learning of Physics-based Models of Systems
- Uncertain Quantification and Propagation in Structure Dynamics
- Structural Reliability and Risk Assessment
- Industrial robots
Selected Journal Publications
- Xinyu Jia, Wang-ji Yan, Costas Papadimitriou, Ka-Veng Yuen. An analytically tractable solution for hierarchical Bayesian model updating with variational inference scheme. Mechanical Systems and Signal Processing, 2023, 189: 110060.
- Xinyu Jia, Costas Papadimitriou. Hierarchical Bayesian learning framework for multi-level modeling using multi-level data. Mechanical Systems and Signal Processing, 2022, 178: 109179.
- Xinyu Jia, Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis, Babak Moaveni. Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal features. Mechanical Systems and Signal Processing, 2022, 170: 108784.
- Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang. Statistics-based Bayesian modeling framework for uncertainty quantification and propagation. Mechanical Systems and Signal Processing, 2022, 174: 109102.
- Xinyu Jia, Omid Sedehi, Costas Papadimitriou, Lambros S. Katafygiotis; Babak Moaveni; Nonlinear model updating through a hierarchical Bayesian modeling framework. Computer Methods in Applied Mechanics and Engineering, 2022, 392: 114646.
Honors and Awards
- Humboldt Research Fellowship, 2023
- Marie Curie ESR Fellowship, 2018.