Dr. Zifeng Huang
Research
- Operator Learning
- Signal Processing
- Functional Integral
- Probabilistic Structural Dynamics
- Wind Engineering
Curriculum Vitae
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Employment History
seit 2025
Postdoctoral Fellow, Institute for Risk and Reliability, Leibniz University Hannover, Hannover, Germany2024 - 2025
Postdoctoral Fellow, Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong2022 - 2024
Postdoctoral Fellow, Institute for Risk and Reliability, Leibniz University Hannover, Hannover, Germany2019 - 2022
Postdoctoral Fellow, Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong -
Education
2013 - 2018
Ph.D. in Civil Engineering, Tongji University, Shanghai, China2009 - 2013
Bachelor in Civil Engineering, Southwest Jiaotong University, Chengdu, Sichuan Province, China -
Honours and Awards
2022
Humboldt Research Fellowship, Alexander von Humboldt Foundation2020
Tongji University Excellent Doctoral Dissertation Award, Tongji University, Shanghai, China
Journal Articles
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(2026): Upper Approximation Bounds for Neural Oscillators, Mechanical Systems and Signal Processing, 265, Article 114485
DOI: 10.1016/j.ymssp.2026.114485 -
(2026): Upper Generalization Bounds for Neural Oscillators, Probabilistic Engineering Mechanics, 85, Article 103977
DOI: 10.48550/arXiv.2603.09742 -
(2024): Probability distributions for dynamic and extreme responses of linear elastic structures under quasi-stationary harmonizable loads, Probabilistic Engineering Mechanics, 75, Article 103590
DOI: 10.1016/j.probengmech.2024.103590 -
(2023): Multi-taper S-transform method for estimating Wigner-Ville and Loève spectra of quasi-stationary harmonizable processes, Mechanical Systems and Signal Processing, 206, Article 110880.
DOI: 10.2139/ssrn.4508067
Research projects
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A probability density functional framework for the probabilistic response and reliability analysis of dynamical structural systems subjected to random environmental loadsLed by: Dr. Zifeng HuangYear: 2025Funding: DFG - Projektnummer 554325683Duration: 08/2025 - 07/2028
