职称：讲师
学位：博士
研究领域：结构可靠度/随机振动、地震工程
办公地点：工程抗震研究中心
电子邮箱：ziqidwang@yahoo.com
个人简介
2016年加入工程抗震研究中心，主要从事地震工程、结构可靠度等方向的基础理论研究。
教育背景
2010.09–2015.12：工学博士，西南交通大学
2013.09–2014.09：国家公派联合培养博士，University of California, Berkeley
2006.09–2010.06：工学学士，西南交通大学
职业经历
1、学术工作经历
2016.07–至今：助理研究员，广州大学工程抗震研究中心
2、海外工作经历
2018.07–2018.08：访问学者，University of California, Berkeley
2017.08–2017.09：访问学者，ETH Zürich
2015.11–2015.12：访问学者，Seoul National University
2014.10–2014.11：访问学者，Seoul National University
教授课程
科研服务
近年主持的科研项目
主持/参加了国家自然科学基金、广东省自然科学基金、国家重点研发计划等项目多项。
期刊审稿：Statistics and Computing, Structural Safety, Reliability Engineering & System Safety, Applied Mathematical Modelling, Structure and Infrastructure Engineering,…
研究成果
期刊论文：
https://www.researchgate.net/profile/Ziqi_Wang14
会议论文（部分）：
1. Marco Broccardo,Ziqi Wang, Junho Song (2019). Hamiltonian Monte Carlo-Subset Simulation (HMC-SS) methods for structural reliability analysis.13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13), May 26–30, Seoul, South Korea.
2. Sangri Yi,Ziqi Wang, Junho Song (2018).Nonlinear stochastic dynamic analysis for PBEE by Gaussian mixture-based equivalent linearization method (GM-ELM). Engineering Mechanics Institute Conference (EMI 2018), May 29–June 01, M.I.T., Cambridge, USA. (Best Student Paper Award)
3. Marco Broccardo,Ziqi Wang, Junho Song (2018). Hamiltonian Monte Carlo-Subset Simulation method for rare events probability estimation in (Non-) Gaussian spaces.SIAM Conference on Uncertainty Quantification (SIAM UQ18), April 16–19, Garden Grove, USA.
4. Ziqi Wang, Junho Song (2018). Hyper-spherical importance sampling and extrapolation for high dimensional reliability problems.TNO Workshop: Computational Challenges in the Reliability Assessment of Engineering Structures,Jan. 24, Delft, The Netherlands.
5. Junho Song,Ziqi Wang, Zhishan Li (2017). Stochastic seismic analysis of nonlinear structures using a Gaussian mixture based equivalent linearization method.12th International Conference on Structural Safety & Reliability (ICOSSAR 2017), Aug. 06–10, Vienna, Austria.
