赵昭，男，教授，博士生导师（智慧城市与交通学院&土木工程学院），国家级青年人才计划入选者，德国洪堡学者，四川省天府峨眉计划专家，全国高校黄大年式教师团队“高速铁路线路工程教师团队”固定成员。研究方向包括灾害性动力荷载（地震、风、浪）模拟、结构可靠度评估、结构健康监测与状态评估、生成式人工智能在土木工程中的应用等。学术兼职：Member, ASCE青年论坛委员,中国土木工程学会工程风险与保险研究分会Session Chair, International Workshop on Geotechnical Risk and Uncertainty 2026 (TC304)Young Editorial Board Member, Journal of Railway Science and TechnologyGuest Editor, Special Issue "Towards Enhanced Urban Resilience: Reliability analysis and model updating of dynamic systems" on Urban Resilience and Earthquake EngineeringRelated ProfilesGoogle Scholar: https://scholar.google.com/citations?user=1BHTLgkAAAAJ&hl=en ResearchGate: https://www.researchgate.net/profile/Zhao-Zhao-36?ev=hdr_xprf LinkedIn: https://www.linkedin.com/in/zhao-zhao-7570212a0/ GitHub:https://github.com/zhaozhao23Research Project9. 四川省面上，近断层地震作用下高山峡谷区桥上无缝线路灾变机理与快速修复策略研究，2026.01.01-2027.12.30，主持8. 国家自然科学基金青年基金C类，基于正则化流贝叶斯推理的非线性结构模型更新及动力可靠度评估，2026.01.01-2028.12.30，主持7.中央高校基本科研业务费专项，基于数字孪生的无缝线路养护与运维研究，2026.01.01-2027.12.30，主持6. 国家自然科学基金优秀青年基金(海外)，工程结构可靠性，2025.01.01-2027.12.30，主持5. 国家重点研发计划项目子课题，高墩大跨桥梁及桥隧过渡段无缝线路服役性能演化机理研究，2023.12.01-2026.11.30，参研4. 国家重点研发计划项目子课题,千米级跨度高速铁路桥梁空间荷载作用特征及组合模式,2022.12.01-2025.11.30,参研3. Project from University of California San Diego, Innovative Technologies in Structural Health Monitoring for Condition Assessment and Future Reliability Prediction,参研2. Project from Ford Motor Company, Likelihood-Free Calibration Approaches for Correction of CAE Model and Tests with Incomplete Information,参研1. Project from Centre for Offshore Research and Engineering, NUS, Reliability Analysis of Offshore Floating Wind Turbines,参研Journal ReviewerASCE: Journal of Engineering Mechanics, Journal of Aerospace Engineering, Journal of Water Resources Planning and Management, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems. Part A, Civil EngineeringASME: Journal of Mechanical Design, Journal of Verification, Validation and Uncertainty Quantification, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems. Part B, Mechanical EngineeringElsevier: Reliability Engineering & System Safety, Mechanical Systems and Signal Processing, Computer Methods in Applied Mechanics and Engineering, Applied Mathematical Modelling, Structural Safety, Computers & Structures, Engineering Structures, Probabilistic Engineering Mechanics, Ocean Engineering, Advances in Engineering Software, Aerospace Science and Technology, Computers & Industrial Engineering, Thin-Walled Structures, SoftwareX, Journal of the Franklin Institute, Computer Physics CommunicationsSpringer: Structural and Multidisciplinary OptimizationOther journals: Computer Modeling in Engineering & SciencesJournal Papers[31] Zhao Zhao, YingMin Low*. Efficient Simulation of Space-Time Random Fields of Ocean Waves Using the Joint Wavenumber-Frequency Spectrum. Journal of Engineering Mechanics. 2026, 152(9): 04026048.[30] Jice Zeng, Zi-Jun Cao, Zhao Zhao*, Rong Chen, Ping Wang. A Deep Generative Modeling Framework for Reliability-Based Design Optimization Using Conditional Normalizing Flow. Journal of Mechanical Design. 2026, 148: 121703.[29] Zhao Zhao, Teng-Fei Xu, Zhao-Hui Lu*, Yan-Gang Zhao. Efficient simulation of conditional random fields by Karhunen–Loève expansion. Mechanical Systems and Signal Processing. 2026, 247: 113938[28] Zhao Zhao, Yichao Zeng, Joshua W. Dyer, Manuel A. Vega, Michael D. Todd, and Zhen Hu*. Towards a better understanding of model bias correction of nonlinear dynamic simulation models. Acta Mechanica Sinica. 2026, 42(8): 724887.[27] Zhao Zhao, Joshua W. Dyer, Manuel A. Vega, Michael D. Todd, and Zhen Hu*. A modularized model uncertainty quantification framework for simulating nonlinear dynamic systems. Nonlinear Dynamics. 2025, 113(21): 29007-29040.[26] Zhao Zhao, YingMin Low*. A simple and accurate method for quantifying the area effect of unidirectional extreme ocean waves. Applied Mathematical Modelling. 2025, 148:116267.[25] Zhao Zhao, Ying Min Low*. Extreme value analysis of multivariate Gaussian processes with wave-passage effects. Journal of Sound and Vibration. 2025, 596: 118703.[24] Zhao-Hui Lu, Wan-Ting Pei, Zhao Zhao*, Zengzhi Qian. Efficient Bayesian updating with single-loop Kriging model for time-dependent model calibration. Computer Methods in Applied Mechanics and Engineering. 2025, 444: 118150[23] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. A novel single-loop estimation method for predictive failure probability-based global sensitivity analysis. Reliability Engineering & System Safety. 2024, 250: 110249[22] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. Conditional simulation of stationary non-Gaussian processes based on unified Hermite polynomial model. Probabilistic Engineering Mechanics. 2024, 76: 103609.[21] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao, Teng-Fei Xu, Yan-Fei Zhang. A novel random-interval hybrid reliability analysis method combining active learning Kriging and two-phase subset simulation. Structures. 2024, 63: 106383.[20] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. Simulating non-stationary and non-Gaussian cross-correlated fields using multivariate Karhunen–Loève expansion and L-moments-based Hermite polynomial model. Mechanical Systems and Signal Processing. 2024, 216: 111480[19] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. P-AK-MCS: Parallel AK-MCS method for structural reliability analysis. Probabilistic Engineering Mechanics. 2024, 75: 103573.[18] Zhao Zhao, Zhao-Hui Lu*, Xuan-Yi Zhang, Yan-Gang Zhao. An efficient extreme value moment method for estimating time‑dependent profust failure probability. Engineering with Computers. 2024, 40: 423–436[17] Zhao Zhao, Zhao-Hui Lu*, Xuan-Yi Zhang, Yan-Gang Zhao. Simulating Multivariate Multidimensional Homogenous Non-Gaussian Field based on Unified Hermite Polynomial Model. Journal of Engineering Mechanics. 2023, 149(7): 06023001.[16] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. An efficient interval moment method for uncertainty propagation analysis with non-parameterized probability-box. Acta Mechanica. 2023, 234: 3321–3336.[15] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. A Kriging-assisted two-stage adaptive radial-based importance sampling method for random-interval hybrid reliability analysis. Structural and Multidisciplinary Optimization. 2023, 66:136.[14] Zhao Zhao, Ying Min Low*. Extreme value analysis of high-dimensional Gaussian vector processes. Journal of Sound and Vibration. 2023, 567: 118067.[13] Zhao Zhao, Yan-Gang Zhao, Pei-Pei Li*. A novel decoupled time-variant reliability-based design optimization approach by improved extreme value moment method. Reliability Engineering and System Safety. 2023, 229: 108825.[12] Zhao Zhao, Ying Min Low*. Efficient method for approximating the joint extreme value distribution of multivariate stationary Gaussian processes. Journal of Engineering Mechanics. 2023, 149(4): 04023020.[11] Zhao Zhao, Zhao-Hui Lu*, Chun-Qing Li, Yan-Gang Zhao. Efficient simulation method for first passage problem of linear systems subjected to non-Gaussian excitations. Journal of Engineering Mechanics. 2022, 148(1): 04021128.[10] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. Time‑variant reliability analysis using moment‑based equivalent Gaussian process and importance sampling. Structural and Multidisciplinary Optimization. 2022, 65:73.[9] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. An efficient extreme value moment method combining adaptive Kriging model for time-variant imprecise reliability analysis. Mechanical Systems and Signal Processing. 2022, 171: 108905.[8] Zhao Zhao, Yan-Gang Zhao, Pei-Pei Li*. Efficient approach for dynamic reliability analysis based on uniform design method and Box-Cox transformation. Mechanical Systems and Signal Processing. 2022, 172: 108967.[7] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. Simulating multivariate stationary non-Gaussian process based on wavenumber–frequency spectrum and unified Hermite polynomial model. Probabilistic Engineering Mechanics. 2022, 69: 103272.[6] Pei-Pei Li, Yan-Gang Zhao, Zhao Zhao*. Efficient method for fully quantifying the uncertainty of failure probability. Computer Methods in Applied Mechanics and Engineering. 2022, 399: 115345.[5] Zhao Zhao, Zhao-Hui Lu*, Xuan-Yi Zhang, Yan-Gang Zhao. A nested single-loop Kriging model coupled with subset simulation for time-dependent system reliability analysis. Reliability Engineering and System Safety. 2022, 228: 108819.[4] Zhao Zhao, Zhao-Hui Lu*, Yan-Gang Zhao. An efficient method for predictive‑failure‑probability‑based global sensitivity analysis. Structural and Multidisciplinary Optimization. 2022, 65:329.[3] Ming-Na Tong, Yan-Gang Zhao, Zhao Zhao*. Simulating strongly non-Gaussian and non-stationary processes using Karhunen–Loève expansion and L-moments-based Hermite polynomial model. Mechanical Systems and Signal Processing. 2021, 160: 107953.[2] Zhao Zhao, Zhao-Hui Lu*, Chun-Qing Li, Yan-Gang Zhao. Dynamic reliability analysis for non-stationary non-Gaussian response based on the bivariate vector translation process. Probabilistic Engineering Mechanics. 2021, 66: 103143.[1] Zhao-Hui Lu, Zhao Zhao, Xuan-Yi Zhang*, Chun-Qing Li, Xiao-Wen Ji, Yan-Gang Zhao. Simulating stationary non-Gaussian process based on unified Hermite polynomial model. Journal of Engineering Mechanics. 2020, 146(7): 04020067.Invited Talk2. 多点随机过程首次超越概率计算方法及其工程应用，第十届全国结构设计理论与工程应用学术会议，燕山大学，秦皇岛，2026.1. 多变量随机过程首次超越概率计算方法及其工程应用，第三届全国桥梁智能建造与运维创新大会，东南大学，南京，2025.--Updated as of July 2026