姜言，副教授，工学博士/博士后，硕士生导师。研究方向主要包括高速铁路风速预测以及风电场风能预测；风资源评估及概率风荷载分析；风致疲劳及风振可靠性研究；山区复杂风场激励下高柔结构风荷载特性及风振响应；桥梁健康监测等。
科研项目
1) 国家自然科学基金-青年科学基金项目，主持；
2) 中国博士后面上项目，主持；
3) 重庆市科技局-自然科学基金-面上项目，主持；
4) 重庆市博士后特别资助项目，主持；
5) 科技中央高校基本科研业务专项，主持。
科研成果：
在国际和国内权威期刊上共发表论文30篇（一作/通讯21篇，中科院1区论文14篇、2区论文9篇、ESI高被引3篇）。其中，SCI论文26篇、EI论文3篇；授权发明专利6项、软件著作权1项，主要包括为：
[1] Jiang, Y, Huang G*. Short-term wind speed prediction: Hybrid of ensemble empirical mode decomposition, feature selection and error correction. Energy Conversion and Management 144 (2017): 340-350. (中科院1区、Top期刊)
[2] Jiang, Y, Huang G*, Peng X, Li Y, Yang, Q. A novel wind speed prediction method: Hybrid of correlation-aided DWT, LSSVM and GARCH. Journal of Wind Engineering and Industrial Aerodynamics, 174 (2018), 28-38. (中科院2区)
[3] Jiang Y, Huang G*, Yang Q, Zhang C, Yan Z. A novel probabilistic wind speed prediction approach using real time refined variational model decomposition and conditional kernel density estimation. Energy Conversion and Management, 185 (2019): 758-773 (中科院1区、Top期刊)
[4] Huang G, Jiang Y, Peng L*, Solari G, Liao H, Li M. Characteristics of Intense Wind in Mountain Area Based on Field Measurement : Focusing on thunderstorm winds. Journal of Wind Engineering and Industrial Aerodynamics 2019, 190, 166-182. (中科院2区)
[5] Jiang, Y., Zhao, N., Peng, L., Liu, S. A new hybrid framework for probabilistic wind speed prediction using deep feature selection and multi-error modification. Energy Conversion and Management, 199 (2019), 119881. (中科院1区，Top期刊)
[6] Jiang, Y., Zhao, N., Peng, L., Zhao, L., Liu, M. Simulation of stationary wind field based on adaptive interpolation-enhanced scheme. Journal of Wind Engineering and Industrial Aerodynamics, 195 (2019), 104001. (中科院1区)
[7] Jiang, Y., Liu, S., Peng, L., Zhao, N. A novel wind speed prediction method based on robust local mean decomposition, group method of data handling and conditional kernel density estimation. Energy Conversion and Management, 200 (2019), 112099. (中科院1区，Top期刊)
[8] Jiang, Y., Liu, S., Zhao, N., Xin, J., Wu, B. Short-term wind speed prediction using time varying filter-based empirical mode decomposition and group method of data handling-based hybrid model. Energy Conversion and Management, 220 (2020), 113076. (中科院1区，Top期刊)
[9] Jiang, Y., Zhao, N., Peng, L., Xin, J., Liu, S. Fast simulation of fully non-stationary wind fields using a new matrix factorization assisted interpolation method. Mechanical Systems and Signal Processing, 2022, 172, 108973. (中科院1区，Top期刊)
[10] Jiang Y., Hui, Y., Wang, Y., Peng, L., Huang, G., Liu, S. A novel eigenvalue-based iterative simulation method for multi-dimensional homogeneous non-Gaussian stochastic vector fields. Structural safety, 2023, 100, 102290. (中科院1区，Top期刊)
[11] Zhou, S., Jiang, Y.（通讯作者）, Li, X., Wu, Q. VIBRATION-BASED DAMAGE IDENTIFICATION OF REINFORCED CONCRETE ARCH BRIDGES USING KALMAN–ARMA–GARCH MODEL. International Journal of Robotics and Automation, 2021, 36. (中科院4区)
[12] Zhao, N., Jiang, Y.（通讯作者）, Peng, L., Chen, X. Fast simulation of nonstationary wind velocity fields by proper orthogonal decomposition interpolation. Journal of Wind Engineering and Industrial Aerodynamics, 219 (2021), 104798. (中科院1区)
[13] Xin, J., Jiang, Y.（通讯作者）, Zhou, J., Peng, L., Liu, S., Tang, Q. Bridge deformation prediction based on SHM data using improved VMD and conditional KDE. Engineering Structures, 2022, 261, 114285. (中科院2区，Top)
[14] Tang, Q., Xin, J., Jiang, Y.（通讯作者）, Zhou, J., Li, S., Fu, L. Fast identification of random loads using the transmissibility of power spectral density and improved adaptive multiplicative regularization. Journal of Sound and Vibration, 2022, 117033. (中科院2区，Top)
[15] Tang, Q., Xin, J., Jiang, Y.（通讯作者）, Zhou, J., Li, S., Chen, Z. Novel identification technique of moving loads using the random response power spectral density and deep transfer learning. Measurement, 2022, 195, 111120. (中科院2区, ESI高被引)
[16] Chen, X., Jiang, Y.（通讯作者）, Zhao, N., Jia, S., Wang, X., Tan, S. Simulation of stationary and nonstationary wind velocity field along a long-span bridge using a numerical truncation method. Journal of Wind Engineering and Industrial Aerodynamics, 2022, 231, 105206. (中科院1区)
[17] Liu, M., Peng, L., Huang, G., Yang, Q., Jiang, Y. Simulation of stationary non-Gaussian multivariate wind pressures using moment-based piecewise Hermite polynomial model. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 196, 104041. (中科院2区)
[18] Liu, S., Jiang, Y.（通讯作者）, Li, M., Xin, J., Peng, L. Long period ground motion simulation and its application to the seismic design of high-rise buildings. Soil Dynamics and Earthquake Engineering, 2021, 143, 106619. (中科院2区)
[19] Xin, J., Zhou, C., Jiang, Y.（通讯作者）, Tang, Q., Yang, X., & Zhou, J. (2023). A signal recovery method for bridge monitoring system using TVFEMD and encoder-decoder aided LSTM. Measurement, 112797.(中科院2区)
[20] Liu, S., Jiang, Y., Qiao, K., Peng, L., & Liu, D. (2023). Record-based simulation of three-component long-period ground motions: Hybrid of surface wave separation and multivariate empirical mode decomposition. Soil Dynamics and Earthquake Engineering, 172, 108037.(中科院2区)
[21] Wu, F., Liu, M., Huang, G., Peng, L., Guo, Z., Jiang, Y. Simulation of stationary non-Gaussian multivariate wind pressures based on moment-based piecewise Johnson transformation model. Probabilistic Engineering Mechanics, 2022, 68, 103225. (中科院2区)
[22] Li, B., Peng, L., Jiang, Y., Wu, F., Hui, Y., Luo, Y. Simulation of stationary non-Gaussian stochastic vector processes using an eigenvalue-based iterative translation approximation method. Mechanical Systems and Signal Processing, 2022, 175, 109128. (中科院1区, Top期刊)
[23] Liu, S., Luo, Y., Peng, L., Jiang, Y., Meng, E., Li, B. Wind pressure field reconstruction based on unbiased conditional kernel density estimation. Journal of Wind Engineering and Industrial Aerodynamics, 2022, 223, 104947. (中科院1区)
[24] Meng, E., Yu, Y., Jiang, Y., Liu, S., Su, Y. Study on Restoring Force Model of RACFST Frame Infilled with RHB Masonry Wall. International Journal of Steel Structures, 2022, 22(2), 597-609. (中科院4区)
[25] Li, S., Xin, J., Jiang, Y., Wang, C., Zhou, J., & Yang, X. (2023). Temperature-induced deflection separation based on bridge deflection data using the TVFEMD-PE-KLD method. Journal of Civil Structural Health Monitoring, 13(2-3), 781-797. (中科院3区)
[26] Li, X., Li, S., Jiang, Y., & Su, Y. (2023). Simulation of 4th-order non-Gaussian random processes by higher-order spectral representation method. Mechanical Systems and Signal Processing, 198, 110407. (中科院1区, Top期刊)
[27] 黄国庆, 范宇航, 姜言（通讯作者）. (2022). 基于改进T-B谱方法的高层建筑风致疲劳损伤分析. 振动与冲击, 41(5), 243-250. (EI)
[28] 姜言, 黄国庆, 彭新艳, 李永乐. (2016). 基于 GARCH 的短时风速预测方法.西南交通大学学报, 51(4), 663-669. (EI)
[29] 吴凤波, 姜言（通讯作者）, 彭留留, 吴波, 罗颖. (2022). 基于矩的传递函数模型的“不兼容”非高斯风压过程模拟研究. 振动与冲击, 2022, 41(24): 142-149. DOI:10.13465/j.cnki.jvs.2022.24.018. (EI)
社会兼职与期刊审稿人
国际SCI期刊Frontiers in Built Environment审稿编辑；国际SCI期刊《Buildings》客座主编；国际期刊《Intelligence and Robotics》客座主编；中国可再生能源学会会员；中国振动工程学会高级会员；鉴衡可再生能源专家委员会成员；参编行业标准文件1项与企业指南1项；担任了第十二届全国随机振动理论与应用学术会议暨第九届全国随机动力学学术会议组委会成员与分会场主席；第五届江苏风工程会议“特邀报告”专家；担任了15余本国内、国际主流SCI期刊的审稿人（《Energy Conversion and Management》、《Mechanical Systems and Signal Processing》、《Journal of Wind Engineering and Industrial Aerodynamics》、《Engineering structures》、《Journal of Sound and Vibration》、《Energy》、《Energy reports》、《Applied energy》）。
授权发明专利与软件著作权
1. 发明专利：一种基于功率谱传播的桥梁随机激励识别方法；
2. 发明专利：一种桥梁变形实时预测方法；
3. 发明专利：一种基于考虑分量关联性小波分解的混合风速预测方法；
4. 发明专利：一种用于山区风场模拟的过渡曲线的确定方法；
5. 发明专利：基于Piecewise-Johnson变换的非高斯风压模拟方法及系统和存储介质；
6. 软件著作权：基于EEMD和特征选择的风速预测软件。