主要成果 | 李乐晨，男，1996年生，2018年于四川大学获土木工程学士学位，随后在美国哥伦比亚大学深造，分别于2019年和2023年获得工程力学硕士和博士学位；在结构动力计算与智能化健康监测、水工结构渗流分析与控制，以及电力系统控制与优化算法领域获多项创新研究成果，累积发表高质量SCI论文10余篇，获得多项发明专利授权，参与编写著作3部；曾荣获美国哥伦比亚大学工学院Robert A.W. & Christine S. Carleton Fellowship奖学金（表彰杰出研究学者），以及Teaching Excellence Award教学卓越奖。
论文代表作： Li Lechen, Brügger A., Betti R., Shen Z., Gan L. Vibration-based structural damage localization through a discriminant analysis strategy with cepstral coefficients[J]. Structural Health Monitoring, 2024: 14759217241231034. Li Lechen, Morgantini M., Betti R. Structural damage assessment through a new generalized autoencoder with features in the quefrency domain[J]. Mechanical Systems and Signal Processing, 2023;184:109713. Li Lechen, Betti R. A machine learning-based data augmentation strategy for structural damage classification in civil infrastructure system[J]. Journal of Civil Structural Health Monitoring, 2023:1-21. Li Lechen, Meinrenken C. J., Modi V., Culligan P. J. Short-term apartment-level load forecasting using a modified neural network with selected auto-regressive features[J]. Applied Energy, 2021;287:116509. Li Lechen, Meinrenken C. J., Modi V., Culligan P. J. Impacts of COVID-19 related stay-at-home restrictions on residential electricity use and implications for future grid stability[J]. Energy and Buildings, 2021;251:111330. Li Lechen. A data-driven perspective on residential electricity modeling and structural health monitoring[D]. Columbia University, 2023.
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