I am actively looking for post-doctoral associate positions and faculty positions!
He-Wen-Xuan (Vincent) Li
A Short Biography
/hə-when-hsuan lee/
Ph.D. Graduand at the University of Rhode Island
In the fall of 2016, I joined the direct Ph.D. program in mechanical engineering and applied mechanics at the University of Rhode Island, majorly involved in an interdisciplinary study that bridges the fatigue of structures and nonlinear dynamics in mechanical structures. I have been working under the supervision of Dr. David Chelidze with a concentration of study on:
1. Fatigue life prediction under irregular loading with similar statistical and spectral characteristics
2. Structural Health monitoring on 3D-printed polymeric beams
3. Experimental and output-only modal analysis on weakly nonlinear mechanical systems
4. Machine learning-based predictive tools for engineering material characterization and degradation prevention
I am also carrying out new projects that are focused on field decomposition methods for the exploration and interpretation of complex spatiotemporal dynamics! I am also looking forward to infusing physical insights into both the unsupervised decomposition method and deep learning-based modal decomposition!
Research Interests:
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Data-Driven Decomposition of Spatiotemporal Fields
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Data-Centric Exploration and Explanation of Physical and Engineering Phenomena
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Synergistic Structural Health Monitoring using Remote and Embedded Sensing
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Fatigue Life Prediction under Variable Amplitude Loading
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Machine-Learning-Based Damage Prediction and Prevention
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Deep-Learning-Based Nonlinear Systems Identification
Current Projects
Smoothness-Informed Spatiotemporal Mode Decomposition of Field Measurements
Synergistic Damage Monitoring in 3D-Printed Structures with Novel Damage Sensory Structures
Predicting Fatigue Crack Propagation from Statistics of Load-time Histories and Overload Statistics
Previous Projects
Band-Limited Smooth Orthogonal Decomposition and Its Applications in Mode Identification
Damage Tracking in 3D-Printed Polymeric Beam Specimens: An Experimental Study
Geometry-Informed Phase Space Warping for Reliable Identification of Temporally-Disparate Dynamics And Application in Damage Monitoring
Fatigue Life Estimation under Irregular Loading with Similar Statistical and Spectral Characteristics
Contact
260 Fascitelli Center for Advanced Engineering
Kingston, RI 02881, USA
401-218-7549
