Background

 Dr. Wang’s research interests include Computational and data-enabled science and engineering (CDS&E) and its applications in multiphysics and multiscale systems engineering, including fluid structural interaction, microfluidics/nanofluidics, thermal and energy management, additive manufacturing, among others. The specific focuses are (1) physics-based adaptive modeling, from high-fidelity multiphysics CFD/FEM analysis to reduced order modeling and closed-form modeling for real-time simulation, trade space exploration, and process control; (2) data-driven multi-fidelity surrogate modeling for multidisciplinary analysis and optimization, large-scale system-level simulation, and adaptive model integration; (3) massive and real-time data analytics, discovery, and management, including engineering data mining, parameter estimation, uncertainty quantification, machine learning, and green computing & visualization; and (4) cyberphysical and autonomous systems, including model development, system design, computer vision, artificial intelligence, control synthesis, hardware development, and experimentation, with the long-term goal towards engineering intelligence.

Education

• Ph.D., Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, 2005
• M.S., Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, 2000
• B.S., Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China, 1998

Experience 

• Professor, Mechanical Engineering, University of South Carolina, 2024 - Present
• Associate Professor, Mechanical Engineering, University of South Carolina, 2017-2023
• Director, Biomedical and Energy Technologies, CFD Research Corporation, 2014-2017
• Manager, Biomedical and Energy Technologies, CFD Research Corporation, 2011-2014
• Group Leader, Biomedical and Energy Technologies, CFD Research Corporation, 2009-2011
• Senior Engineer, Biomedical and Energy Technologies, CFD Research Corporation, 2007-2009
• Engineer, Biomedical and Energy Technologies, CFD Research Corporation, 2005-2007

Selected Publications

•   J. Guo, G. Song, Y. Wang*, “A Memory and Retrieval Transformer-based Unsupervised Learning Model for Anomaly Detection and Segmentation”, Pattern Recognition, Vol. 174, Art. No. 113004, 2026, https://doi.org/10.1016/j.patcog.2025.113004.

• H. Yang, A. Wold, J. Ou, J.J. Rech, W. You*, Y. Wang*, “OSC-Net: A Multi-fidelity Machine Learning Model for Organic Solar Cell”, Journal of Materials Chemistry A, Vol. 14, 1208, 2026, https://doi.org/10.1039/D5TA08724D.

• C. Sevart, J. Kim, Y. Wang*, J. Simac, A. Kaminsky, “Optimal Sensor Placement and Parametric Aerostructural Control based on State-Consistent Reduced-Order Models”, AIAA Journal, 2025, https://doi.org/10.2514/1.J065110.

• J. Guo, S. Zhang, N. Amiri, L. Yu, Y. Wang*, "An Adversarial Transformer for Anomalous Lamb Wave Pattern Detection", Neural Network, Vol. 185, Art. No. 107153, 2025, https://doi.org/10.1016/j.neunet.2025.107153.

• J. Ou, G. Song, Y. Wang*, “GPU-enabled Path Planning based on Global Evolutionary Dynamic Programming and Local Genetic Algorithm Optimization”, Applied Soft Computing, Vol. 176, No. 113167, 2025, https://doi.org/10.1016/j.asoc.2025.113167.

• S.H. Hong, B. Albia, T. Kyzer, J. Cornelius, E.R. Mark, A.J. Hall, and Y Wang*, "Artificial Neural Network-based Model Predictive Visual Servoing for Mobile Robots", Robotica, Vol. 42(8), 2825-2847, 2024, https://doi.org/10.1017/S0263574724001176.

• F. Hashemian, H. Yang, Y Wang*, X Deng, S. Kim, R. Vaidhyanathan, "Parametric Dynamic Simulation and Bayesian Design Optimization of a Front-Loading Washing Machine", Journal of Vibration Engineering & Technologies, Vol. 12, 41-62, 2024, https://doi.org/10.1007/s42417-024-01401-4.

• J. Rains, Y. Wang*, A. House, A.L. Kaminsky, N.A. Tison, V.M. Korivi, "Constrained Optimized Dynamic Mode Decomposition with Control for Physically Stable Systems with Exogeneous Inputs", Journal of Computational Physics, 496, Art. No. 112604, https://doi.org/10.1016/j.jcp.2023.112604.