• Assistant Professor, Mechanical Engineering
Google Scholar Profile
Dr. Wei Chen

Educational Background

  • Ph.D., Mechanical Engineering, University of Maryland, College Park — 2019
  • M.S., Mechanical Engineering, Chongqing University, China — 2015
  • B.S., Mechanical Engineering, Chongqing University, China — 2012

Research Interests

    • Generative design
    • AI and machine learning
    • Uncertainty quantification
    • Advanced manufacturing

Awards & Honors

  • ASME Journal of Mechanical Design Reviewer of the Year Award - 2023
  • ASME DAC Best Paper Award - 2022
  • Journal of Mechanical Design Editors’ Choice Honorable Mention - 2021

Selected Publications

  • Lee, D., Chen, W., Wang, L., et. al. (2024). Data‐Driven Design for Metamaterials and Multiscale Systems: A Review. Advanced Materials, 36(8), 2305254.
  • Chen, W., Lee, D., Balogun, O., et. al. (2023). GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty. Journal of Mechanical Design, 145(1), 011703. doi:10.1115/1.4055898.
  • Wang, J., Chen, W., Da, D., et. al. (2022). IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures. Computer Methods in Applied Mechanics and Engineering, 396, 115060. doi:10.1016/j.cma.2022.115060.
  • Chen, W., & Ahmed, F. (2021). MO-PaDGAN: Reparameterizing Engineering Designs for Augmented Multi-objective Optimization. Applied Soft Computing, 113, 107909. doi:10.1016/j.asoc.2021.107909.
  • Chen, W., Chiu, K., & Fuge, M. (2020). Aerodynamic design optimization and shape exploration using generative adversarial networks. AIAA Journal, 58(11), 4723-4735. doi:10.2514/1.J059317.
Google Scholar Profile