• Assistant Professor, Mechanical Engineering
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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

  • Khan, S., Masood, Z., Usama, M., Kostas, K., Kaklis, P., & Chen, W. (2025). Physics-informed geometric operators to support surrogate, dimension reduction and generative models for engineering design. Advanced Engineering Informatics, 63, 102937.
  • Chen, W., Sun, R., Lee, D., Portela, C. M., & Chen, W. (2024). Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning. Advanced Intelligent Systems, 2400611.
  • Lee, D., Chen, W., Wang, L., Chan, Y. C., & Chen, W. (2024). Data‐Driven Design for Metamaterials and Multiscale Systems: A Review. Advanced Materials, 36(8), 2305254.
  • Chen, W., Lee, D., Balogun, O., & Chen, W. (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., Fuge, M., & Rai, R. (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.
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