• 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

    • Design automation
    • AI and machine learning
    • Optimization
    • Functional materials
    • Advanced manufacturing

Industry Experience

    • Research Scientist at Siemens Technology (Princeton, NJ)

Awards & Honors

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

Selected Publications

  • 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.
  • 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.
  • Chen, W. & Fuge, M. (2018). Active expansion sampling for learning feasible domains in an unbounded input space. Structural and Multidisciplinary Optimization, 57(3), 925- 945. doi:10.1007/s00158-017-1894-y.
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