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Xiaoping Qian

Xiaoping Qian

Elmer R. and Janet Ambach Kaiser Professor

Department

Mechanical Engineering

Contact

2051 ME, Mechanical Engineering Bldg
1513 University Ave
Madison, WI

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  • PhD 2001, University of Michigan
  • MS 1994, Huazhong University of Science and Technology
  • BA 1992, Huazhong University of Science and Technology

  • Topology optimization and shape optimization for multi-physics systems
  • Optimal design of thermofluid systems
  • Design for additive manufacturing
  • Machine learning based design

  • 2019 College of Engineering, University of Wisconsin-Madison, Kaiser Professorship
  • 2015 ASME , Elected Fellow
  • 2014 ASME IDETC/CIE Conferences, ASME CIE Prakash Krishnaswami Best Paper Award
  • 2012 ASME IDETC/CIE Conferences, ASME CIE Prakash Krishnaswami Best Paper Award
  • 2012 Mechanical, Materials and Aerospace Engineering Department, Illinois Institute of Technology, Excellence in Research Award
  • 2011 ACM Symposium of Solid and Physical Modeling, SPM 11 Best Paper Award
  • 2010 ASME IDETC/CIE Conferences, ASME CIE Prakash Krishnaswami Best Paper Award
  • 2009 Illinois Institute of Technology/Sigma Xi , IIT/Sigma Xi Award for Excellence in University Research
  • 2009 2009 IEEE International Conference on Robotics and Automation (ICRA 2009), Best Automation Paper Award Finalist (Nominated)
  • 2008 Mechanical, Materials and Aerospace Engineering Department, Illinois Institute of Technology, Excellence in Research Award
  • 2008 Illinois Institute of Technology, Greatest Number of Research Awards
  • 2004 GE Global Research, Young Innovator Award, Inspection and Manufacturing Technologies

  • Chen, B., Zhao, X., & Qian, X. (2024). Voxel-based path-driven 3D concrete printing process simulation framework embedding interlayer behavior. Automation in Construction, 168 https://doi.org/10.1016/j.autcon.2024.105776
  • Chen, B., & Qian, X. (2024). Data-driven reliability-oriented buildability analysis of 3D concrete printed curved wall. Additive Manufacturing, 94 https://doi.org/10.1016/j.addma.2024.104459
  • Zhao, X., Mezzadri, F., Wang, T., & Qian, X. (2024). Physics-informed neural network based topology optimization through continuous adjoint. Structural and Multidisciplinary Optimization, 67(8) https://doi.org/10.1007/s00158-024-03856-1
  • Sun, S., Rankouhi, B., Thoma, D. J., Cheadle, M. J., Maples, G. D., Anderson, M. H., Nellis, G., & Qian, X. (2024). Topology optimization, additive manufacturing and thermohydraulic testing of heat sinks. International Journal of Heat and Mass Transfer, 224 https://doi.org/10.1016/j.ijheatmasstransfer.2024.125281
  • Wang, T., & Qian, X. (2023). Topology optimization of HCM/PCM composites for thermal energy storage. Journal of Energy Storage, 73 https://doi.org/10.1016/j.est.2023.108972
  • Mezzadri, F., Gasick, J., & Qian, X. (2023). A Framework for Physics-Informed Deep Learning Over Freeform Domains. CAD Computer Aided Design, 160 https://doi.org/10.1016/j.cad.2023.103520
  • Wang, T., Gasick, J., Sun, S., & Qian, X. (2023). A comparison of manufacturing constraints in 3D topologically optimized heat sinks for forced air cooling. Engineering with Computers, 39(3), 1711-1733 https://doi.org/10.1007/s00366-023-01786-y
  • Gasick, J., & Qian, X. (2023). Isogeometric neural networks: A new deep learning approach for solving parameterized partial differential equations. Computer Methods in Applied Mechanics and Engineering, 405 https://doi.org/10.1016/j.cma.2022.115839
  • Flynn, N., & Qian, X. (2023). HEAT SINK DESIGN OPTIMIZATION VIA GAN-CNN COMBINED DEEP-LEARNING. In Proceedings of the ASME Design Engineering Technical Conference https://doi.org/10.1115/DETC2023-116429
  • Wang, T., & Qian, X. (2023). ON-THE-FLY DUAL REDUCTION METHOD ON TRANSIENT FLUID TOPOLOGY OPTIMIZATION. In Proceedings of the ASME Design Engineering Technical Conference https://doi.org/10.1115/DETC2023-114806

  • M E 489 - Honors in Research (Spring 2025)
  • M E 890 - PhD Research and Thesis (Spring 2025)
  • M E 990 - Dissertator Research and Thesis (Spring 2025)
  • M E 489 - Honors in Research (Fall 2024)
  • M E 536 - Data Driven Engineering Design (Fall 2024)
  • M E 890 - PhD Research and Thesis (Fall 2024)
  • M E 990 - Dissertator Research and Thesis (Fall 2024)
  • M E 890 - PhD Research and Thesis (Summer 2024)
  • M E 990 - Dissertator Research and Thesis (Summer 2024)
  • M E 489 - Honors in Research (Spring 2024)
  • M E 491 - Mechanical Engineering Projects I (Spring 2024)
  • M E 890 - PhD Research and Thesis (Spring 2024)
  • M E 903 - Graduate Seminar (Spring 2024)
  • M E 990 - Dissertator Research and Thesis (Spring 2024)
  • M E 491 - Mechanical Engineering Projects I (Fall 2023)
  • M E 535 - Computer-Aided Geometric Design (Fall 2023)
  • M E 890 - PhD Research and Thesis (Fall 2023)
  • M E 903 - Graduate Seminar (Fall 2023)
  • M E 990 - Dissertator Research and Thesis (Fall 2023)
  • M E 890 - PhD Research and Thesis (Summer 2023)