Yongjie Jessica Zhang

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Yongjie Jessica Zhang is an American mechanical engineer. She is a professor of mechanical engineering and, by courtesy, of biomedical engineering at Carnegie Mellon University.[1]


Zhang's research involves geometric modeling, mesh generation, image processing, finite element method and isogeometric analysis.[1] She has applied her research for biomedicine and in particular for analysing blood vessels and neurons,[2] as well as to ship design[3] and the design of fiber-reinforced composite building materials.[4]


Zhang is originally from Henan, China,[3] and earned a bachelor's degree in automotive engineering and a master's degree in engineering mechanics at Tsinghua University. She then moved to the University of Texas at Austin, where she earned a second master's degree in aerospace engineering and engineering mechanics, and a Ph.D. from the University of Texas Institute for Computational Engineering and Sciences[1] under the supervision of Chandrajit Bajaj.[5]

After staying on at the University of Texas for postdoctoral studies with Bajaj and Thomas J.R. Hughes,[5] she joined the mechanical engineering department at Carnegie Mellon in 2007.[1]


The US Association for Computational Mechanics awarded Zhang their Gallagher Young Investigator Medal in 2013, "for pioneering research in high-fidelity geometric modeling and mesh generation with broad interdisciplinary finite element applications in computational biomedicine, material sciences and engineering".[5] She also won a Presidential Early Career Award for Scientists and Engineers in 2013.[3]

Selected publications[edit]


  • Zhang, Yongjie Jessica (2016), Geometric Modeling and Mesh Generation from Scanned Images, CRC Press[6]

Research papers[edit]

  • Bazilevs, Y.; Calo, V. M.; Hughes, T. J. R.; Zhang, Y. (August 2008), "Isogeometric fluid-structure interaction: theory, algorithms, and computations", Computational Mechanics, 43 (1): 3–37, doi:10.1007/s00466-008-0315-x
  • Liao, Tao; Li, Xinge; Xu, Guoliang; Zhang, Yongjie Jessica (January 2016), "Secondary Laplace operator and generalized Giaquinta–Hildebrandt operator with applications on surface segmentation and smoothing", Computer-Aided Design, 70: 56–66, doi:10.1016/j.cad.2015.07.009. Best paper at SPM 2015.[7]
  • Hu, Kangkang; Zhang, Yongjie Jessica; Xu, Guoliang (2017), "CVT-based 3D image segmentation for quality tetrahedral meshing", in Barneva, R.; Brimkov, V.; Tavares, J., Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications: CompIMAGE 2016, Lecture Notes in Computer Science, 10149, Cham: Springer, pp. 27–42, doi:10.1007/978-3-319-54609-4_2. Best paper at CompIMAGE 2016.[8]


  1. ^ a b c d Yongjie Jessica Zhang: Professor, Mechanical Engineering, Carnegie Mellon University, retrieved 2018-10-27
  2. ^ Yang, Marika, Engineers Ge Yang and Jessica Zhang are using complex geometric analysis to learn about neuron function and unlock the mysteries of the human brain, Carnegie Mellon University, retrieved 2018-10-27
  3. ^ a b c Zlatos, Bill (December 23, 2013), "CMU professor wins science honor", Trib, retrieved 2018-10-27
  4. ^ Quelle, Kathryn Anne (October 9, 2018), Researchers collaborate to develop self-assembling structures to lower manufacturing costs, Carnegie Mellon University, retrieved 2018-10-27
  5. ^ a b c CSEM Alum Jessica Zhang Receives USACM Young Investigator Award, University of Texas at Austin Institute for Computational Engineering and Sciences, June 12, 2013, retrieved 2018-10-27
  6. ^ Song, Yongzhong, "Review of Geometric Modeling and Mesh Generation from Scanned Images", Mathematical Reviews, MR 3643251
  7. ^ SPM Conferences, retrieved 2018-10-27
  8. ^ CompIMAGE16, retrieved 2018-10-27

External links[edit]