Yongjie Jessica Zhang

Yongjie Jessica Zhang is an American mechanical engineer. She is the George Tallman Ladd and Florence Barrett Ladd Professor of mechanical engineering and, by courtesy, of biomedical engineering at Carnegie Mellon University.[1]

Contributions

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]

Education

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]

Recognition

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

Book

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

Research papers

  • 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. (eds.), 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]

References

  1. 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. 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. 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
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