Researchers in Yongjie Jessica Zhang’s lab develop novel algorithms on biomodeling at molecular, cellular, tissue and organ scales, and explore applications in various application fields. The group is mainly focused on applications in biomedical fields, but is also working on projects in other fields including mechanical engineering, materials science, and electrical engineering.
George Tallman Ladd and Florence Barrett Ladd Professor of Mechanical Engineering
The Computational Bio-Modeling Lab's research includes computational geometry (especially mesh generation), computer graphics, visualization, finite element method, isogeometric analysis and their applications in computational biomedicine, computational biology, and engineering. We are mainly focusing on applications in biomedical fields, but we are also working on projects in mechanical engineering, materials science, electrical engineering, civil engineering, architecture, geological engineering, and petroleum engineering.
This research focuses on developing novel, robust, automatic, and accurate techniques to construct high-fidelity geometric models and quality finite element meshes directly from volumetric imaging data for arbitrarily complicated topology and geometry.
Through computer design software we integrate geometry and analysis by constructing volumetric spline parameterization and use them in isogeometric analysis directly.
We develop automatic and robust algorithms and software tools for high-fidelity (correct topology and accurate geometry) geometric modeling and mesh generation for polycrystalline materials. This work supports the understanding, control, and optimization of grain boundary dominated materials properties: GBCD/GBED distribution and mechanics characterization.
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| Course | Course Name | Location | Units | Semester Offered |
|---|---|---|---|---|
| 24-311 | Numerical Methods | Pittsburgh | 12 | Spring |
For a list of Jessica Zhang’s publications, please see the following:
SIAM
MechE’s Jessica Zhang was featured by SIAM in celebrating Women’s History Month, for her contributions to the applied mathematics and computational science field.
ASME IMECE
MechE’s Jessica Zhang presented at the ASME IMECE: CONCAM Distinguished Lectures on Computational Mechanics, where she discussed her research on modeling traffic jam and growth process of neurons using isogeomtric analysis and physics-informed neural network.
IMACS World Congress
MechE’s Jessica Zhang delivered a virtual keynote at the 21st International Association for Mathematics and Computers in Simulation (IMACS) World Congress conference.
CMU Engineering
Predicting neuron cell growth just got a little bit easier, thanks to CMU researchers.
Biomechanics Workshop of Program Uncertainty Quantification and Stochastic Modeling of Materials on Mathematical Mechanical Biology
MechE’s Jessica Zhang spoke at Biomechanics Workshop of Program Uncertainty Quantification and Stochastic Modeling of Materials on Mathematical Mechanical Biology: Old School and New School, Methods and Applications at Isaac Newton Institute for Mathematical Sciences, Cambridge, UK on July 31 - August 4.
IAMBE
MechE’s Jessica Zhang has been elected to the International Academy of Medical and Biological Engineers (IAMBE), class of 2023. IAMBE is made up of fellows who are recognized for their outstanding contributions to the profession of medical and biological engineering.
AIMBE
MechE’s Jessica Zhang has been elected chair-elect of the American Institute for Medical and Biological Engineering (AIMBE)’s College of Fellows.
SIAM
MechE’s Jessica Zhang has been selected as a Class of 2023 Society for Industrial and Applied Mathematics (SIAM) Fellow for exemplary research and outsanding service to the community.
SIAM
MechE’s Jessica Zhang was an invited plenary speaker at the SIAM International Meshing Roundtable Workshop on March 6 - 9, 2023 in Amsterdam, The Netherlands. She presented her latest research on modeling traffic jam and growth process of neurons using isogeometric analysis and physics-informed neural network.
Clarivate Analytics
According to Citation data from Clarivate Analytics, Mech’s Jessica Zhang’s paper “Tuned Hybrid Nonuniform Subdivision Surfaces with Optimal Convergence Rates” is recognized as one of the top cited articles published in an issue of International Journal for Numerical Methods in Engineering between January 1, 2021 through December 15, 2022.
SIAM
MechE’s Jessica Zhang was elected program director of the Society for Industrial and Applied Mathematics Activity Group on Geometric Design.
MechE’s Jessica Zhang was a plenary speaker of the 10th International Conference on Isogeometric Analysis in Banff, Canada on November 6-9, 2022.
