Hangjie Ji
Bio
Hangjie Ji is an assistant professor in mathematics at North Carolina State University. Before coming to NC State, she was an assistant adjunct professor for the Program in Computing at UCLA Department of Mathematics working. She completed her Ph.D. in Mathematics at Duke University.
Education
Ph.D Mathematics Duke University 2017
M.S. Computer Science Duke University 2016
B.S. Mathematics Zhejiang University 2012
Area(s) of Expertise
Ji's research interests lie in nonlinear partial differential equations, scientific computing and data-driven mathematical modeling, with a focus on their applications in physics, engineering, and medicine.
Publications
- Asymptotic behavior of α-entropy solutions to the thin film equation on the sphere , Journal of Mathematical Analysis and Applications (2026)
- Analysis of a Radiotherapy Model for Brain Tumors , Studies in Applied Mathematics (2025)
- Radiogenomic explainable AI with neural ordinary differential equation for identifying post‐SRS brain metastasis radionecrosis , Medical Physics (2025)
- Thermocapillary instabilities in thin liquid films on a rotating cylinder , International Journal of Heat and Mass Transfer (2025)
- Analysis of a Radiotherapy Model for Brain Tumors , ArXiv (2024)
- Coarsening of Thin Films with Weak Condensation , SIAM Journal on Applied Mathematics (2024)
- Coarsening of thin films with weak condensation , ArXiv (2024)
- Mean field control of droplet dynamics with high order finite element computations , ArXiv (2024)
- Mean field control of droplet dynamics with high-order finite-element computations , Journal of Fluid Mechanics (2024)
- Modeling film flows down a rotating slippery cylinder , ArXiv (2024)
Grants
Thin liquid films flowing down a vertical fiber, known as fiber coating, is a fundamental component in many engineering applications including mass and heat exchangers for thermal desalination, water vapor and ultra-fine particle capture. The main objective of this project is to develop a hybrid numerical and machine learning framework to accelerate the computation and control for large-scale stiff problems that arise from fiber coating systems.