I received B.S. in mathematics from Peking University, China, and Ph.D. in computational mathematics from Stanford University, USA. Currently I am an assistant professor in the math department at UTEP.

• Ph D in Computational and Mathematical Engineering, Stanford University (2012)

• Mathematical modeling of PDGF-driven glioma reveals the dynamics of immune cells infiltrating into tumors Neoplasia (2020), Ben Niu, Xianyi Zeng, Tuan Anh Phan, Frank Szulzewsky, Sarah Holte, Eric C. Holland, Jianjun P. Tian.
• On finite volume discretization for infiltration dynamics in tumor growth models Adv. Comput. Math. (2019), Xianyi Zeng, Mashriq A. Saleh, Jianjun P. Tian.
• An ALE/embedded boundary method for two-material flow simulations Comput. Math. Appl. (2019), Xianyi Zeng, Kangan Li, Guglielmo Scovazzi.
• Linear hybrid-variable methods for advection equations Adv. Comput. Math. (2019), Xianyi Zeng.
• A dynamic variational multiscale method for viscoelasticity using linear tetrahedral elements Int. J. Num. Meth. Eng. 112 (2017), Xianyi Zeng, Guglielmo Scovazzi, Nabil Abboud, Oriol Colomes, Simone Rossi.
• A velocity/stress mixed stabilized nodal finite element for elastodynamics: Analysis and computations with strong and weak boundary conditions Comput. Methods Appl. Mech. Eng. 325 (2017), Guglielmo Scovazzi, Ting Song, Xianyi Zeng.
• An enhanced FIVER method for multi-material flow problems with second-order convergence rate Journal of Computational Physics 329 (2017), Alex Main, Xianyi Zeng, Philip Avery, Charbel Farhat.
• A General Approach to Enhance Slope Limiters in MUSCL Schemes on Nonuniform Rectilinear Grids SIAM Journal on Scientific Computing 38 2 (2016), Xianyi Zeng.
• A variational multiscale finite element method for monolithic ALE computations of shock hydrodynamics using nodal elements Journal of Computational Physics 315 (2016), Xianyi Zeng, Guglielmo Scovazzi.

• A superconvergent hybrid-variable discretization method for hyperbolic problems (2021), Volume Chicago, IL, United States, Xianyi Zeng, Md Mahmudul Hasan.
• A hybrid-variable discretization method for hyperbolic problems (2020), Volume Texas A&M University, Xianyi Zeng, Md Hasan.
• A finite volume method for infiltration dynamics in tumor growth models (2020), Volume Denver, CO, Xianyi Zeng, Mashriq Saleh, Jianjun P. Tian.
• Superconvergent hybrid-variable discretization methods for advection problems (2019), Volume Dallas, TX, Xianyi Zeng.
• Coupling Multi-Material Flows and Structures using Embedded Methods on ALE Grids (2019), Xianyi Zeng.
• A Linear Hybrid-Variable Approach for Advection Equations (2018), Xianyi Zeng.
• Embedded Boundaries in ALE Flow Computations for Shock Hydrodynamics and Multi-Fluid Simulations (2018), Volume New York City, NY, Xianyi Zeng, Guglielmo Scovazzi, Kangan Li.
• A Linear Hybrid-Variable Approach for Advection Equations (2018), Xianyi Zeng.
• Combined Embedded Boundary Method and ALE Flow Computations for Multi-Material Simulations (2017), Volume Sante Fe, Xianyi Zeng, Kangan Li, Guglielmo Scovazzi.
• Combining ALE Flow Computations and Embedded Boundary Methods for Multi-Physics Problems (2017), Volume Montreal, Canada, Xianyi Zeng, Kangan Li, Guglielmo Scovazzi.
• A dynamic variational multiscale method for elastic and inelastic solid dynamics using linear tetrahedral elements (2017), Volume Wuhan, China, Xianyi Zeng.
• A Hybrid Variable Method for First-Order Hyperbolic Conservation Laws (2017), Volume Las Cruces, NM, Xianyi Zeng.
• Embedded Boundary Finite Element Method for ALE Shock Hydrodynamics (2017), Volume Houston, TX, Xianyi Zeng, Kangan Li, Guglielmo Scovazzi.
• A Ghost-Fluid Method for Shock Hydrodynamics of Multi-Phase Flows (2017), Volume Atlanta, GA, Xianyi Zeng, Kangan Li, Guglielmo Scovazzi.
• A variational multiscale FEM for monolithic ALE computations of shock hydrodynamics (2016), Volume Seoul, Korea, Xianyi Zeng, Kangan Li, Guglielmo Scovazzi.
• A VMS-FEM for monolithic ALE computations of shock hydrodynamics (2016), Volume Boston, MA, Xianyi Zeng, Kangan Li, Guglielmo Scovazzi.

• LEAPS-MPS: Computational Methods for Many-Physics Problems Involving Multi-Material Flows
• Advanced Computational Methods For Complex Multi-physics Systems