Jiang Li, Ph.D.

Professor Graduate Coordinator

Austin Peay State University

Affiliations

Austin Peay State University

Department Of Computer Science And Quantitative Methods

Department Of Mathematics And Computer Science

Jiang Li, Ph.d. is currently serving as an Austin Peay State University Professor Graduate Coordinator at Austin Peay State University.

Honors

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Experiences

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Education

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Jiang Li, Ph.D.

Austin Peay State University

Professor Graduate Coordinator

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applied mathematics remote sensing numerical analysis partial differential equations boundary value problems numerical algorithms earth science computer science formal methods computational mathematics difference equations scientific computing numerical method for partial differential equation numerical computation method of fundamental solution numerical treatment environmental science computer vision image analysis computational engineering nonlinear analysis nonlinear science numerical mathematics nonlinear dynamics spectral theory earth observation earth observation data shape analysis change detection semi-implicit method image retrieval boundary element methods remote sensing imagery spatial information mining direct solution multi-resolution hweno schemes information mining linear multistep methods artificial intelligence big data intelligent systems natural computing distributed systems computer engineering memetic computing evolutionary intelligence computational intelligence data science cluster computing machine learning systems engineering information fusion genetic programming knowledge discovery clustering informatics data and information visualization intelligent computing industrial informatics parallel computing granular computing data modeling databases bio-inspired computation machine intelligence data management parallel programming data mining pattern recognition data integration soft computing computing education learning analytics theoretical computer science information technology software engineering computational science technology statistical software machine learning research analytics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Unconditionally Maximum Bound Principle Preserving and Energy Stable Finite Element Method for the Allen–Cahn Equation With Dynamic Boundary Condition. CALCOLO (2025)

Derivative-Based Finite-Volume Mr-Hweno Scheme for Steady-State Problems. Communications in Computational Physics (2024)

Maximum Bound Principle Preserving and Mass Conservative Projection Method for the Conservative Allen–Cahn Equation. Applied Mathematics Letters (2024)

Unconditional Mbp Preservation and Energy Stability of the Stabilized Exponential Time Differencing Schemes for the Vector-Valued Allen–Cahn Equations. Communications in Nonlinear Science and Numerical Simulation (2024)

Moment-Based Multi-Resolution Hweno Scheme for Hyperbolic Conservation Laws. Communications in Computational Physics (2022)

Jiayin Li Jiayin LiChi-Wang Shu Chi-Wang ShuJianxian Qiu Jianxian Qiu

computer sciencescientific computingcommunicationapplied mathematicsformal methods

Two High-Order Energy-Preserving and Symmetric Gauss Collocation Integrators for Solving the Hyperbolic Hamiltonian Systems. Mathematics and Computers in Simulation (2022)

boundary value problemsnonlinear analysisnonlinear sciencenumerical analysismathematical physicsapplied mathematicsnumerical algorithmscomputational mathematicsmathematicsnumerical mathematicspartial differential equationsnonlinear dynamicsdifferential equationsspectral theoryordinary differential equationsdynamical systems

Multi-Resolution Hweno Schemes for Hyperbolic Conservation Laws. Journal of Computational Physics (2021)

Jiayin LiChi-Wang ShuJianxian Qiu

computer sciencemulti-resolution hweno schemesscientific computingapplied mathematicsformal methods

Solving Two-Point Boundary Value Problems by a Family of Linear Multistep Methods. Neural, Parallel & Scientific Computations archive (2009)

computational engineeringdifference equationsboundary value problemsboundary element methodsnumerical method for partial differential equationnumerical analysismathematicslinear multistep methodspartial differential equationsnumerical computationdifferential equationsmethod of fundamental solutionnumerical treatmentapplied mathematicsnumerical algorithms

A Self-Starting Linear Multistep Method for a Direct Solution of the General Second-Order Initial Value Problem. International Journal of Computer Mathematics (2008)

difference equationsboundary value problemsnumerical method for partial differential equationnumerical analysiscomputational mathematicsdirect solutionsemi-implicit methodpartial differential equationsnumerical computationmethod of fundamental solutionnumerical treatmentapplied mathematicsnumerical algorithms

Integrated Information Mining and Image Retrieval in Remote Sensing.. (2006)

J. LiR. M. NarayananC. I. Chang

image retrievalremote sensingdata scienceinformation mining