Faculty

Institution

Unit

Venue

Liang Kong

Associate Professor of Mathematical Sciences

University of Illinois-Springfield

Affiliations

College of Health, Science and Technology

Department Of Computer Science

Department Of Mathematical Sciences And Philosophy

College of Liberal Arts and Social Sciences

Mathematical Sciences

Department Of Computer Science

Data Analytics

Department Of Mathematics

Mathematical Sciences and Philosophy

Liang Kong is currently serving as a College Of Health, Science And Technology Associate Professor of Mathematical Sciences at University of Illinois-Springfield.

Honors

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Education

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Liang Kong

University of Illinois-Springfield

Associate Professor of Mathematical Sciences

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applied mathematics differential equations partial differential equations numerical analysis mathematical biology nonlinear analysis numerical mathematics nonlinear dynamics epidemiology infectious diseases engineering numerical method for partial differential equation computational epidemiology infectious disease modelling wave nonlinearity diffusion dynamical systems nonlinear phenomena boundary value problems nonlinear science numerical algorithms communicable diseases public health preparedness computational intelligence scientific computing evolution equations numerical computation epidemic intelligence epidemiological dynamic physic aware machine learning discrete dynamics spatial ecology species competition systems computational mathematics mathematical bioscience theoretical biology physic education numerical simulations fuzzy logic mathematical modelling diffusion process nonlinear equations applied mathematical modelling nonlinear wave propagation wave theory periodic travelling wave validated numerics algebraic methods numerical stability stability analysis recurrent neural networks ai education applied artificial intelligence artificial general intelligence unstructured mesh generation pde-constrained optimization fuzzy pattern recognition biosignal processing disease classification prediction modelling reservoir computing nonlocal dispersal periodic habitats linear determinacy two-step simultaneous method highly efficient family polynomial roots engineering problems non-linear polynomials arises positive stationary solutions kpp equations covid-19 prevalence forecasting artificial intelligence education synergistic approach hybrid dispersal fisher-kpp equations nonlinear evolution equations machine learning

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Meshfree Deep Learning Approach for Numerical Solution of Differential Equations With Implementation in Python. Scatterplot (2026)

numerical analysisscientific computingpde-constrained optimizationengineeringapplied mathematicsnumerical mathematicscomputer sciencepartial differential equationsnumerical algorithmsnumerical computationcomputational engineeringnumerical solutionunstructured mesh generationnumerical method for partial differential equationdifferential equationsnumerical simulationsdeep learningnonlinear analysis

An Enhanced Heart Disease Prediction Model Based on Linear Diophantine Fuzzy-Integrated Supervised Machine Learning. Health Information Science and Systems (2026)

biomedical informaticspredictive analyticshealth informaticsfuzzy pattern recognitionfuzzy systemsbiostatisticsmachine learningdata sciencefuzzy logicdisease classificationbiosignal processinglinear diophantinefuzzy setsprediction modelling

Hands-on Learning With Physics-Informed Neural Networks: A New Paradigm for Differential Equations. International Journal of Mathematical Education in Science and Technology (2025)

physical modelingscientific computingreservoir computingcomputational intelligenceengineeringapplied mathematicsbio-inspired computationpartial differential equationsphysic aware machine learningphysics-informed neural networksdynamical systemsnonlinear dynamicsnonlinear sciencedifferential equationsnew paradigmneural network (machine learning)

Myocardial Band Transformer Network for Detecting Myocardial Ischemia in 2D Echocardiography. Lecture notes in computer science (2025)

cardiac mechanicsultrasoundcardiologyechocardiographybiomedical engineeringmedical devicescardiovascular imagingcardiac pathologiesradiologydetecting myocardial ischemiamedical imagingcardiovascular disease

Prediction of the Prevalence of Covid-19 Using Epidemic Differential Equations and Deep Learning Network. Smart innovation, systems and technologies (2025)

covid-19communicable diseasesinfection controldeep learning networkinfectious diseasescomputational epidemiologyinfectious diseases (medical specialty)infectious disease modellingdisease surveillanceepidemiological dynamicepidemic intelligencepublic health preparednessepidemiology

Enhancing Covid-19 Prevalence Forecasting: A Hybrid Approach Integrating Epidemic Differential Equations and Recurrent Neural Networks. AppliedMath (2024)

covid-19forecastingcommunicable diseasesinfectious diseasescomputational epidemiologyinfectious diseases (medical specialty)infectious disease modellingcovid-19 prevalence forecastingepidemic intelligencerecurrent neural networkspublic health preparednessepidemiology

Integrating Physics and Machine Learning: A Synergistic Approach to Artificial Intelligence Education. (2024)

artificial intelligence educationcomputational intelligencesynergistic approachphysic aware machine learningmachine learningintelligent systemsdata scienceai educationartificial general intelligenceartificial intelligencecognitive scienceapplied artificial intelligencephysic education

On the Stability Analysis of Numerical Schemes for Solving Non-Linear Polynomials Arises in Engineering Problems. AIMS Mathematics (2024)

non-linear polynomials arisesnumerical analysisengineeringapplied mathematicsstability analysisnumerical mathematicsnumerical stabilitystabilitynumerical method for partial differential equationengineering problemsnonlinear analysis

Epidemic Modeling Using Differential Equations With Implementation in R. International Journal of Mathematical Education in Science and Technology (2023)

mathematical biologyinfectious diseasessystems modelingmathematical bioscienceinfectious disease modellingnonlinear dynamicstheoretical biologyepidemiological dynamicdifferential equationsmodeling and simulationcomputational epidemiologyepidemiology

Highly Efficient Family of Two-Step Simultaneous Method for All Polynomial Roots. AIMS Mathematics (2023)

approximation theorynumerical analysisapplied mathematicsvalidated numericshighly efficient familynumerical mathematicsnumerical algorithmspolynomial rootstwo-step simultaneous methodnumerical computationalgebraic methodsnumerical linear algebracomputational mathematics

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Liang Kong

Associate Professor of Mathematical Sciences

University of Illinois-Springfield

Affiliations

College of Health, Science and Technology

Department Of Computer Science

Department Of Mathematical Sciences And Philosophy

College of Liberal Arts and Social Sciences

Mathematical Sciences

Department Of Computer Science

Data Analytics

Department Of Mathematics

Mathematical Sciences and Philosophy

Liang Kong is currently serving as a College Of Health, Science And Technology Associate Professor of Mathematical Sciences at University of Illinois-Springfield.

Honors