Faculty

Institution

Unit

Venue

Tharindu Priyan De Alwis Mahappu Kankanamge

Assistant Professor

University of West Florida

Affiliations

Mathematics and Statistics

Department Of Math And Statistics

Department Of Statistics And Mathematics

Department Of Systems Science

Hal Marcus College of Science and Engineering

Department of Mathematics and Statistics

Department of Mechanical Engineering

Division of Academic Affairs

Hal Marcus College of Science and Engineering

University of West Florida

Tharindu Priyan De Alwis Mahappu Kankanamge is currently serving as a Mathematics And Statistics Assistant Professor at University of West Florida.

Honors

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Experiences

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Education

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Tharindu Priyan De Alwis Mahappu Kankanamge

University of West Florida

Assistant Professor

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applied mathematics statistics time series statistical methodology statistical models computational statistics high-dimensional statistics systems engineering harmonic analysis statistical software matrix analysis fourier expansion low-rank approximation fourier analysis mathematics forecasting model selection numerical analysis applied statistics economic modelling numerical algorithms numerical mathematics reliability engineering system safety structural concrete spectral theory soft computing nonlinear analysis multidimensional signal processing dimensionality reduction principal component analysis multivariate analysis multidimensional analysis applied artificial intelligence failure analysis system reliability engineering failure analysis failure prediction instructional program concrete technology multivariate approximation estimation theory regression analysis spatio-temporal models nonlinear time series machine learning deep learning high-dimensional method dimension reduction mathematics education

Notable Scholarly Works

Notable Federal Grants

Collaborators

Artificial Neural Network Modeling of Self-Compacting Concrete Mixed and Cured With Seawater for Compressive Strength and Chloride Penetration Prediction. (2025)

neural network (machine learning)concrete technologyengineeringstructural concrete

Envelope Matrix Autoregressive Models. (2025)

time seriesstatisticsstatistical methodologyapplied mathematicsmatrix analysisstatistical models

Envelope Matrix Autoregressive Models. Journal of Business and Economic Statistics (2025)

S. Yaser SamadiTharindu P. De Alwis

high-dimensional statisticsstatisticsstatistical methodologyapplied mathematicsmatrix analysiscomputational statisticsforecastingeconomic modellingmodel selectionstatistical models

Fourier Methods for Efficient Sufficient Dimension Reduction in Time Series. Canadian Journal of Statistics (2025)

harmonic analysisnumerical algorithmsnumerical analysisnumerical mathematicstime seriesmultidimensional signal processingfourier expansionlow-rank approximationstatisticsstatistical methodologyapplied mathematicscomputational statisticsfourier analysismathematics

AI-Augmented Failure Modes, Effects, and Criticality Analysis (AI-Fmeca) for Industrial Applications. (2024)

applied artificial intelligencesystems engineeringreliabilityreliability engineeringfailure analysissystem reliabilityengineering failure analysisfailure predictionsystem safetyengineering

Applied Statistics Students’ Activity Book. (2024)

statistical softwareinstructional programeducationindependent studiesstatistics

Stacking-Based Neural Network for Nonlinear Time Series Analysis. (2024)

systems engineeringsoft computingtime seriesnonlinear analysisnonlinear time seriesneural network (machine learning)

Fourier Methods for Sufficient Dimension Reduction in Time Series. (2023)

harmonic analysistime seriesfourier expansionspectral theoryapplied mathematicsfourier analysis

Package ‘Itdr’. (2023)

Advances on Dimension Reduction for Univariate and Multivariate Time Series. (2022)

high-dimensional statisticstime seriesapplied statisticsdimensionality reductionprincipal component analysismultivariate analysismultidimensional analysisstatisticsstatistical methodologyapplied mathematicscomputational statisticsstatistical models

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Tharindu Priyan De Alwis Mahappu Kankanamge

Assistant Professor

University of West Florida

Affiliations

Mathematics and Statistics

Department Of Math And Statistics

Department Of Statistics And Mathematics

Department Of Systems Science

Hal Marcus College of Science and Engineering

Department of Mathematics and Statistics

Department of Mechanical Engineering

Division of Academic Affairs

Hal Marcus College of Science and Engineering

University of West Florida

Tharindu Priyan De Alwis Mahappu Kankanamge is currently serving as a Mathematics And Statistics Assistant Professor at University of West Florida.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Tharindu Priyan De Alwis Mahappu Kankanamge

University of West Florida

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Artificial Neural Network Modeling of Self-Compacting Concrete Mixed and Cured With Seawater for Compressive Strength and Chloride Penetration Prediction. (2025)

neural network (machine learning)concrete technologyengineeringstructural concrete

Envelope Matrix Autoregressive Models. (2025)

time seriesstatisticsstatistical methodologyapplied mathematicsmatrix analysisstatistical models

Envelope Matrix Autoregressive Models. Journal of Business and Economic Statistics (2025)

S. Yaser SamadiTharindu P. De Alwis

high-dimensional statisticsstatisticsstatistical methodologyapplied mathematicsmatrix analysiscomputational statisticsforecastingeconomic modellingmodel selectionstatistical models

Fourier Methods for Efficient Sufficient Dimension Reduction in Time Series. Canadian Journal of Statistics (2025)

AI-Augmented Failure Modes, Effects, and Criticality Analysis (AI-Fmeca) for Industrial Applications. (2024)

applied artificial intelligencesystems engineeringreliabilityreliability engineeringfailure analysissystem reliabilityengineering failure analysisfailure predictionsystem safetyengineering

Applied Statistics Students’ Activity Book. (2024)

statistical softwareinstructional programeducationindependent studiesstatistics

Stacking-Based Neural Network for Nonlinear Time Series Analysis. (2024)

systems engineeringsoft computingtime seriesnonlinear analysisnonlinear time seriesneural network (machine learning)

Fourier Methods for Sufficient Dimension Reduction in Time Series. (2023)

harmonic analysistime seriesfourier expansionspectral theoryapplied mathematicsfourier analysis

Package ‘Itdr’. (2023)

Advances on Dimension Reduction for Univariate and Multivariate Time Series. (2022)

1
2
10 / page