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Hansapani Rodrigo

Associate Professor

The University of Texas Rio Grande Valley

United States

Research Interests

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Hansapani Rodrigo is an Associate Professor at The University of Texas Rio Grande Valley, USA. His research areas include data-driven modeling for health outcomes, machine learning applications in cognitive therapy, and environmental impacts of energy solutions. Recent publications reflect his work in survival modeling, auditory function analysis, and the implications of neurocognitive impairments in regional health.

Articles (12)

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2026

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2020

Collaborators (5)

Rafael J. P Schmitt

Assistant Professor

University of California, Santa Barbara

UNITED STATES

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Gerhard Andersson

Professor

Linköping University

SWEDEN

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ARTURO MOLETI

Associate professor

University of Rome Tor Vergata

ITALY

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Vinaya Manchaiah

Professor and Director of Audiology

Northwestern University

UNITED STATES

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Chris P. Tsokos

Distinguished University Professor

University of South Florida

UNITED STATES

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Hansapani Rodrigo

Research Interests

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Articles (12)

Health-Related Quality-of-Life Profiles in Adults With Tinnitus

Effects of Hearing Devices for Adults With Mild-to-Severe Hearing Loss: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Gain-Delay Decoupling in Human Stimulus Frequency Otoacoustic Emissions Reveals Constraints on Cochlear Nonlinear Amplification

Comparative analysis of traditional and deep learning time series architectures for influenza A infectious disease forecasting

Data-driven survival modeling for breast cancer prognostics: A comparative study with machine learning and traditional survival modeling methods

Exploring the Influence of Extended High-Frequency Hearing on Cochlear Functioning at Lower Frequencies

Offsetting the greenhouse gas footprint of hydropower with floating solar photovoltaics

Predicting the Outcomes of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Applications of Artificial Neural Network and Support Vector Machine

Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach

Quantization for Uniform Distributions on Hexagonal, Semicircular, and Elliptical Curves

Bayesian modelling of nonlinear Poisson regression with artificial neural networks

The Increase of HIV-1 Infection, Neurocognitive Impairment, and Type 2 Diabetes in The Rio Grande Valley

Collaborators (5)

Rafael J. P Schmitt

Gerhard Andersson

ARTURO MOLETI

Vinaya Manchaiah

Chris P. Tsokos

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