Matias Fernando Garcia-Constantino

Lecturer in Computing Science

University of Ulster at Jordanstown

United Kingdom

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Dr. Matias Fernando Garcia-Constantino is a Lecturer in Computing Science at Ulster University - Jordanstown Campus, UK. His research focuses on machine learning applications, data mining, and statistical modeling, with recent publications addressing topics such as spatial prediction models for cholangiocarcinoma, land surface temperature forecasting, and assistive technology for dementia patients. He is actively involved in developing innovative solutions for in-home monitoring and smart sensing environments.

Articles (15)

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2025

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2024

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2024

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (4)

Jose Angel Santos

Lecturer

University of Ulster at Jordanstown

UNITED KINGDOM

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Idongesit Ekerete

University of Ulster

UNITED KINGDOM

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Mustafa A. Mustafa

The University of Manchester

UNITED KINGDOM

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Joseph Rafferty

University of Ulster

UNITED KINGDOM

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Matias Fernando Garcia-Constantino

Research Interests

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Articles (15)

Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand

Statistical modeling for forecasting land surface temperature increase in Taiwan from 2000 to 2023 using three knots cubic spline

Evaluating IT Delivery Value in the Faculty of Industrial Engineering at Telkom University Using the COBIT 2019 Framework, Domain APO04, for Mapping LAM INFOKOM Standards

The Influence of Elevation, Land Cover and Vegetation Index on LST Increase in Taiwan from 2000 to 2021

Data Mining and Fusion Framework for In-Home Monitoring Applications

Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients

Fuzzy System to Assess Dangerous Driving: A Multidisciplinary Approach

A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia

Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments

BECA: A Blockchain-Based Edge Computing Architecture for Internet of Things Systems

Fusion of Unobtrusive Sensing Solutions for Home-Based Activity Recognition and Classification Using Data Mining Models and Methods

Attention-Inspired Artificial Neural Networks for Speech Processing: A Systematic Review

Dynamic Membership Functions for Context-Based Fuzzy Systems

Design and Implementation of a Smart Home in a Box to Monitor the Wellbeing Of Residents with Dementia In Care Homes

Gait Activity Classification on Unbalanced Data from Inertial Sensors Using Shallow and Deep Learning

Collaborators (4)

Jose Angel Santos

Idongesit Ekerete

Mustafa A. Mustafa

Joseph Rafferty

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