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About

Associate Professor with Habilitation at University of Trás-os-Montes e Alto Douro (UTAD) and Senior Researcher at INESC TEC.

He earned a doctorate in UTAD in 2002 in Electrical Engineering and held in 2008 the Habilitation in Informatics/Accessibility. I was Associate Professor in December 2012.

He was Pro-Rector for Innovation and Information Management at UTAD, from 23 July 2010 to 29 July 2013.

He produced over 150 scientific papers, including book chapters, journal articles and articles in proceedings of scientific events. He supervised 40 postgraduate students (masters and doctorates).
He was member of the research team in 35 research and development projects.

He was member of several organizing committees of the international scientific meetings. In 2006 he directed the team that created the conference "Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (www.dsai.ws/2016) and in 2016 the conference Technology and Innovation is Sports, Health and Wellbeing (www.tishw.ws/2016).
The main research interests are: Digital Image Processing, Accessibility and Human Computer Interaction.

Google Scholar: http://scholar.google.com/citations?user=HBVvNYQAAAAJ&hl=en

SCOPUS: http://www.scopus.com/authid/detail.url?authorId=20435746800

Interest
Topics
Details

Details

  • Name

    João Barroso
  • Cluster

    Computer Science
  • Role

    Research Coordinator
  • Since

    01st October 2012
011
Publications

2022

Reliability Analysis Based Improved Directional Simulation Using Harris Hawks Optimization Algorithm for Engineering Systems

Authors
Jafari Asl, J; Ben Seghier, MEA; Ohadi, S; Correia, J; Barroso, J;

Publication
Engineering Failure Analysis

Abstract

2022

My Buddy: A 3D Game for Children Based on Voice Commands

Authors
Carvalho, D; Rocha, T; Barroso, J;

Publication
INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS, IBICA 2021

Abstract

2022

Automated Evaluation Tools for Web and Mobile Accessibility: A Systematic Literature Review

Authors
Dias, J; Carvalho, D; Paredes, H; Martins, P; Rocha, T; Barroso, J;

Publication
INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS, IBICA 2021

Abstract

2022

Forecasting Student s Dropout: A UTAD University Study

Authors
Da Silva, DEM; Pires, EJS; Reis, A; Oliveira, PBD; Barroso, J;

Publication
FUTURE INTERNET

Abstract
In Portugal, the dropout rate of university courses is around 29%. Understanding the reasons behind such a high desertion rate can drastically improve the success of students and universities. This work applies existing data mining techniques to predict the academic dropout mainly using the academic grades. Four different machine learning techniques are presented and analyzed. The dataset consists of 331 students who were previously enrolled in the Computer Engineering degree at the Universidade de Tras-os-Montes e Alto Douro (UTAD). The study aims to detect students who may prematurely drop out using existing methods. The most relevant data features were identified using the Permutation Feature Importance technique. In the second phase, several methods to predict the dropouts were applied. Then, each machine learning technique's results were displayed and compared to select the best approach to predict academic dropout. The methods used achieved good results, reaching an Fl-Score of 81% in the final test set, concluding that students' marks somehow incorporate their living conditions.

2022

A Brief Review on 4D Weather Visualization

Authors
Rudenko, R; Pires, IM; Liberato, M; Barroso, J; Reis, A;

Publication
SUSTAINABILITY

Abstract
The accelerated changes on our planet have led to a growing interest in climate change and its consequences: natural hazards and adverse socio-economic impacts. However, the development of climate research and the proliferation of datasets require an integrated and efficient approach to the analysis, investigation, and visualization of atmospheric meteorological data. Thus, we propose a literature review of existing systems viewing meteorological phenomena in four and three dimensions. Moreover, we evaluate meteorological occurrences to better understand the dynamics associated with a meteorological phenomenon and visualize different weather data. Based on the investigation of tools and methods, we consider the existence of different ways of representing meteorological data and methodologies. However, it was imperative to obtain knowledge and create our way of visualizing weather data. This article found eleven existing solutions for 4D meteorological visualization and meteorological phenomena.

Supervised
thesis

2021

PDapp - A mobile solution for continuous follow-up of Parkinson’s disease patients

Author
Nuno Duarte Ribeiro da Silva Fonseca Oliveira

Institution
UP-FEUP

2020

IncWeb - Framework for a more accessible, usable and inclusive Web

Author
João Carlos Tomé Dias

Institution
UTAD

2020

Acessibilidade das plataformas de e-learning na perspectiva da experiência do aluno cego

Author
Isolda Veronese Moniz Vianna Lisboa

Institution
UTAD

2020

Um modelo para capacitação individual através da personalização intrínseca de tarefas de crowdsourcing

Author
Dennis Lourenço Paulino

Institution
UTAD

2019

Sistema de processamento e visualização de dados de atletas

Author
Nuno Miguel Ferreira Cerdeira Lopes

Institution
UTAD