Jose Antonio Siqueira de Cerqueira
@tuni.fi
Faculty of Information Technology and Communication Sciences
Tampere University
José Antonio Siqueira de Cerqueira is a doctoral student and researcher in the Gamification Group and also in the GPT Lab, Tampere University. His PhD research focuses on how to operationalise ethics in AI and in gamification through the use of Large Language Models, as well as exploring AI-assisted Software Engineering. He is part of the Convergence programme funded by the Jane and Aatos Erkko Foundation, a novel research field that addresses the future challenges and opportunities of the multidisciplinary convergence of humans and machines. Siqueira's main research interests are AI ethics, software engineering, Large Language Models and gamification. He holds a Master's degree in Computer Science from the University of Brasília and has worked as a software developer for Brazilian government agencies.
EDUCATION
Master's degree in Informatics (2021) and graduated in Computer Science (2017) at the University of Brasília (UnB). His Master's dissertation "Exploring Ethical Requirements Elicitation for Applications in the Context of AI" aims to explore AI ethics in theoretical field but with a main focus in operationalising AI ethics in practice providing a Guide for Artificial Intelligence Ethical Requirements Elicitation (RE4AI Ethical Guide).
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence, Software
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
José Antonio Siqueira de Cerqueira, Heloise Acco Tives, and Edna Dias Canedo
ACM
Jose Antonio Siqueira de Cerqueira, Paulo Santos de Almeida, Edna Dias Canedo, Gabriel de Oliveira Alves, William Ferreira Giozza, Fabio Lucio Lopes de Mendonca, and Rafael T. de Sousa
IEEE
This study sought to provide an integrating model of the main contributions of the literature on CAPTCHAs with an impact in this field. With the expansion of internet access, there is an increasing need for a mechanism to protect websites from attacks, although there are situations where it is interesting to be able to automate some activities. This work consisted of identifying the most influential CAPTCHA-related academic works and trends in the field, which could serve as a metric on what approaches to take when developing new studies. Data such as main authors, current lines of research and more prolific research centers are arrived at using the Theory of the Consolidated Meta-analytic Approach. Inputting the keyword “captcha” in the Web of Science database, 539 records were found, from 2001 to 2020. The main classes retrieved are: (a) Captcha in Security Context (31.9%), (b) Usability in Captcha Design (28%), (c) Captcha Recognition by AI (21.8%), (d) Captcha Approaches and Novel Implementation Proposals (18.2%).
Edna Dias Canedo, Heloise Acco Tives, Madianita Bogo Marioti, Fabiano Fagundes, and José Antonio Siqueira de Cerqueira
MDPI AG
Computer science is a predominantly male field of study. Women face barriers while trying to insert themselves in the study of computer science. Those barriers extend to when women are exposed to the professional area of computer science. Despite decades of social fights for gender equity in Science, Technology, Engineering, and Mathematics (STEM) education and in computer science in general, few women participate in computer science, and some of the reasons include gender bias and lack of support for women when choosing a computer science career. Open source software development has been increasingly used by companies seeking the competitive advantages gained by team diversity. This diversification of the characteristics of team members includes, for example, the age of the participants, the level of experience, education and knowledge in the area, and their gender. In open source software projects women are underrepresented and a series of biases are involved in their participation. This paper conducts a systematic literature review with the objective of finding factors that could assist in increasing women’s interest in contributing to open source communities and software development projects. The main contributions of this paper are: (i) identification of factors that cause women’s lack of interest (engagement), (ii) possible solutions to increase the engagement of this public, (iii) to outline the profile of professional women who are participating in open source software projects and software development projects. The main findings of this research reveal that women are underrepresented in software development projects and in open source software projects. They represent less than 10% of the total developers and the main causes of this underrepresentation may be associated with their workplace conditions, which reflect male gender bias.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Guide for Artificial Intelligence Ethical Requirements Elicitation:
INDUSTRY EXPERIENCE
Federal Data Processing Service (SERPRO)