Bruno Santos Cezario
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Bruno Santos Cezario has a total of 31 co-authors. Here are the top co-authors by number of shared publications:
- André Luis Azevedo Guedes
Centro Universitário Augusto Motta
7 shared publications - Carlos Antonio da Silva Carvalho
Administration Department, Centro Universitário de Valença (UNIFAA), Valença 27600-000, Brazil
3 shared publications - Carlos Alberto Pereira Soares
Pós-Graduação em Engenharia Civil, Universidade Federal Fluminense, Niterói 24210-240, Brazil
2 shared publications - Danielle Pereira Vieira
Department of Biosciences Applied to Health, Institute of Medical Sciences, Multidisciplinary Center UFRJ Macaé, Federal University of Rio de Janeiro, Macaé 27930-560, Brazil
2 shared publications - Otacilio José Moreira
Universidade Federal Fluminense
2 shared publications - Patricia Bilotta
UNISUAM
2 shared publications
Latest Publications
- Open Access
- 23 January 2026
- Published by MDPI AG in Education Sciences
- Vol. 16 (2) , 179
AI in Indian Education: Opportunities, Challenges, and Emerging Paths in the Global South
Despite the growing recognition of Artificial Intelligence (AI)’s potential for global education, the literature lacks strategic analyses on how to maximize personalized learning and ensure equitable access within the vast and diverse Indian educational system. The objective of this study is to analyze this strategic integration of AI into the Indian educational system, focusing on maximizing personalized learning and ensuring equitable access across diverse socioeconomic contexts, while evaluating current initiatives and the relevance of reporting guidelines, such as the use of Self-Sovereign Identity (SSI). The methodology employed bibliographic and documentary research, alongside the analysis of governmental and sectoral policies. The results indicate that the sustainable implementation of AI is critically dependent on the mitigation of algorithmic bias and the rigorous assurance of data privacy. In conclusion, to balance technological innovation with human-centered pedagogical approaches, maintaining the educator’s fundamental role and fostering collaboration among stakeholders for responsible governance are essential.
- 23 January 2026
- Published by MDPI AG in Education Sciences
- Vol. 16 (2) , 179
Open AccessAI in Indian Education: Opportunities, Challenges, and Emerging Paths in the Global South
Despite the growing recognition of Artificial Intelligence (AI)’s potential for global education, the literature lacks strategic analyses on how to maximize personalized learning and ensure equitable access within the vast and diverse Indian educational system. The objective of this study is to analyze this strategic integration of AI into the Indian educational system, focusing on maximizing personalized learning and ensuring equitable access across diverse socioeconomic contexts, while evaluating current initiatives and the relevance of reporting guidelines, such as the use of Self-Sovereign Identity (SSI). The methodology employed bibliographic and documentary research, alongside the analysis of governmental and sectoral policies. The results indicate that the sustainable implementation of AI is critically dependent on the mitigation of algorithmic bias and the rigorous assurance of data privacy. In conclusion, to balance technological innovation with human-centered pedagogical approaches, maintaining the educator’s fundamental role and fostering collaboration among stakeholders for responsible governance are essential.
- 14 November 2025
- Published by Springer Nature
- p. 87-106
The Impact of Artificial Intelligence (AI) and the Internet of Things (IoT) on the Sustainability of Globalized Businesses
- 14 November 2025
- Published by Springer Nature
- p. 87-106
The Impact of Artificial Intelligence (AI) and the Internet of Things (IoT) on the Sustainability of Globalized Businesses
- 6 August 2025
- Published by Springer Nature
- p. 129-143
Impact of Generative AI on Supply Chain and Human Resources
- 6 August 2025
- Published by Springer Nature
- p. 129-143
Impact of Generative AI on Supply Chain and Human Resources
- Open Access
- 16 July 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (14) , 7918
Artificial Intelligence in the Oil and Gas Industry: Applications, Challenges, and Future Directions
This study aims to provide a comprehensive overview of the application of artificial intelligence (AI) methods to solve real-world problems in the oil and gas sector. The methodology involved a two-step process for analyzing AI applications. In the first step, an initial exploration of scientific articles in the Scopus database was conducted using keywords related to AI and computational intelligence, resulting in a total of 11,296 articles. The bibliometric analysis conducted using VOS Viewer version 1.6.15 software revealed an average annual growth of approximately 15% in the number of publications related to AI in the sector between 2015 and 2024, indicating the growing importance of this technology. In the second step, the research focused on the OnePetro database, widely used by the oil industry, selecting articles with terms associated with production and drilling, such as “production system”, “hydrate formation”, “machine learning”, “real-time”, and “neural network”. The results highlight the transformative impact of AI on production operations, with key applications including optimizing operations through real-time data analysis, predictive maintenance to anticipate failures, advanced reservoir management through improved modeling, image and video analysis for continuous equipment monitoring, and enhanced safety through immediate risk detection. The bibliometric analysis identified a significant concentration of publications at Society of Petroleum Engineers (SPE) events, which accounted for approximately 40% of the selected articles. Overall, the integration of AI into production operations has driven significant improvements in efficiency and safety, and its continued evolution is expected to advance industry practices further and address emerging challenges.
- 16 July 2025
- Published by MDPI AG in Applied Sciences
- Vol. 15 (14) , 7918
Open AccessArtificial Intelligence in the Oil and Gas Industry: Applications, Challenges, and Future Directions
This study aims to provide a comprehensive overview of the application of artificial intelligence (AI) methods to solve real-world problems in the oil and gas sector. The methodology involved a two-step process for analyzing AI applications. In the first step, an initial exploration of scientific articles in the Scopus database was conducted using keywords related to AI and computational intelligence, resulting in a total of 11,296 articles. The bibliometric analysis conducted using VOS Viewer version 1.6.15 software revealed an average annual growth of approximately 15% in the number of publications related to AI in the sector between 2015 and 2024, indicating the growing importance of this technology. In the second step, the research focused on the OnePetro database, widely used by the oil industry, selecting articles with terms associated with production and drilling, such as “production system”, “hydrate formation”, “machine learning”, “real-time”, and “neural network”. The results highlight the transformative impact of AI on production operations, with key applications including optimizing operations through real-time data analysis, predictive maintenance to anticipate failures, advanced reservoir management through improved modeling, image and video analysis for continuous equipment monitoring, and enhanced safety through immediate risk detection. The bibliometric analysis identified a significant concentration of publications at Society of Petroleum Engineers (SPE) events, which accounted for approximately 40% of the selected articles. Overall, the integration of AI into production operations has driven significant improvements in efficiency and safety, and its continued evolution is expected to advance industry practices further and address emerging challenges.
- 8 June 2025
- Published by Springer Nature
- p. 257-274
Smart Cities, People at the Center: A Collaborative Mapping with AI for a Sustainable Future
- 8 June 2025
- Published by Springer Nature
- p. 257-274
Smart Cities, People at the Center: A Collaborative Mapping with AI for a Sustainable Future
- Open Access
- 2 February 2024
- Published by MDPI AG in Sustainability
- Vol. 16 (3) , 1274
My Human Rights Smart City: Improving Human Rights Transparency Identification System
This article focuses on fundamental human rights based on a historical literature review. Methodologically, a literature review and application of the design thinking (DT) method were used in three sessions using storytelling techniques and canvas drawings with managers specializing in “smart and sustainable city” projects in Brazil. The scientific work demonstrates that, in the view of the participating experts selected according to the research criteria, there are many gaps regarding fundamental human rights in cities. The digitalization of cities, with its layers of digital governance, alone is insufficient to cover gaps in basic information for populations. With the participants’ insights, it was possible to design and develop a software application (app) under strict requirements with anonymization and geolocations of human rights violations. The tests also highlighted limitations and future improvements. It is believed that the article brings an innovative approach from a scientific point of view, with a high degree of originality due to the outcomes generated from the experiences of the authors and managers specializing in managing new “smart cities”. This governance tool has the potential to be installed and improved in more than 30 countries and thus serve almost 70 million citizens around the world. A software technology transfer has already been made to the project’s partner company.
- 2 February 2024
- Published by MDPI AG in Sustainability
- Vol. 16 (3) , 1274
Open AccessMy Human Rights Smart City: Improving Human Rights Transparency Identification System
This article focuses on fundamental human rights based on a historical literature review. Methodologically, a literature review and application of the design thinking (DT) method were used in three sessions using storytelling techniques and canvas drawings with managers specializing in “smart and sustainable city” projects in Brazil. The scientific work demonstrates that, in the view of the participating experts selected according to the research criteria, there are many gaps regarding fundamental human rights in cities. The digitalization of cities, with its layers of digital governance, alone is insufficient to cover gaps in basic information for populations. With the participants’ insights, it was possible to design and develop a software application (app) under strict requirements with anonymization and geolocations of human rights violations. The tests also highlighted limitations and future improvements. It is believed that the article brings an innovative approach from a scientific point of view, with a high degree of originality due to the outcomes generated from the experiences of the authors and managers specializing in managing new “smart cities”. This governance tool has the potential to be installed and improved in more than 30 countries and thus serve almost 70 million citizens around the world. A software technology transfer has already been made to the project’s partner company.
- 19 May 2023
- Published by Springer Nature
- p. 557-566
Technological Applications for Smart Cities: Mapping Solutions
- 19 May 2023
- Published by Springer Nature
- p. 557-566
Technological Applications for Smart Cities: Mapping Solutions
- Open Access
- 1 January 2023
- Published by Epitaya Propriedade Intelectual e Editora LTDA
- Vol. 1 (49) , 131-142
A RECUPERAÇÃO DE RESIDUOS URBANOS COMO ESTRATÉGIA DE DESENVOLVIMENTO SUSTENTÁVEL
Existe uma lacuna com relação ao descarte de resíduos sólidos urbanos em nosso país que representa um dos maiores problemas para o meio ambiente e para a sociedade poluindo e degradando os recursos naturais muitas vezes escassos. Este artigo busca compreender como os resíduos sólidos têm um potencial de valoração econômica e melhoria para sociedade apoiando ao desenvolvimento local e sustentável. Utilizou-se uma análise bibliográfica baseada na metodologia sistemática do PRISMA alinhado a pesquisa em vetores de buscas de artigos científicos. Como resultado foi criada uma campanha na cidade de Presidente Prudente que proporcionou a melhoria no descarte dos resíduos junto a ONG parceira, a conscientização da população em relação ao lixo descartado e a doação de cadeiras de rodas para a população oriundas da reciclagem do material. Este estudo enquadrou-se em três Objetivos de Desenvolvimento Sustentável (ODS) da ONU, que são: 3 – saúde e bem-estar; 10 – redução das desigualdades e 11– cidades e comunidades sustentáveis.
- 1 January 2023
- Published by Epitaya Propriedade Intelectual e Editora LTDA
- Vol. 1 (49) , 131-142
Open AccessA RECUPERAÇÃO DE RESIDUOS URBANOS COMO ESTRATÉGIA DE DESENVOLVIMENTO SUSTENTÁVEL
Existe uma lacuna com relação ao descarte de resíduos sólidos urbanos em nosso país que representa um dos maiores problemas para o meio ambiente e para a sociedade poluindo e degradando os recursos naturais muitas vezes escassos. Este artigo busca compreender como os resíduos sólidos têm um potencial de valoração econômica e melhoria para sociedade apoiando ao desenvolvimento local e sustentável. Utilizou-se uma análise bibliográfica baseada na metodologia sistemática do PRISMA alinhado a pesquisa em vetores de buscas de artigos científicos. Como resultado foi criada uma campanha na cidade de Presidente Prudente que proporcionou a melhoria no descarte dos resíduos junto a ONG parceira, a conscientização da população em relação ao lixo descartado e a doação de cadeiras de rodas para a população oriundas da reciclagem do material. Este estudo enquadrou-se em três Objetivos de Desenvolvimento Sustentável (ODS) da ONU, que são: 3 – saúde e bem-estar; 10 – redução das desigualdades e 11– cidades e comunidades sustentáveis.