ABOUT US

Presentation

TRIL is a laboratory affiliated with the Department of Scientific Computing (DCC), a unit of the Center for Informatics (CI) at the Federal University of Paraíba (UFPB). Located in João Pessoa, the capital of Paraíba state in Northeastern Brazil, the group is committed to advancing knowledge and strengthening national competitiveness through high-quality research, development, and innovation. By continuously connecting academia, government, and the private sector, we deliver comprehensive digital solutions from an interdisciplinary perspective and bring technological leadership to the region in strategic areas.

History

The origins of TRIL date back to 2017 (see the figure below), when three professors from DCC/CI launched a project focused on developing solutions for the oil and gas sector. This initiative gave rise to the then Laboratory of Modeling in Petroleum Engineering (LaMEP). With an interdisciplinary background in exact sciences, the group produced its first projects and scientific publications, always aligned with the state of the art.

In 2019, the laboratory underwent its first expansion, acquiring high-performance desktops and the group’s first HPC workstation. In 2020, aligned with global trends and the creation of the Data Science and Artificial Intelligence undergraduate program at DCC, the laboratory began an internal restructuring process. After a period of planning and strategic revision, LaMEP evolved into TRIL Laboratory (or TRIL Lab), officially established on October 6, 2021.

In the following years, TRIL consolidated a distinctive role at UFPB by combining excellence in data science and artificial intelligence with a strong tradition in numerical methods, mathematical modeling, and computational science/engineering. In 2024, this maturity led to the second major expansion: acquisition of new equipment, installation of a second HPC workstation, and adoption of a collaborative work model suited to the rapid growth of students involved in the laboratory’s research activities.

In 2025, accompanying the scale-up of research projects and the growth of partnerships with companies for the development of digital solutions, TRIL began operating through two structured, complementary, and interconnected branches:

• TRIL AIBIS, focused on innovation and interaction with the business sector;
• TRIL HOCSE, dedicated to research, development, and scientific deepening.

Ethos

Entendemos que a ciência está passando pela sua quarta revolução. Diversos setores da economia começam a migrar para uma estrutura cada vez mais guiada por dados, onde o conhecimento é valor inestimável. A nova onda trazida pela inteligência artificial, em decorrência do avanço da capacidade computacional evoca novas oportunidades e as transformações globais impelem a academia a repensar seu papel como geradora de crescimento e formadora de novos profissionais.

Nosso ethos, ou seja, o arcabouço acadêmico-científico aliado ao bojo cultural e à expertise, leva-nos a olhar para um horizonte de atividades que não substituem os campos tradicionais de ensino, pesquisa e extensão, mas agregam valor a eles. A proposta do TRIL repousa sobre uma tríade conceitual que deu origem ao seu nome: COMPREENDER, MODELAR, RESOLVER (em inglês, SEIZE, SHAPE, SOLVE). Este modelo holístico é a base estruturante que nos conduz, como parte da universidade, à fronteira da inovação, sempre visando o benefício da sociedade brasileira.

Conciliando pesquisa e desenvolvimento e preparando alunos, nossos ativos mais valiosos, temos a ambição de entregar soluções para fins específicos na faixa de 4 a 6 na escala de Nível de Maturidade Tecnológica (do inglês Technology Readiness Level, ou TRL). Também envolvidos em matérias atinentes à propriedade intelectual e transferência tecnológica, buscamos produtos mínimos viáveis ​​e protótipos capazes de atingir a fronteira da implantação.

Leading Board

TRIL operates under a shared, non-hierarchical management structure. Its leadership is currently composed of a three-member committee that performs distinct yet complementary roles:

• Prof. Dr. Gustavo Oliveira (him): leads TRIL HOCSE and oversees branding, communication, and internationalization.
• Prof. Dr. Moises Dantas (him): leads TRIL AIBIS and is responsible for project acquisition, resource mobilization, and institutional diplomacy.
• Profa. Dra. Tatiana Simões (her): coordinates TRIL AIBIS projects and oversees outreach and people development.

Beyond their TRIL responsibilities, all members of the management committee are active across the university’s core missions (teaching, research, and outreach) lecturing in STEM-related programs, primarily in computing and engineering.

The areas of expertise represented within TRIL include:

• Statistical and predictive modeling
• Signal and time-series analysis
• Data analysis, data science, and data visualization
• Computational fluid dynamics and porous-media modeling
• Scientific writing and communication
• Language-based artificial intelligence
• Logic and discrete mathematics
• Computational methods and numerical simulation

Statements

Mission

“To produce high-quality, state-of-the-art research in computational sciences that can be transformed into technological solutions and transferred to external partners for the benefit of society.”

Visão

“To be a leading laboratory in research, development, and innovation, recognized for advancing the knowledge frontier through high-value digital solutions and cutting-edge prototyping.”

Valores

• Commitment to people and continuous professional development
• Excellence and intellectual leadership within our university
• Expansion of strategic partnerships across the public and private sector
• Advocacy for sustained investment in science and technology