About me
I am a Full Professor at the Computer Sceince Department of the Aeronautics Institute of Technology. I hold a Doctorate in Electronic Engineering and Computing from the Aeronautics Institute of Technology (ITA - Instituto Tecnológico de Aeronáutica). I coordinated the Big Data Science Laboratory and the Complementary Training Program in Data Science at ITA, served as the Head of the Computer Science Department at ITA until March 2020, and I am a collaborating researcher at The National Center for Ontological Research (NCOR) at the State University of New York at Buffalo.
My research interests include Computer Science, Ontology, Knowledge Graphs, Linked Data/Semantic Web, and Neuro-Symbolic AI (knowledge representation and LLMs). I am the director of the Data & Ontology Research Group
http://dgp.cnpq.br/dgp/espelhogrupo/731693 in which we carry out reserach and development projects.Research Interests
Computer Science
The foundational study of computation, information, and automation, encompassing everything from theoretical algorithms to software engineering and the development of intelligent systems.
Ontology
A branch of knowledge representation that defines a formal set of concepts, categories, and properties within a specific domain to establish a shared, machine-readable vocabulary for data and relationships.
Knowledge Graphs
Large-scale networks of interconnected entities and their relationships, organized into a graph structure that enables complex querying and provides a structured "backbone" for AI systems to understand real-world context.
Linked Data / Semantic Web
An extension of the World Wide Web that uses standardized protocols (like RDF and SPARQL) to interlink diverse datasets across the internet, transforming the web into a global, machine-readable database.
Neuro-Symbolic AI
A hybrid AI paradigm that combines the pattern-recognition strengths of Neural Networks (like LLMs) with the logical reasoning and explicit knowledge representation of Symbolic AI, aiming to create models that are both powerful and explainable.
Some Selected Publications
Para lista completa de publicações, consulte meu perfil no https://lattes.cnpq.br/9413052240755786
Recent Courses
Database Techniques (Técnicas de Banco de Dados)
The course objective is to provide a theoretical and practical foundation on the main database techniques, including the various methods of data storage, retrieval, and analysis. Syllabus: Systems Development Concepts. Database Concepts. Conceptual Model. Entity-Relationship Model (ERM). Relational Model. Storage Structures. Structured Query Language (SQL). Query Processing. Relational Algebra and Calculus. Transaction and Concurrency. Data Warehouse. Data Mining. Big Data Techniques. Relational Database Design.
Undergrad CourseOntology and Data Modeling
There is a consensus nowadays that the WWW has profound impact on the way people communicate with each other, how information is disseminated and accessed, and how business is carried out. Along with the internet, information systems generate tons of data every day. As a consequence, information systems need more powerful ways to cope with such a data deluge in terms of organizing, retrieving and processing data according to the business in question. This course is all about the technologies, languages and tools related to the use of ontologies in data modeling to support information systems, such as technical and administrative applications database, and AI applications. Syllabus: General Concepts of Data. Conceptual Modeling. General Concepts and Types of Ontologies. Foundational Ontologies. Ontology Development. Ontology Implementation with OWL. Knowledge Graphs. Relational Data Modeling. Non Relational Data Modeling. Ontology-Based Data Integration. Ontology Roles in Information and Artificial Intelligence Systems. Ontology and Knowledge Graph in LLM.
Grad CourseSupervisees/ Advisees With Defined Project
Post-doc
Doctorate
Aplicação de ontologias e processamento de linguagem natural na identificação de demandas judiciais repetitivas candidatas à aplicação do Incidente de Resolução de Demandas Repetitivas (IRDR)
Master's
Estudo de Modelo de Grafo de Conhecimento para Restringir Contexto de Análise de LLM
Grafos como base para Arquitetura de Integração de Sistemas e Inteligência Artificial
Quais fatores contextuais influenciam a adoção da computação em nuvem nas organizações e como essas decisões podem ser apoiadas?
Research Initiation
Estudo de LLM alimentada com grafo de conhecimento
Contact
Office
Electronics and Computing Building, Room 111
Aeronautics Institute of Technology (ITA)
Pca Mal do Ar Eduardo Gomes, 50, CEP 12.228-900
Phone
+55 (12) 3947-6941