Ongoing Scientific Projects
Automated Generation of Multiple-Choice Questions in the Portuguese Language. CNPq Universal. PI
Customization of Automated Generation of Multiple-Choice Questions in the Portuguese Language. CNPq Research Productivity Grant. PI
A Multi-Agent LLM-based Approach to Personalized Generation of Learning Activities. FAPESP Research grant. PI
Application of Large Language Models for online monitoring of industrial processes. Industry Project in partnership with Petrobras S. A. PI
Construction and Use of Knowledge Bases in Automated Question and Answer Systems. Industry Project in partnership with GoBots Intelligent Solutions Ltda. PI
H.IAAC: Hub for Artificial Intelligence and Cognitive Architecture. Associate Researcher.
Concluded Scientific Projects as Principal Investigator
Learning Support via Natural Language Questions and Answers Systems. PRP/Unicamp Research grant.
KGevol: Dynamic Knowledge Graphs Extracted from Unstructured Textual Information. FAPESP Research grant.
EvOLoD: Linked Data Evolution on the Semantic Web. FAPESP Young Investigator grant.
Managing the Effects of Linked Data Evolution. FAPESP Sprint grant with Swinburne University of Technology, Australia.
Dynamic Knowledge Graphs from Scientific Textual Documents. Unicamp grant with Cardiff University, UK.
Interactive Construction of Knowledge Graphs for Clinical Information Capture. FAPESP Research Industrial Grant with Precision Data Ltda.
Methods for semantic analysis of dialog flows in natural language in Portuguese. Industry Project in partnership with CI&T Software S/A.
iMEanT: Methods for Dealing with Meanings and Intentions on Interactive Collaborative Systems. Postdoctoral FAPESP grant.
Concluded Scientific Projects as Associate Researcher
Networked Remote Education for All - a low-cost virtual environment for vulnerable populations. FAPESP Research Grant with NIED.
Socioenactive Systems: Investigating New Dimensions in the Design of Interaction. FAPESP Thematic Project grant.
Arapuan: Interoperability of agricultural data in eScience. CNPq Research grant.
Geo-spatial processing of IOT streams in digital agriculture: the case for actor database systems. FAPESP Sprint grant with the University of Copenhagen, Denmark. Associate Researcher
OpenDesign: Techniques and Artifacts for the Socially Aware Design of Computing Systems. FAPESP/MCTI/MC/CGI grant.
Modeling and Developing Actor Database Applications. A grant from the Danish Agency for Science and Higher Education. International Network Programme with the University of Copenhagen, Denmark
DynaMO: Reconciliation of Dynamic Medical Knowledge Organization Systems. Grant from the Luxembourg National Research Fund at the Luxembourg Institute of Science and Technology
e-Cidadania: Systems and Methods for the Constitution of a Culture mediated by ICTs. FAPESP/Microsoft Research grant.
SIAjIU: Adjustable Interactive Systems via User Interfaces. CNPq grant.
Harpia: Risk Analysis and Applied Artificial Intelligence
Research Impact
Leadership in ontology engineering and dynamic knowledge graphs, with seminal contributions to ontology alignment, evolution, consistency management, and temporal knowledge graphs, validated through high-impact publications and award-winning research.
Advancement of neuro-symbolic AI through the integration of Large Language Models and structured knowledge, enabling explainable, robust, and domain-aware systems for question answering, recommendation, and decision support. Knowledge-grounded and explainable AI, integrating LLMs with knowledge graphs, retrieval mechanisms, embeddings, and semantic validation.
Design and orchestration of LLM-based agent and multi-agent architectures, addressing autonomy, coordination, memory, reflection, and human-in-the-loop interaction in complex environments such as education, e-commerce, and industrial monitoring.
Agentic AI and LLM-based multi-agent systems for autonomous reasoning, reflection, memory, and collaborative task solving across real-world domains.
Pioneering research in human-centered and socioenactive AI, bridging Human–Computer Interaction, Human–AI Interaction, and participatory design to ensure usability, accessibility, and ethical alignment of intelligent systems.
Production of impactful research artifacts, including patented software, reusable frameworks, benchmarks, and applied systems, supporting both scientific reproducibility and technology transfer.
Demonstrated academic, industrial, and societal impact, through the coordination of competitive funded projects, international collaborations, industry partnerships, and the supervision of a large body of M.Sc., P.hD., and postdoctoral researchers.
Delivering practical solutions in e-commerce, education, and socioenactive human–AI interactions.
Academic Leadership
Academic leadership and institutional service, including roles as Director of the Nucleus of Informatics Applied to Education (NIED/UNICAMP), Deputy of the Department of Information Systems, Deputy of the Research Committee at the Institute of Computing contributing to strategic decision-making and academic governance.
Community building and scientific dissemination, through the organization and co-organization of major national and international conferences and workshops (e.g., AIED, ISWC workshops), strengthening research networks and fostering knowledge exchange.
Extensive peer-review and evaluation service, acting as reviewer for high-impact international journals and conferences, and serving on numerous program committees, doctoral and master thesis committees, and public academic examinations.
Graduate and undergraduate research training, with sustained supervision of postdoctoral researchers, Ph.D. and M.Sc. students, undergraduate research projects, and final-year projects, contributing directly to capacity building and researcher formation.
Curriculum development and teaching innovation, including the creation of new graduate-level courses in Semantic Web and Ontology Engineering, and continuous teaching contributions across undergraduate, graduate, and extension programs.
Promotion of academia–industry collaboration and technology transfer, through the coordination of funded research projects with industry partners and public agencies, translating academic research into real-world impact while enriching academic research agendas.