Research Projects

Principal Investigator

• Contextual Similarity Learning Applied to Graph Convolutional Networks for Image Classification and Retrieval
  FAPESP — Regular Research Grant — Grant 2025/10602-5.
  
  Project period: February 2026 – January 2029
  Status: Ongoing
  Principal investigator: Lucas Pascotti Valem
  
  Summary: Investigation of Graph Convolutional Networks (GCNs) for image classification and retrieval with limited annotated data. The project explores contextual and ranking information to improve representations, graph construction, the use of labels, and training strategies.

Associate Researcher

• IntegraSanca: Connecting Data, Transforming São Carlos
  FAPESP — Science for Development Center (CCD) — Grant 2025/07160-0.
  
  Project period: November 2025 – October 2030
  Status: Ongoing
  Principal investigator: Kalinka Regina Lucas Jaquie Castelo Branco
  
  Summary: Integration and interoperability of data from the São Carlos municipal government to support more efficient, secure, and transparent public administration. The project combines databases, artificial intelligence, information security, and software engineering.

• Intelligent Management of Multimodal Health Data for Decision-Making in Big Data Scenarios – IHealth-MD
  FAPESP — Thematic Project — Grant 2024/13328-9.
  
  Project period: August 2025 – July 2030
  Status: Ongoing
  Principal investigator: Agma Juci Machado Traina
  
  Summary: Integration and analysis of multimodal health data using Big Data and artificial intelligence. The project aims to extract knowledge from clinical records and support decision-making, initially focusing on pulmonary and cardiovascular diseases.