Data Space aplicada a Saúde
Grupo de Pesquisa
O grupo de pesquisa estuda o data-driven design aplicado a um dos nichos prioritários: o setor de saúde e seu processo de digitalização, essencial para a agilidade de prestação de serviços no setor. Uma startup de base tecnológica foi criada por integrantes do grupo, em parceria com o INTECH do Hospital Universitário da USP, na pessoa do pesquisador, Dr. Oscar Fugita, com o intuito de desenvolver um modelo de referência para o design customizado de serviços no setor de saúde e para prover integração multimodal de dados.
Atualizado em
14 de Junho de 2026, 22:46
Pesquisador Responsável
Jose Reinaldo Silva
reinaldo@usp.brBachelor in Physics from Bahia Federal University, got aMSc in Physics from Pernanbuco Federal University UFPE, and a MA in Computer Science from Mills College, USA. PhD in Computer Engineering by Universith of São Paulo and postdoc in Computer Science and in Systems Design Engineering at University of Waterloo, Ca. Research interests are in Engineering Systems Design, Requirements Engineering, Service Design Management and Engineering, Artificial Intelligence, Planning & Scheduling, Formal Verification methods, Data Spaces and Digital Transformation towards Industry 4.0.
Colaboradores
Elinilson Vital
vital@usp.brMaster's student in Mechatronics Engineering at the Polytechnic School of the University of São Paulo, focusing on the theme Cloud Manufacturing Services (CMfgS): Modeling of automated production systems in the cloud. Graduated in Applied Mathematics in Mechanical Control and Automation from the Institute of Mathematics and Statistics of the same university, focusing on formal requirements analysis, service science, distributed systems, knowledge bases, and data spaces. Demonstrates ability to apply mathematical and computational knowledge to solve complex problems and promote technological innovations. Practical experience includes data science, data grouping and their applications, as well as in modeling and analysis of automation systems, also in programming and simulation, including algorithms and data structures, concurrent and parallel programming, and numerical methods for differential equations. The main research interests are currently focused on deepening knowledge in Service Science and Data Spaces, aiming to develop innovative solutions that optimize business processes and increase technological efficiency in distributed environments, uniting mathematics, computing, and engineering.
