Projeto : StRITI4.0
Grupo de Pesquisa: Transformação Digital Estratégica
O Projeto StRITI4.0 (Strategic Roadmap for an Intelligent Transformation to I4.0) parte do pressuposto de que a Transformação Digital é essencialmente um processo estratégico e propõe tratá-la baseada em dados e Inteligência Artificial. Começa com uma análise paramétrica (maturidade e prontidão) e segue com uma análise ontológica dos objetivos da empresa (baseada em processos de automação) para com base nessa avaliação propor um objetivo estratégico e o plano estratégico opara passar de uma fase a outra seguindo métodos inspirados e desenvolvidos a parir do Planejamento Automático da Inteligência Artificial, aliado a métodos generativos.
Atualizado em
11 de Abril de 2026, 15:46
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
Alessandro Rodrigues Frias
alessandro.frias@ojipapeis.com.brAlessandro Rodrigues Frias graduated in Automation and Control at UNISAL and got a master and Ph.D in Chemical Engineering at Universidade de Campinas (UNICAMP). His Ph.D was in Digital Transformation, directed to paper and cellulose industry. Today he leads the group connected to the Technology Department of a distinguished paper and cellulose industrial group working in Digital Transformation toward I4.0. He also teaches courses on Digital Transformation at the lato sensu program of UNICAMP. His postdoc in D-Lab, Escola Politécnica focuses in the human aspects (I5.0) of the digital transformation in the industry and specially the paper and cellulose industry.
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.
