Projeto integrador do D-Lab
Desenvolvimento de um APR (Auxílio à Pesquisa Regular) para dar suporte acadêmico a um projeto unificado do D-Lab, integrando todas as atividades que estão sendo desenvolvidos nesse momento (e com potencial de inclusão das atividades dos posdocs e de novos integrantes). O foco acadêmico é o desenvolvimento de sistemas de serviço com aplicações em processos produtivos, tendo como deliverable um sistema de apoio baseado em conhecimento na nuvem.
A equipe do D-Lab nesse momento conta com seis pessoas: o coordenador, dois mestrandos, dois doutorandos e um IC. Temos ainda dois posdocs em processo de elaboração e submissão dos respectivos planos de trabalho, o que somaria oito componentes. Com o projeto abrimos espaço para migrar as atuais bolsas (uma de mestrado e uma de doutorado) para a FAPESP e incluir mais seis novos participantes (reaproveitando as bolsas CAPES), um crescimento de 75%. Ainda não está confirmado mas o projeto implica em ter pelo menos um pesquisador associado além dos posdocs e o Javier Martinez é o convidado.
Atualizado em
26 de Abril de 2025, 19:05
Datas
- Data de Início:
- 25/04/2025 01/01/2000
- Data final:
- 24/05/2025 01/01/2000
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.
Javier Martinez Silva
javier.cu@gmail.comGraduated in Computer Science from Universidad de Oriente, Cuba and received a Master in Computer Science from this same institution. Ph.D. in Mechatronics (Mechanical Control and Automation) from Escola Politécnica, USP, working with D-Lab. Postdoc in D-Lab, where he also acted on implementing the USP-AWS agreement. His research interests are in formal methods for modeling and analysis of requirements in automation projects and working with AI Planning to design modeling. Worked in the Samsung Research Center and is now working in Instituto Eldorado, another research institution linking the academy and the market.
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.
Leonardo Morais de Souza
leosouza@usp.brGraduated in Control & Automation Engineering at FEI University and a MBA in Financial Risk Management at Saint Paul Business School. Master student at D-Lab working in a Dynamic and Agile Framework for Modeling Automated Systems in Frequent Evolution. Works at the Itaú Bank, in hight tech monitoring systems to detect financial irregular movements in accounts.
Luiz Fernando Ferreira da Silva
luizffs@usp.brGraduated in Mechatronics by Escola Politécnica da USP with academic interests in programming and requirements analysis. Had an internship in MVISIA and worked at WEG developing computer vision solutions in Python. Started to work in D-ab directing his interests to obtain a Master degree in the area of AI Planning.
Matheus Alexandrino Brito
matheus.a.brito12@usp.brMatheus is a undergad student in the Mechatronics course and has a scholarship from USP, associated to D-Lab. His interests are in automation processes, particularly those involving Artificial Intelligence and AI Planning. Therefore, he join the research line in AI Planning and Machine Intelligence and do the project DiPlant (Didatic Planning Tool) - a system for analyzing plans (or post-planning) expected to be used in the undergrad course PMR3510 Inteligência Artificial.
Sandro Breval Santiago
sbreval@gmail.comPh.D. in Industrial Engineering at the Federal University of Santa Catarina, Brazil, became an Digital Transformation Expert at RWTH University, Germany. Developed expertise in the areas of technologic advances for industry and create a system to evaluate the degree of maturity and readiness to allow companies to be involved in the process of technologic advances. The system is called PIMM4.0 and is directed to the process of transformation to Industry 4.0. Works today in collaboration with D-Lab to develop a formal roadmap to be a reference to processes of Digital Transformation toward I4.0. Professor in the Federal University of Amazon.
