DesignLab
  • Departamento de Engenharia Mecatrônica
    Escola Politécnica - Universidade de São Paulo

D-Lab Talk: Data Space and Digital Transformation

Esta apresentação visou em primeiro lugar retomar a ideia original de John Mylopoulos de que o alvo da abordagem GORE foi inserir engenharia do conhecimento na modelagem e análise de requisitos. Assim, o processo de análise é essencial, e sem ela teríamos uma especificação abstrata e personificada, tornando o resultado difícil de ser revisado ou reusado. Esta afirmação inaugura um novo estágio para o D-Lab onde o GORA (Goal-Oriented Analysis) torna-se o foco, juntamente com a modelagem e a verificação, buscando um entendimento mais profundo do KAOS e do próprio método GORE.


Podemos dizer que os objetivos seriam a segunda geração dos objetos (puros), onde se acrescenta conhecimento ao processo, o que no OOD fica restrito a mensagens e troca de informação. É apenas o começo da discussão.


Atualizado em 02 de Março de 2024, 22:25

Datas

Data de Início:
21/02/2024 01/01/2000
Data final:
21/02/2024 01/01/2000

Colaboradores

Elinilson Vital

vital@usp.br

Master'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.

Jose Reinaldo Silva

reinaldo@usp.br

Bachelor 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.br

Graduated 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.

Miguel Orellana Postigo

brc02847@usp.br

Mechanical & Electrician Engineer at the National University of San Agustín - Peru, Specialist in Maintenance Management at the Federal University of Amazonas, MBA in Project Management at Gama Filho University, MSc in Electrical Engineering at Escola Politécnica at USP. Currently, pursuing a Ph.D. in Mechatronics Engineering from the Polytechnic School of USP. Got a position of Professor Assistant - B since 2013, in the Department of Electrical Engineering / Electronics (EST) at University Amazonas state UEA. Research interests are in Industrial Automation, Smart Grid systems, Systems design, formal modeling methods.

Sandro Breval Santiago

sbreval@gmail.com

Ph.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.

Yaney Gomez Correa

ygc8104@usp.br

Graduate in Automatic Control at Universidade de Oriente, Cuba, and worked in automated systems associated to power supply and petroleum in this country. Got a MSc. at D-Lab in the subject of Service Automation Design applied to Healthcare, proposing assistant services on top of a building and residence automation. Ph.D. student at D-Lab working in Model-based Requirements and Hierarchical AI Planning.

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