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Institutional development plan in the area of digital transformation: advanced manufacturing and smart and sustainable cities (PDIp)

Grant number: 17/50343-2
Support type:Research Grants - State Research Institutes Modernization Program
Duration: May 01, 2018 - April 30, 2021
Field of knowledge:Engineering - Electrical Engineering
Principal Investigator:Zehbour Panossian
Grantee:Zehbour Panossian
Home Institution: Instituto de Pesquisas Tecnológicas S/A (IPT). Secretaria de Desenvolvimento Econômico (São Paulo - Estado). São Paulo , SP, Brazil
Co-Principal Investigators:Agenor de Toledo Fleury ; Anarosa Alves Franco Brandão ; Antonio Carlos Seabra ; Carlos Eduardo Cugnasca ; Chang Chiann ; Cíntia Borges Margi ; Denis Fernando Wolf ; Edson Denner Leonel ; Fabio Kon ; Fabio Prates Machado ; Fernando Antônio Medeiros Marinho ; Gregório Cardoso Tápias Ceccantini ; Homero Delboni Junior ; João Paulo Papa ; José Alberto Quintanilha ; José Luís de Paiva ; Juliana Gardenalli de Freitas ; Luciana Wasnievski da Silva de Luca Ramos ; Mario Ricardo Gongora Rubio ; Maurício Pinheiro de Oliveira ; Maurício Vicente Donadon ; Mauro de Mesquita Spinola ; Michael John Brennan ; Pedro Henrique Santin Brancalion ; Pedro Luiz Pizzigatti Corrêa ; Rafael Giuliano Pileggi ; Raquel Gonçalves ; Roberto Guardani ; Ronaldo Domingues Mansano ; Sergio Takeo Kofuji ; Solange Nice Alves de Souza ; Song Won Park ; Thiago Martins ; Wilhelmus Adrianus Maria van Noije
Associated grant(s):18/17359-5 - Multi-user equipment approved in grant 2017/50343-2: universal testing machine, AP.EMU
Associated scholarship(s):19/21693-0 - Information system for analysis of large volumes of contaminated areas data, BP.DR
20/01515-8 - Development and evaluation of ecoefficient cementitious compositions for application as 3D printing, BP.MS
19/25805-8 - A big data tool for the analysis of data generated by an inertial MEMS sensor, BP.MS
+ associated scholarships 19/22643-7 - Development of a prototype using sensors for remote data acquisition in contaminated sites, BP.MS
19/18287-0 - Real-time urban forest management using machine learning, BP.PD
19/18818-6 - Optimized design of MEMS-based gyroscope, BP.DR
19/12933-8 - "development of etching processes to fabricate high aspect ratio microstructures in MEMS", BP.PD
19/17658-5 - Packaging project of inertial sensors using LTCC technology, BP.MS
19/16318-6 - Industry 4.0 deployment model, BP.MS
19/14011-0 - Machine learning for river flow modeling and flood prediction, BP.MS
19/10481-2 - Modelling of the wear of grinding media in the iron ore milling, BP.DR
19/08280-9 - Application of Bayesian deep learning for smart city monitoring and chemical industry processes operation, BP.MS
19/08850-0 - Development of fluid dynamics model for bubble column reactors: application in a vacuum degassing system for liquid metal treatment, BP.MS
19/01664-6 - Application of machine learning in the Internet of Things that compose the cyber-physical ecosystem of smart cities, BE.PQ
18/26226-9 - Study of simulation and optimization models using information generated in smart cities and industry 4.0 environments, BE.PQ
19/05840-3 - Mathematical modeling and computational simulation of gas-solid reactions in moving bed: application to the direct reduction process of iron ore, BP.DR
19/06377-5 - Computational fluid dynamics (CFD) study of a multiphase microorganism propagation step of a high-density bioreactor STR growth, BP.MS
19/03453-2 - MEMS-based inertial sensor for smart cities, BP.DR
19/04167-3 - Characterization and modeling of the geometrical distortion of thermoplastic composites, BP.DR
18/26592-5 - Development of a real-time forecasting model for demand and levels of reservoir with big data of water industry, BP.MS
18/14386-1 - Effect of condition of urban tree plantation in the soil available for its development and root morphology and distribution, BP.MS
18/23052-0 - Interoperability in the application layer in cyber-physical systems, BP.MS
18/15869-6 - Use of sensor nodes for soil variables monitoring and landslides early detection, BP.MS
18/21279-7 - Structuring geospatial information in big data for decision support, BP.MS - associated scholarships


The digital transformation is still little consolidated in Brazilian society. Improvements in performance and differentiation resulting of such transformation have not yet been fully absorbed in companies and in the public administration. In general, solutions required for implementing the digital transformation in cities and in manufacturing processes combine advanced connectivity and automation services, cloud computing, dedicated sensors, 3D printing, connection capabilities, computational processes, intelligent algorithms, and the Internet of Things. Combined efforts among companies, government and Reference Institutions of Science and, technology (ICTs from Portuguese) are required to realize this transformation in Brazil. It is understood that IPT can become one of those reference ICTs. In this Institutional Research Development Plan - PDIP from Portuguese, the topic in question is addressed in two research domains - Advanced Manufacturing and Smart and Sustainable Cities. These topics are strongly related to IPT's mission to develop and apply technological solutions to increase the competitiveness of companies and promote the quality of life. In order to do so, it will be necessary to broaden and reinforce IPT's material and human resources for conducting research on core themes such as cyber physical systems, smart sensors and mathematical modeling that are within proposed research domains. This is intended to be achieved through the implementation of this PDIP. The Plan shall be carried out through actions in four areas: Infrastructure, Human Resources, Digital Capability and Creation of Prototypes by means of experimental activities. The expected results from this PDIP are: - To create the bases of a research powerhouse in Digital Transformation having as anchor institutions the IPT itself and the University of São Paulo; - Expand IPT's portfolio and intensify its interaction with companies and society; - To change the profile of the Institute's activities in order to emphasize the ability to conduct applied research and generate innovation. (AU)

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