IARA - Artificial Intelligence in the Remaking of Urban Environments

• Grant number: 20/09835-1
• Support Opportunities: Research Grants - Research Centers in Engineering Program
• Duration: August 01, 2023 - July 31, 2028
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Convênio/Acordo: MCTI/MC
• Principal Investigator: André Carlos Ponce de Leon Ferreira de Carvalho
• Grantee: André Carlos Ponce de Leon Ferreira de Carvalho
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Host Company: Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC)
• City: São Carlos
• Pesquisadores principais: Adenilso da Silva Simão ; Alexandre Plastino de Carvalho ; Alneu de Andrade Lopes ; Carlos Renato Lisboa Francês ; Francisco Aparecido Rodrigues ; Gislaine Aparecida da Silva ; Marcelo Eduardo Vieira Segatto ; Márcio Porto Basgalupp ; Marley Maria Bernardes Rebuzzi Vellasco ; Teresa Bernarda Ludermir
• Associated researchers: Aldebaro Barreto da Rocha Klautau Junior ; Alex Akira Bueno Sato ; Alexandre César Muniz de Oliveira ; Ana Carolina Lorena ; Ana Lúcia Cetertich Bazzan ; André Britto de Carvalho ; André Luis Debiaso Rossi ; André Luis Santiago Maia ; Anne Magaly de Paula Canuto ; Antônio Augusto Chaves ; Antonio Gentil Ferraz Junior ; Ariel Soares Teles ; Arismar Cerqueira Sodré Junior ; Bruno Almeida Pimentel ; Bruno Bogaz Zarpelão ; Bruno Requião da Cunha ; Carlo Requião da Cunha ; Carmelo José Albanez Bastos Filho ; Cindy Stella Fernandes ; Cristina Dutra de Aguiar ; Davi Pereira dos Santos ; Davi Viana dos Santos ; David Livingstone Alves Figueiredo ; Dennis Brandão ; Diego Lisboa Cardoso ; Dimas Betioli Ribeiro ; Edgar Vilela Gadbem ; Elaine Ribeiro de Faria Paiva ; Emerson Carraro ; Eufrásio de Andrade Lima Neto ; Evelin Helena Silva Cardoso ; Fabio Gagliardi Cozman ; Fabio Kon ; Fábio Manoel França Lobato ; Fernanda Regina Smith Neves Corrêa ; Fernando Buarque de Lima Neto ; Fernando Vieira Paulovich ; Francisco de Assis Tenorio de Carvalho ; Francisco José da Silva e Silva ; Francisco Louzada Neto ; Gecynalda Soares da Silva Gomes ; George Darmiton da Cunha Cavalcanti ; Geraldo Neves de Albuquerque Maranhão ; Glauco Antonio Truzzi Arbix ; Hélio Crestana Guardia ; Heloisa de Arruda Camargo ; Janaina Gaspar Ruas ; Jasmine Priscyla Leite de Araújo ; Jessé Gomes dos Santos ; João Crisóstomo Weyl Albuquerque Costa ; João Eduardo Ferreira ; João Roberto Bertini Junior ; José Alberto Cuminato ; José Ricardo Descardeci ; Josiane do Couto Rodrigues ; Josiel Neumann Kuk ; Juliano Souza Albuquerque Maranhão ; Kelly Rosa Braghetto ; Leandro Callegari Coelho ; Liana Dessandre Duenha Garanhani ; Luciano Reis Coutinho ; Luis Gustavo Nonato ; Marcelino Silva da Silva ; Marcos Gonçalves Quiles ; Maria Cristina Ferreira de Oliveira ; Mariá Cristina Vasconcelos Nascimento Rosset ; Moacir Antonelli Ponti ; Murilo Coelho Naldi ; Nandamudi Lankalapalli Vijaykumar ; Omar Andres Carmona Cortes ; Paulo José da Silva e Silva ; Paulo Renato Alves Firmino ; Rafael Amatte Bizão ; Ricardo Cerri ; Ricardo Ribeiro dos Santos ; Richard Aderbal Gonçalves ; Roberto Silva Netto ; Rodolfo Ipolito Meneguette ; Rodolfo Jardim de Azevedo ; Romain Giot ; Ronaldo Cristiano Prati ; Rúbia Mara de Oliveira Santos ; Sílvio Renato Dahmen ; Spencer Luiz Marques Payão ; Sylvio Barbon Junior ; Tarcísio Daniel Pontes Lucas ; Tiago Botari ; Tiago Silva da Silva ; Valerio Rosset
• Associated grant(s): 23/14879-6 - Personalised pathway modelling and prediction under uncertainty for complex diagnostic and clinical management pathways, AP.R SPRINT; 22/14098-1 - Neuro-GEMA: a grammar-based evolutionary method to automatically design flexible convolutional neural networks, AP.R SPRINT; 22/03590-2 - GECCO 2022 - The Genetic and Evolutionary Computation Conference, AR.EXT
• Associated scholarship(s): 24/09183-5 - Instance Hardness in cancer image analysis: Increasing the reliability of predictions in diagnostics through meta-Learning, BP.IC; 24/08236-8 - Intelligent Architecture for Water Distribution: Robust Clustering to Demand Variations under Federated Learning, BP.IC; 24/00506-6 - Smart and sustainable cities, digital narratives: artificial intelligence transforming the way we live and coexist, BP.JC; + associated scholarships 23/06737-7 - Graph Neural Networks applied to classification of autism symptoms in fMRI data, BP.MS; 22/05788-4 - Interpretable Machine Learning for Medical Applications based on Images, BP.DR; 22/02113-6 - Integrating multiagent systems for land use and transport with artificial city generation, BP.IC - associated scholarships

Abstract

The Applied Research Center for in Artificial Intelligence, IARA, is formed by a multidisciplinary team, with national experts of internationally recognized for their competence in artificial intelligence, internet of things telecommunications and smart cities. The center, hosted in São Carlos, in the state of São Paulo, will work in network with researchers from all Brazilian regions, organized in nodes. Thus, a differential of this center proposal is that, together with the center based in São Carlos, a network of nodes, or sub-headquarters, located in Scientific, Technological and Innovation Institutions from all regions of the country will be formed. The center has researchers from several Scientific, Technological and Innovation Institutions from the state of São Paulo, including all public universities. The center aims to cover five aspects of smart cities: cybersecurity, education, infrastructure, environment and health. In the aspect related to infrastructure, the subthemes of energy, communication and mobility are of particular interest. Due to its applied character, an agreement was reached with some cities in the country and a group of companies whose activities encompass the mentioned themes is also participating of the center. The transfer of technology, education and the dissemination of knowledge for the correct, fair, transparent and efficient use of Artificial Intelligence for the promotion of smart cities in Brazil and abroad will be emphasized in the center. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

ALVES, CAROLINE L.; TOUTAIN, THAISE G. L. DE O.; PORTO, JOEL AUGUSTO MOURA; AGUIAR, PATRICIA MARIA DE CARVALHO; DE SENA, EDUARDO PONDE; RODRIGUES, FRANCISCO A.; PINEDA, ARUANE M.; THIELEMANN, CHRISTIANE. Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia. JOURNAL OF NEURAL ENGINEERING, v. 20, n. 5, p. 28-pg., 2023-10-01. (20/09835-1, 13/07375-0)

PEREIRA, GEAN T.; SANTOS, IURY B. A.; GARCIA, LUIS P. F.; URRUTY, THIERRY; VISANI, MURIEL; DE CARVALHO, ANDRE C. P. L. F.. Neural architecture search with interpretable meta-features and fast predictors. INFORMATION SCIENCES, v. 649, p. 17-pg., 2023-09-13. (19/19994-2, 20/09835-1)