IARA - Artificial Intelligence in the Remaking of Urban Environments

• Grant number: 20/09835-1
• Support Opportunities: Research Grants - Applied Research Centers Program
• Start date: August 01, 2023
• End date: July 31, 2028
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Agreement: 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
• City of the host institution: São Carlos
• Company: Intel Semicondutores do Brasil Ltda; Máquinas Agrícolas Jacto S/A; Splice Indústria, Comércio e Serviços Ltda; FCA Fiat Chrysler Automóveis Brasil Ltda
• Principal investigators: 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 Augusto de Aragão Rocha ; 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 Jose 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 ; Franklina Maria Bragion de Toledo ; 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 ; Jose 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 ; Maria Mercedes Gamboa Medina ; Maristela Oliveira dos Santos ; 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 research 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): 25/20630-6 - Crime data analytics using AI and complex networks, BP.PD; 25/13215-2 - Integrated Database and Artificial Intelligence approach for exploring public health data with a focus on precision medicine, BP.PD; 25/12913-8 - Development of an intelligent platform with Continuous Learning for adaptive route and charging planning of electric vehicles in smart cities., BP.PD; + associated scholarships 25/11306-0 - Robustness of Complex Networks: An Approach Using Machine Learning Methods, BP.PD; 25/02986-8 - Transformer-based approach for analyzing movement in children on the Autism Spectrum, BP.IC; 24/17823-4 - Machine Learning, Complex Networks and Multidimensional Time Series, BP.PD; 24/10958-1 - Decoding the language of life: Towards protein classification and design through large language models, BP.DD; 24/09181-2 - Explainability in Graph Neural Networks for Autism Assessment Using fMRI Analysis, BP.IC; 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; 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

(30)

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

NESPOLO, RENAN GUILHERME; VALEJO, ALAN DEMETRIUS BARIA; LOPES, ALNEU DE ANDRADE. Predicting Land Sensing Indicators With Geolocalized Complex Network. IEEE Geoscience and Remote Sensing Letters, v. 22, p. 5-pg., 2025-01-01. (21/06210-3, 22/03090-0, 22/09091-8, 20/09835-1)

LOBER, L.; PALMERO, M. S.; RODRIGUES, F. A.. Parameter inference in nonlinear dynamical systems via recurrence plots and convolutional neural networks. PHYSICAL REVIEW E, v. 112, n. 1, p. 13-pg., 2025-07-10. (13/07375-0, 22/16065-3, 20/09835-1, 23/07704-5, 13/07375-0)

DOS SANTOS, NICOLAS ROQUE; MINATEL, DIEGO; BARIA VALEJO, ALAN DEMETRIUS; LOPES, ALNEU DE A.. Bipartite Graph Coarsening for Text Classification Using Graph Neural Networks. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2023, PT I, v. 14469, p. 16-pg., 2024-01-01. (21/06210-3, 22/03090-0, 22/09091-8, 20/09835-1)

TORQUETTE, GUSTAVO; BASGALUPP, MARCIO P.; LUDERMIR, TERESA B.; LORENA, ANA CAROLINA. Network-based Instance Hardness Measures for Classification Problems. 40TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 8-pg., 2025-01-01. (22/07458-1, 21/06870-3, 20/09835-1)

PREM BIANZINO, ARUNA; MONTES-LOPEZ, JUAN MANUEL; SERRANO, PABLO; ROCHA, ANTONIO A. DE A.. Multiscale Radio Reconfigurations: A Trace-Driven Approach to Estimating Network Performance. 2025 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, v. N/A, p. 6-pg., 2025-01-01. (20/09835-1)

NASCIMENTO, ALEXANDRE M.; DE MELO, VINICIUS V.; BASGALUPP, MARCIO P.. Swapping training optimizers and tiny partial datasets to improve performance of lighter neural networks for edge devices. 38TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2023, v. N/A, p. 8-pg., 2023-01-01. (20/09835-1, 22/07458-1)

LOBER, LUIZA; ROSTER, KIRSTIN O.; RODRIGUES, FRANCISCO A.. Forecasting infectious diseases in Brazilian cities: Integrating socio-economic and geographic data from related cities through a machine learning approach. CHAOS SOLITONS & FRACTALS, v. 187, p. 6-pg., 2024-08-30. (13/07375-0, 22/16065-3, 13/07375-0, 20/09835-1)

DA SILVA, CLEBER A. C. F.; ROSA, DANIEL CARNEIRO; MIRANDA, PERICLES B. C.; SI, TAPAS; CERRI, RICARDO; BASGALUPP, MARCIO P.. Automated CNN optimization using multi-objective grammatical evolution. APPLIED SOFT COMPUTING, v. 151, p. 10-pg., 2023-12-13. (20/09835-1, 22/07458-1)

RODRIGUES, FRANCISCO A.; PERON, THOMAS; CONNAUGHTON, COLM; KURTHS, JURGEN; MORENO, YAMIR. A machine learning approach to predicting dynamical observables from network structure. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SC, v. 481, n. 2306, p. 12-pg., 2025-01-29. (24/02322-0, 15/50122-0, 20/09835-1, 23/07481-6, 13/07375-0)

MINATEL, DIEGO; PARMEZAN, ANTONIO R. S.; DOS SANTOS, NICOLAS ROQUE; CURI, MARIANA; LOPES, ALNEU DE ANDRADE. A DIF-Driven Threshold Tuning Method for Improving Group Fairness. 40TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 9-pg., 2025-01-01. (20/09835-1, 22/09091-8, 22/02176-8)

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)

SALLUM, LORIZ FRANCISCO; ALVES, CAROLINE L.; TOUTAIN, THAISE G. L. DE O.; PORTO, JOEL AUGUSTO MOURA; THIELEMANN, CHRISTIANE; RODRIGUES, FRANCISCO A.. Revealing patterns in major depressive disorder with machine learning and networks. CHAOS SOLITONS & FRACTALS, v. 194, p. 16-pg., 2025-03-03. (13/07375-0, 24/02322-0, 20/09835-1)

BARROS DA SILVA, ARNALDO, V; SALDIVIA-SIRACUSA, CRISTINA; CARLOS DE SOUZA, EDUARDO SANTOS; DAMACENO ARAUJO, ANNA LUIZA; LOPES, MARCIO AJUDARTE; VARGAS, PABLO AGUSTIN; KOWALSKI, LUIZ PAULO; SANTOS-SILVA, ALAN ROGER; DE CARVALHO, ANDRE C. P. L. F.; QUILES, MARCOS G.. Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2024, PT I, v. 14813, p. 14-pg., 2024-01-01. (20/09835-1, 22/09285-7)

COATRINI-SOARES, ANDREY; SOARES, JULIANA COATRINI; POPOLIN-NETO, MARIO; DE MELLO, SUELEN SCARPA; SANCHES, EDGAR AP.; PAULOVICH, FERNANDO V.; OLIVEIRA JR, OSVALDO N.; MATTOSO, LUIZ HENRIQUE CAPPARELLI. Multidimensional calibration spaces in Staphylococcus Aureus detection using chitosan-based genosensors and electronic tongue. International Journal of Biological Macromolecules, v. 271, p. 10-pg., 2024-05-29. (18/22214-6, 20/09835-1, 18/18953-8)

BARATELA, EDUARDO ALVES; XAVIER, FELIPE JORDAO; PERON, THOMAS; RIBEIRO VILLAS-BOAS, PAULINO; RODRIGUES, FRANCISCO APARECIDO. Predicting soccer matches with complex networks and machine learning. JOURNAL OF COMPLEX NETWORKS, v. 12, n. 6, p. 16-pg., 2024-11-05. (20/09835-1, 13/07375-0)

BASGALUPP, MARCIO P.; BARROS, RODRIGO C.; CERRI, RICARDO; NERI, FERRANTE; MIRANDA, PERICLES B. C.; LUDERMIR, TERESA. Grammar-based Evolutionary Approaches for Software Effort Estimation. 2025 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, CEC, v. N/A, p. 4-pg., 2025-01-01. (22/07458-1, 21/06870-3, 20/09835-1)

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)

INOCENCIO JUNIOR, RONALDO LOPES; BASGALUPP, MARCIO P.; LUDERMIR, TERESA B.; LORENA, ANA CAROLINA. Data Balancing for Mitigating Sampling Bias in Machine Learning. 40TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 9-pg., 2025-01-01. (22/07458-1, 21/06870-3, 20/09835-1)

DOS SANTOS, NICOLAS R.; MINATEL, DIEGO; VALEJO, ALAN D. B.; LOPES, ALNEU A.. One-mode Projection of Bipartite Graphs for Text Classification using Graph Neural Networks. 40TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 3-pg., 2025-01-01. (22/03090-0, 20/09835-1, 22/09091-8, 21/06210-3)

KNOBLAUCH, STEFFEN; YIN, MYAT SU; CHATRINAN, KRITTIN; ROCHA, ANTONIO AUGUSTO DE ARAGAO; HADDAWY, PETER; BILJECKI, FILIP; LAUTENBACH, SVEN; RESCH, BERND; ARIFI, DORIAN; JAENISCH, THOMAS; et al. High-resolution mapping of urban Aedes aegypti immature abundance through breeding site detection based on satellite and street view imagery. SCIENTIFIC REPORTS, v. 14, n. 1, p. 13-pg., 2024-08-06. (20/09835-1)

DOS SANTOS, NICOLAS ROQUE; MINATEL, DIEGO; BARIA VALEJO, ALAN DEMETRIUS; LOPES, ALNEU DE ANDRADE. Semi-supervised Coarsening of Bipartite Graphs for Text Classification via Graph Neural Network. 2024 IEEE 11TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS, DSAA 2024, v. N/A, p. 10-pg., 2024-01-01. (20/09835-1, 22/09091-8, 21/06210-3)

MIRANDA, THIAGO Z.; SARDINHA, DIORGE B.; NERI, FERRANTE; BASGALUPP, MARCIO P.; CERRI, RICARDO. A Grammar-based multi-objective neuroevolutionary algorithm to generate fully convolutional networks with novel topologies. APPLIED SOFT COMPUTING, v. 149, p. 12-pg., 2023-10-30. (22/14098-1, 22/03590-2, 20/09835-1, 22/07458-1, 13/07375-0)

PEREIRA-SANTOS, DAVI; NEVES, TACITO T. A. T.; DE CARVALHO, ANDRE C. P. L. F.; PAULOVICH, F. V.. Nonparametric Dimensionality Reduction Quality Assessment based on Sortedness of Unrestricted Neighborhood. EUROVIS WORKSHOP ON VISUAL ANALYTICS, EUROVA 2023, v. N/A, p. 6-pg., 2023-01-01. (20/09835-1)

MARTINELLI, TIAGO; ALETA, ALBERTO; RODRIGUES, FRANCISCO A.; MORENO, YAMIR. Informational approach to uncover the age group interactions in epidemic spreading from macro analysis. PHYSICAL REVIEW E, v. 110, n. 6, p. 13-pg., 2024-12-31. (20/09835-1, 18/12072-0, 20/04543-2, 13/07375-0)

REBELO DOS SANTOS, LUCIANA BRASIL; DE SOUZA, ERICA FERREIRA; ENDO, ANDRE TAKESHI; TRUBIANI, CATIA; PINCIROLI, RICCARDO; VIJAYKUMAR, NANDAMUDI LANKALAPALLI. Performance regression testing initiatives: a systematic mapping. INFORMATION AND SOFTWARE TECHNOLOGY, v. 179, p. 20-pg., 2024-12-18. (23/00577-8, 20/09835-1)

ALEXANDRE, MICHEL; RODRIGUES, FRANCISCO A.. Complex Financial Networks. Brazilian Journal of Physics, v. 55, n. 1, p. 8-pg., 2025-02-01. (20/09835-1, 13/07375-0)

MINATEL, DIEGO; PARMEZAN, ANTONIO R. S.; CURI, MARIANA; LOPES, ALNEU DE A.. DIF-SR: A Differential Item Functioning-Based Sample Reweighting Method. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2023, PT I, v. 14469, p. 16-pg., 2024-01-01. (22/02176-8, 20/09835-1)

MINATEL, DIEGO; DOS SANTOS, NICOLAS ROQUE; DA SILVA, VINICIUS FERREIRA; CURI, MARIANA; LOPES, ALNEU DE ANDRADE. Item Response Theory in Sample Reweighting to Build Fairer Classifiers. INFORMATION MANAGEMENT AND BIG DATA, SIMBIG 2023, v. 2142, p. 15-pg., 2024-01-01. (20/09835-1, 22/09091-8)

GISELA IBÁÑEZ REDÍN; DANIEL C. BRAZ; DÉBORA GONÇALVES; OSVALDO N. OLIVEIRA JR.. Machine Learning to Treat Data for the Design and Improvement of Electrochemical Sensors: Application for a Cancer Biomarker. Journal of the Brazilian Chemical Society, v. 36, n. 8, 2025-03-31. (18/22214-6, 20/09835-1)

PELIN CARDOSO, LUIS EDUARDO; DE CARVALHO, ANDRE C. P. DE LEON F.; QUILES, MARCOS G.. Applying LSTM Recurrent Neural Networks to Predict Revenue. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS-ICCSA 2024, PT II, v. 14814, p. 15-pg., 2024-01-01. (20/09835-1, 22/09285-7)