André Luiz Pilastri

Formação complementar

Idiomas

Áreas de atuação

Organização de eventos

Participação em eventos

Participação em bancas

Orientou

Produções bibliográficas

• PEÇAS, PAULO ; JOHN, LENIN ; RIBEIRO, INÊS ; BAPTISTA, ANTÓNIO J. ; PINTO, SARA M. ; DIAS, RUI ; HENRIQUES, JUAN ; ESTRELA, MARCO ; PILASTRI, ANDRÉ ; CUNHA, FERNANDO . Holistic Framework to Data-Driven Sustainability Assessment. Sustainability , v. 15, p. 3562, 2023.

• RIBEIRO, RUI ; PILASTRI, ANDRÉ ; MOURA, CARLA ; MORGADO, JOSÉ ; CORTEZ, PAULO . A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics. NEURAL COMPUTING & APPLICATIONS (INTERNET) , v. 35, p. 17375-17395, 2023.

• FERREIRA, LUÍS ; SILVA, LEOPOLDO ; MORAIS, FRANCISCO ; MARTINS, CARLOS MANUEL ; PIRES, PEDRO MIGUEL ; RODRIGUES, HELENA ; CORTEZ, PAULO ; PILASTRI, ANDRÉ . International revenue share fraud prediction on the 5G edge using federated learning. COMPUTING (WIEN. INTERNET) , v. 1, p. 1, 2023.

• DIAS, PAULA ; MATTA, ARTHUR ; PILASTRI, ANDRÉ ; MATOS, LUÍS MIGUEL ; CORTEZ, PAULO . RTSIMU: Real-Time Simulation tool for IMU sensors. Software Impacts , v. 17, p. 100522, 2023.

• RIBEIRO, DIOGO ; MATOS, LUÍS MIGUEL ; MOREIRA, GUILHERME ; PILASTRI, ANDRÉ ; CORTEZ, PAULO . Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection. Computers , v. 11, p. 54, 2022.

• MATOS, LUÍS MIGUEL ; AZEVEDO, JOÃO ; MATTA, ARTHUR ; PILASTRI, ANDRÉ ; CORTEZ, PAULO ; MENDES, RUI . Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing. Software Impacts , v. 13, p. 100359, 2022.

• COELHO, GABRIEL ; MATOS, LUÍS MIGUEL ; PEREIRA, PEDRO JOSÉ ; FERREIRA, ANDRÉ ; PILASTRI, ANDRÉ ; CORTEZ, PAULO . Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio. NEURAL COMPUTING & APPLICATIONS , v. 34, p. 19485-19499, 2022.

• CARVALHO, HUGO SILVA ; PILASTRI, ANDRÉ ; NOVAIS, RUI ; CORTEZ, PAULO . RanCoord - A random geographic coordinates generator for transport and logistics research and development activities. Software Impacts , v. 14, p. 100428, 2022.

• FERREIRA, LUÍS ; PILASTRI, ANDRÉ ; ROMANO, FILIPE ; CORTEZ, PAULO . Using supervised and one-class automated machine learning for predictive maintenance. APPLIED SOFT COMPUTING , v. 131, p. 109820, 2022.

• AZEVEDO, JOÃO ; RIBEIRO, RUI ; MATOS, LUÍS MIGUEL ; SOUSA, RUI ; SILVA, JOÃO PAULO ; PILASTRI, ANDRÉ ; CORTEZ, PAULO . Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach. PROCEDIA COMPUTER SCIENCE , v. 207, p. 2301-2310, 2022.

• PEREIRA, PEDRO JOSÉ ; COELHO, GABRIEL ; RIBEIRO, ALEXANDRINE ; MATOS, LUÍS MIGUEL ; NUNES, EDUARDO C. ; FERREIRA, ANDRÉ ; PILASTRI, ANDRÉ ; CORTEZ, PAULO . Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. PROCEDIA COMPUTER SCIENCE , v. 192, p. 298-307, 2021.

• SILVA, ANTÓNIO JOÃO ; CORTEZ, PAULO ; PEREIRA, CARLOS ; PILASTRI, ANDRÉ . Business analytics in Industry 4.0: A systematic review. Expert Systems (Online) , v. 38, p. e12741, 2021.

• AFONSO, C. ; MATTA, A. ; PILASTRI, ANDRE ; MATOS, L. ; BASTOS, M. ; SANTOS, A. ; CORTEZ, P. . Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case. In: INSTICC. (Org.). Artificial Intelligence Applications and Innovations. AIAI 2023. 1ed.: Springer Nature Switzerlan, 2023, v. , p. 340-351.

• OLIVEIRA, J. N. ; COSTA, L. ; PILASTRI, ANDRE ; MATTA, A. ; DIAS, P. ; CORTEZ, P. . Worker 4.0: A Textile Exoskeleton to Support Apparel Industry. In: Gianni Montagna, Cristina Carvalho. (Org.). Human Factors for Apparel and Textile Engineering. 1ed.São Francisco: AHFE International, 2023, v. 86, p. 20-28.

• SANTOS, LUIS ; FERREIRA, L. ; MATOS, L. ; PILASTRI, ANDRÉ ; CORTEZ, P. . A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting. Intelligent Data Engineering and Automated Learning -- IDEAL 2022. 1ed.: , 2022, v. 13756, p. 465-473.

• CARVALHO, H. S. ; PILASTRI, ANDRE ; MATTA, A. ; MATOS, LUÍS MIGUEL ; CORTEZ, P. . An Intelligent Decision Support System for Road Freight Transport. Intelligent Data Engineering and Automated Learning -- IDEAL 2022. 1ed.: Lecture Notes in Computer Science, 2022, v. 13756, p. 146-156.

• FONTES, G. ; MATOS, LUÍS MIGUEL ; MATTA, A. ; PILASTRI, ANDRE ; CORTEZ, P. . An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets. Artificial Intelligence Applications and Innovations. AIAI 2022. IFIP Advances in Information and Communication Technology. 1ed.: IFIP Advances in Information and Communication Technology book series, 2022, v. 646, p. 85-95.

• MACEDO, L. ; MATOS, LUÍS MIGUEL ; CORTEZ, P. ; PILASTRI, ANDRE . A Machine Learning Approach for Spare Parts Lifetime Estimation. In: INSTICC. (Org.). roceedings of the 14th International Conference on Agents and Artificial Intelligence. 1ed.: SciTePress, 2022, v. 3, p. 765-772.

• SOUSA, A. ; FERREIRA, L. ; PILASTRI, ANDRE ; CORTEZ, P. . Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning. Artificial Intelligence Applications and Innovations. AIAI 2022. 1ed.: Springer, Cham, 2022, v. 647, p. 262-273.

• FERREIRA, L. ; PILASTRI, A. L. ; SOUSA, V. ; ROMANO, F. ; CORTEZ, P. . Prediction of Maintenance Equipment Failures Using Automated Machine Learning. Intelligent Data Engineering and Automated Learning ? IDEAL 2021. LNCed.Manchester: Springer, Cham, 2021, v. 13113, p. 259-267.

• RIBEIRO, D. ; MATOS, L. ; CORTEZ, P. ; MOREIRA, G. ; PILASTRI, A. L. . A Comparison of Anomaly Detection Methods for Industrial Screw Tightening. Computational Science and Its Applications ? ICCSA 2021. LNCed.: Springer, Cham, 2021, v. 12950, p. 485-500.

• PEREIRA, P. J. ; PEREIRA, A. ; CORTEZ, P. ; PILASTRI, ANDRE LUIZ . A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data. Progress in Artificial Intelligence. EPIA 2021. LNCed.: Springer, Cham, 2021, v. 12981, p. 561-572.

• COELHO, G. ; PEREIRA, P. J. ; MATOS, L. ; NUNES, E. C. ; RIBEIRO, A. ; FERREIRA, A. ; CORTEZ, P. ; PILASTRI, ANDRE LUIZ . Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection. Artificial Intelligence Applications and Innovations. AIAI 2021. IFIP Advances in Information and Communication Technology. LNCed.: Springer, Cham, 2021, v. 627, p. 337-348.

• FERREIRA, L. ; PILASTRI, ANDRE LUIZ ; MARTINS, C. ; SANTOS, P. ; CORTEZ, P. . A Scalable and Automated Machine Learning Framework to Support Risk Management. Agents and Artificial Intelligence. ICAART 2020. LNCed.: Springer, Cham, 2021, v. 12613, p. 291-307.

• MATOS, L. ; DOMINGUES, A. ; MOREIRA, G. ; CORTEZ, P. ; PILASTRI, A. L. . A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality. Intelligent Data Engineering and Automated Learning ? IDEAL 2021. LNCed.: Springer, Cham, 2021, v. 13113, p. 3-11.

• SILVA, A. J. ; CORTEZ, P. ; PILASTRI, A. L. . Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples. Artificial Intelligence Applications and Innovations. AIAI 2020. LNCed.: Springer, Cham, 2020, v. 584, p. 232-243.

• RIBEIRO, R. ; PILASTRI, A. L. ; MOURA, C. ; RODRIGUES, F. ; ROCHA, R. ; MORGADO, J. ; CORTEZ, P. . Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features. Artificial Intelligence Applications and Innovations. AIAI 2020. LNCed.: Springer, Cham, 2020, v. 584, p. 244-255.

• Leite, J.M. ; Silva, E.J. ; PILASTRI, A. L. . E-Caderneta: Sistema Acadêmico para Controle da Evasão Escolar - Implantação no Programa Bolsa Família. Anais do Seminário de Produção Acadêmica da Anhanguera, Faculdade Anhanguera.

• Odas, D.J.L. ; Oliveira, D.A. ; Costa, E.C. ; PILASTRI, A. L. . Tecnologia em TV Digital e Linguagem NCL. Anais do Seminário de Produção Acadêmica da Anhanguera, Faculdade Anhanguera.

• FERNANDES, CRISTIANA ; MATOS, LUIS MIGUEL ; FOLGADO, DUARTE ; NUNES, MARIA LUA ; PEREIRA, JOAO RUI ; PILASTRI, ANDRE ; CORTEZ, PAULO . A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. In: 2022 International Joint Conference on Neural Networks (IJCNN), 2022, Padua. 2022 International Joint Conference on Neural Networks (IJCNN), 2022. p. 01.

• FERREIRA, LUÍS ; SILVA, LEOPOLDO ; PINHO, DIANA ; MORAIS, FRANCISCO ; MARTINS, CARLOS MANUEL ; PIRES, PEDRO MIGUEL ; FIDALGO, PEDRO ; RODRIGUES, HELENA ; CORTEZ, PAULO ; PILASTRI, ANDRÉ . A federated machine learning approach to detect international revenue share fraud on the 5G edge. In: SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, 2022, Virtual Event. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. New York: ACM, 2022. p. 1432.

• FERREIRA, LUIS ; PILASTRI, ANDRE ; MARTINS, CARLOS MANUEL ; PIRES, PEDRO MIGUEL ; CORTEZ, PAULO . A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost. In: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, Shenzhen. 2021 International Joint Conference on Neural Networks (IJCNN), 2021. p. 1-8.

• RIBEIRO, RUI ; PILASTRI, ANDRÉ ; MOURA, CARLA ; RODRIGUES, FILIPE ; ROCHA, RITA ; CORTEZ, PAULO . Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology. In: 22nd International Conference on Enterprise Information Systems, 2020, Prague. Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020. v. 1. p. 548-555.

• FERREIRA, LUÍS ; PILASTRI, ANDRÉ ; MARTINS, CARLOS ; SANTOS, PEDRO ; CORTEZ, PAULO . An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management. In: 12th International Conference on Agents and Artificial Intelligence, 2020, Valletta. Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020. v. 2. p. 99-107.

• FERRAREZI, J. C. ; POPOLIN NETO, M. ; DIAS, D. R. C. ; PILASTRI, A. L. ; GUIMARAES, M. P. ; BREGA, J. R. F. . LibViews - An Information Visualization Application for Third-Party Libraries on Software Projects. In: 20th International Conference Information Visualisation, 2016, Lisboa. 20th International Conference Information Visualisation, 2016. v. 1. p. 136-140.

• PILASTRI, A. L. ; TAVARES, JOÃO MANUEL R. S. . Reconstruction Algorithms in Compressive Sensing: An Overview. In: 11th Edition of the Doctoral Symposium in Informatics Engineering − DSIE|16, 2016, Porto. Proceedings of the Doctoral Symposium in Informatics and Telecommunications Engineering. Porto: FEUP Edições, 2016. v. 1. p. 127-137.

• FERNANDES, SILAS EVANDRO NACHIF ; PILASTRI, ANDRE LUIZ ; PEREIRA, LUIS AUGUSTO MARTINS ; PIRES, RAFAEL GONCALVES ; PAPA, JOAO PAULO . Learning Kernels for Support Vector Machines with Polynomial Powers of Sigmoid. In: 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2014, Brazil. 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014. v. 1. p. 259-265.

• PILASTRI, A. L. ; Vielmas, D.Z. ; Marar, J.F. . Análise de Multirresolução baseada em Polinômio Potência de Sigmóide - Wavelet. In: SIBGRAPI - XXVI Conference on Graphics, Patterns and Images, 2013, Arequipa. SIBGRAPI - XXVI Conference on Graphics, Patterns and Images. Arequipa, Peru, 2013. v. 1.

• GAIOFATO, F. A. K. ; CASTRO, A. L. ; PILASTRI, A. L. . Integração entre Criptografia de chaves Assimétricas e Esteganografia em Imagens. In: IV - Escola Regional de Informática de Mato Grosso (ERI), 2013, Alto Araguaia. Imagem, Processamento e Análise, 2013. p. www.ufmt.br/eri.

• PILASTRI, A. L. ; BREGA, J. R. F. . Chatterbot com Interatividade ao Avatar Encapsulado no Ambiente Virtual Second Life usando a base de conhecimento em AIML. In: Anais do WRVA 2009, 2009, 2009, SANTOS. Chatterbot com Interatividade ao Avatar Encapsulado no Ambiente Virtual Second Life usando a base de conhecimento em AIML, 2009.

• PEREIRA, PEDRO JOSÉ ; GONÇALVES, CARLOS ; NUNES, LARA LOPES ; CORTEZ, PAULO ; PILASTRI, ANDRÉ . AI4CITY - An Automated Machine Learning Platform for Smart Cities. In: SAC '23: 38th ACM/SIGAPP Symposium on Applied Computing, 2023, Tallinn Estonia. Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing. New York: ACM, 2023. p. 886-889.

• PILASTRI, A. L. ; DELMORAL, J. ; NOGUEIRA, D. F. ; JODAS, D. S. . Data mining and social network analysis for personalized paper retriever: A Case study in ArXiv. In: 23th PORTUGUESE CONFERENCE ON PATTERN RECOGNITION, 2017, Lisbon. RECPAD 2017 - THE 23th PORTUGUESE CONFERENCE ON PATTERN RECOGNITION, 2017.

• Nunes, E. ; Franco, Gisele ; PILASTRI, A. L. ; GULO, C. A. S. J. . Ambientes de Simulação Robótica como suporte para o Ensino de Programação. In: 5ª edição do Congresso de Computação do Sul de Mato Grosso, 2013, Rondonópolis - MT. O Processo de Desenvolvimento de Software: Avanços e Desafios, 2013.

• Nunes, E. ; ARAUJO, A. F. ; PILASTRI, A. L. ; GULO, C. A. S. J. . Ensino de Programação utilizando Robótica Educacional. In: Congresso de Computação do Sul de Mato Grosso (V COMPSULMT), 2013, Rondonópolis - MT. O Processo de Desenvolvimento de Software: Avanços e Desafios, 2013.

• MACHADO, F. P. ; GULO, C. A. S. J. ; PILASTRI, A. L. ; PETRIKICZ, D. H. . Análise e classificação de imagens de câncer de pele utilizando Máquina de Vetor de Suporte. In: III WORKSHOP DE COMPUTAÇÃO - PESQUISA E ATUAÇÃO, 2013, Alto Araguaia. III WORKSHOP DE COMPUTAÇÃO - PESQUISA E ATUAÇÃO, 2013.

• PEREIRA SOBRINHO, A. A. ; GULO, C. A. S. J. ; PILASTRI, A. L. . Estudo e análise de métricas objetivas para a avaliação da qualidade de imagens na medicina. In: III WORKSHOP DE COMPUTAÇÃO - PESQUISA E ATUAÇÃO, 2013, Alto Araguaia. III WORKSHOP DE COMPUTAÇÃO - PESQUISA E ATUAÇÃO, 2013.

• SANTOS, A. ; GULO, C. A. S. J. ; PILASTRI, A. L. . Investigação de classificadores de padrões utilizando floresta de caminhos ótimos. In: III WORKSHOP DE COMPUTAÇÃO - PESQUISA E ATUAÇÃO, 2013, Alto Araguaia. III WORKSHOP DE COMPUTAÇÃO - PESQUISA E ATUAÇÃO, 2013.

• MACHADO, F. P. ; PEREIRA SOBRINHO, A. A. ; PETRIKICZ, D. H. ; GULO, C. A. S. J. ; PILASTRI, A. L. . Utilização de Ferramenta Moodle como instrumento para a promoção de nivelamento do conhecimento em tecnologia da informação aos discentes ingressantes da Universidade do Estado de Mato Grosso. In: http://www.unemat.br/eventos/jornada2013/?content=regulamento, 2013, Cáceres. II Encontro de Ensino a Distancia e Tecnologia da Informação - WEATI, 2013.

• Franco, Gisele ; Nunes, E. ; PILASTRI, A. L. ; ARAUJO, A. F. ; GULO, C. A. S. J. . Ambientes Simuladores em Robótica. In: III WORKSHOP DE COMPUTAÇÃO - PESQUISA E ATUAÇÃO, 2013, Alto Araguaia. III WORKSHOP DE COMPUTAÇÃO - PESQUISA E ATUAÇÃO, 2013.

• COSTA, K. A. P. ; PILASTRI, A. L. . Desenvolvimento de um Chatterbot com Interatividade ao Avatar Encapsulado no Ambiente Virtual Second Life usando a base de conhecimento em AIML como Ferramenta para Auxílio em EAD nas Universidades. In: III SIMPOSIO INTERNACIONAL DE LINGUAGENS EDUCATIVAS, 2010, Bauru. III SIMPOSIO INTERNACIONAL DE LINGUAGENS EDUCATIVAS, 2010.

• FERRAREZI, J. C. ; POPOLIN NETO, M. ; DIAS, D. R. C. ; PILASTRI, A. L. ; GUIMARAES, M. P. ; BREGA, J. R. F. . LibViews - An Information Visualization Application for Third-Party Libraries on Software Projects. 2016. (Apresentação de Trabalho/Conferência ou palestra).

• PILASTRI, A. L. ; TAVARES, JOÃO MANUEL R. S. . Reconstruction Algorithms in Compressive Sensing: An Overview. 2016. (Apresentação de Trabalho/Conferência ou palestra).

• GAIOFATO, F. A. K. ; CASTRO, A. L. ; PILASTRI, A. L. . Integração entre Criptografia de chaves Assimétricas e Esteganografia em Imagens.. 2013. (Apresentação de Trabalho/Conferência ou palestra).

• PILASTRI, A. L. . O que é Processamento de Imagens?. 2013. (Apresentação de Trabalho/Conferência ou palestra).

• PILASTRI, A. L. . Ciência da Computação. 2010. (Apresentação de Trabalho/Conferência ou palestra).

Outras produções

Projetos de pesquisa

• 2007 - 2007

  Contagem classificação e Identificação de quebra dos cromossomos na genética humana, Descrição: O projeto consistiu no estudo de uma ferramenta para a contagem dos cromossos exixtentes em uma célula, sua classificação e possíveis quebras cromossônicas utilizando técnicas em Processamento de Imagens e Sinais.. , Situação: Concluído; Natureza: Pesquisa. , Integrantes: Andre Luiz Pilastri - Integrante / Glauber Oliveira - Integrante / Rafael Gonçalves Pires - Integrante / Ronaldo Martins da Costa - Coordenador.

Projetos de desenvolvimento

• 2020 - 2021

  Factory of the Future: Smart Manufacturing, Descrição: The Factory of Future Program, it is intended to answer the challenges of the company's competitiveness in attracting the main projects for the industrialization of new products of the BOSCH group, by increasing the levels of productivity, efficiency, flexibility, and quality of the factory. For this, an integrated innovation strategy is assumed that involves the investigation and development of new materials and devices for quality control, industrialization, manufacturing and factory management; research and development of new quality control techniques, systems and tools; research and development of new manufacturing processes and techniques; and research and development of communication technologies and information and decision support systems for the management of plant operations.. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Mestrado acadêmico: (2) Doutorado: (2) . , Integrantes: Andre Luiz Pilastri - Integrante / Paulo Cortez - Integrante / Guilherme Moreira - Coordenador / Maribel Santos - Integrante / Paula Monteiro - Integrante., Número de produções C, T & A: 4

• 2020 - 2021

  EASY RIDE PROJECT: Intelligent Mobility, Descrição: Goal: The main objective of the project Easy Ride is to generate advanced knowledge and technology in Portugal in the area of intelligent sensors, human-machine interfaces, and V2X communication infrastructures, which access the basis of innovative solutions worldwide for the future of the smart team. On the one hand, the visa design or development of the smart cockpit, the preparation of the market for automatic driving and car-sharing policies and, on the other hand, make the vision of connected vehicles concrete, integrating two-wheeled vehicles (2 wheels) in the autonomous driving system, moving once again towards zero vision.. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Mestrado acadêmico: (2) . , Integrantes: Andre Luiz Pilastri - Integrante / André Ferreira - Coordenador / CORTEZ, PAULO - Integrante / Maribel Santos - Integrante.

• 2020 - Atual

  Cognitive CMMS ? Cognitive Computerized Maintenance Management System, Descrição: Goal: Main Objective: Reinforce research, technological development, and innovation. Funding Reference: POCI-01-0247-FEDER-033574 Apoio Financeiro da União Europeia: FEDER - 1.160.465,97? (um milhão, cento e sessenta mil, quatrocentos e sessenta e cinco euros e noventa e sete cêntimos) Development of a solution that acts transversally in maintenance management (including maintenance actions), that is, a platform that allows an integrated view (BIM 6D) on the management of building maintenance and its filling, equipped with intelligent detection and prediction (Analytical, Stochastic Models, Neural Networks and Machine Learning) of failures or anomalies that will allow the optimization of resources and maintenance operations (via modern optimization techniques), in a context of predictive maintenance.. , Situação: Em andamento; Natureza: Desenvolvimento. , Integrantes: Andre Luiz Pilastri - Integrante / Filipe Romano - Coordenador / Paulo Cortez - Integrante / Maribel Santos - Integrante., Número de produções C, T & A: 1

• 2018 - 2020

  TexBoost Less Commodities more Specialities, Descrição: Goal: The TexBoost - less Commodities more Specialties mobilizing project is a structuring project of the Textile Cluster: Technology and Fashion, which aims to include a set of R&D initiatives with a strong collective character and high inductor and demonstrator effect, with the central involvement of companies of the textile and clothing sector, but also of other complementary sectors of the economy. TexBoost represents a total investment of 9,229,676.60 euros, corresponding to a financing rate of 68.96% by the Compete 2020 program, and is organized into 6 PPS - Products, Processes and Services (one of which is management, dissemination, and exploitation of results), built on 50 activities, resulting in 17 new innovative solutions in different areas. Started on July 1st, 2017 and scheduled to end on December 30rd, 2020, the project has the following main activities: to develop a new generation of textile solutions, where their degree of innovation is radical compared to existing products, including the generation of new scientific knowledge; to develop highly innovative products and processes using emerging and cutting-edge technologies that will allow new experiences for consumers and companies participating in each PPS; facilitate access by the companies involved to new markets / business areas or reinforcement of current markets/business areas, both nationally and internationally. Funding Reference: POCI-01-0247-FEDER-024523 Date: 1 January 2018 - 31 December 2020. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Doutorado: (1) . , Integrantes: Andre Luiz Pilastri - Integrante / Rui Ribeiro - Integrante / Carla Moura - Coordenador / CORTEZ, PAULO - Integrante., Número de produções C, T & A: 2

• 2020 - 2021

  Factory of the Future: Smart Manufacturing​, Descrição: The Factory of Future Program, it is intended to answer the challenges of the company's competitiveness in attracting the main projects for the industrialization of new products of the BOSCH group, by increasing the levels of productivity, efficiency, flexibility, and quality of the factory. For this, an integrated innovation strategy is assumed that involves the investigation and development of new materials and devices for quality control, industrialization, manufacturing and factory management; research and development of new quality control techniques, systems and tools; research and development of new manufacturing processes and techniques; and research and development of communication technologies and information and decision support systems for the management of plant operations.. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Mestrado acadêmico: (2) Doutorado: (2) . , Integrantes: Andre Luiz Pilastri - Integrante / Paulo Cortez - Integrante / Guilherme Moreira - Coordenador / Maribel Santos - Integrante / Paula Monteiro - Integrante., Número de produções C, T & A: 4

• 2020 - 2021

  EASY RIDE PROJECT: Intelligent Mobility, Descrição: Goal: The main objective of the project Easy Ride is to generate advanced knowledge and technology in Portugal in the area of ​​intelligent sensors, human-machine interfaces, and V2X communication infrastructures, which access the basis of innovative solutions worldwide for the future of the smart team. On the one hand, the visa design or development of the smart cockpit, the preparation of the market for automatic driving and car-sharing policies and, on the other hand, make the vision of connected vehicles concrete, integrating two-wheeled vehicles (2 wheels) in the autonomous driving system, moving once again towards zero vision.. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Mestrado acadêmico: (2) . , Integrantes: Andre Luiz Pilastri - Integrante / André Ferreira - Coordenador / CORTEZ, PAULO - Integrante / Maribel Santos - Integrante.

• 2020 - Atual

  Cognitive CMMS ? Cognitive Computerized Maintenance Management System, Descrição: Goal: Main Objective: Reinforce research, technological development, and innovation. Funding Reference: POCI-01-0247-FEDER-033574 Apoio Financeiro da União Europeia: FEDER - 1.160.465,97? (um milhão, cento e sessenta mil, quatrocentos e sessenta e cinco euros e noventa e sete cêntimos) Development of a solution that acts transversally in maintenance management (including maintenance actions), that is, a platform that allows an integrated view (BIM 6D) on the management of building maintenance and its filling, equipped with intelligent detection and prediction (Analytical, Stochastic Models, Neural Networks and Machine Learning) of failures or anomalies that will allow the optimization of resources and maintenance operations (via modern optimization techniques), in a context of predictive maintenance.. , Situação: Em andamento; Natureza: Desenvolvimento. , Integrantes: Andre Luiz Pilastri - Integrante / Filipe Romano - Coordenador / Paulo Cortez - Integrante / Maribel Santos - Integrante., Número de produções C, T & A: 1

• 2018 - 2020

  TexBoost Less Commodities more Specialities, Descrição: Goal: The TexBoost - less Commodities more Specialties mobilizing project is a structuring project of the Textile Cluster: Technology and Fashion, which aims to include a set of R&D initiatives with a strong collective character and high inductor and demonstrator effect, with the central involvement of companies of the textile and clothing sector, but also of other complementary sectors of the economy. TexBoost represents a total investment of 9,229,676.60 euros, corresponding to a financing rate of 68.96% by the Compete 2020 program, and is organized into 6 PPS - Products, Processes and Services (one of which is management, dissemination, and exploitation of results), built on 50 activities, resulting in 17 new innovative solutions in different areas. Started on July 1st, 2017 and scheduled to end on December 30rd, 2020, the project has the following main activities: → to develop a new generation of textile solutions, where their degree of innovation is radical compared to existing products, including the generation of new scientific knowledge; → to develop highly innovative products and processes using emerging and cutting-edge technologies that will allow new experiences for consumers and companies participating in each PPS; → facilitate access by the companies involved to new markets / business areas or reinforcement of current markets/business areas, both nationally and internationally. Funding Reference: POCI-01-0247-FEDER-024523 Date: 1 January 2018 - 31 December 2020. , Situação: Concluído; Natureza: Desenvolvimento. , Alunos envolvidos: Doutorado: (1) . , Integrantes: Andre Luiz Pilastri - Integrante / Rui Ribeiro - Integrante / Carla Moura - Coordenador / CORTEZ, PAULO - Integrante., Número de produções C, T & A: 2

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