CV Lattes
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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Holds a PhD in Electronic Engineering from the University of Kent, England. He is a Full Professor and current Director of the Institute of Mathematical and Computer Sciences (ICMC) at the University of São Paulo (USP). He serves as the Coordinator of USPs Office for Digital Transformation and Artificial Intelligence, Vice Coordinator of USPs Center for Artificial Intelligence and Machine Learning (CIAAM), and is a Full Member of the Brazilian Academy of Sciences (ABC). He served two terms as Vice President of the Brazilian Computing Society (SBC). Since 1987, his research has focused on Artificial Intelligence, specifically Machine Learning and Data Science, with applications across various fields.He coordinates the IARA Applied Research Center in Artificial Intelligence (CPA-IA) for Smart and Sustainable Cities, one of the 12 Brazilian AI Research Centers supported by the Ministry of Science and Technology, FAPESP, and CGI.br. Additionally, he coordinates the National Institute of Science and Technology (INCT) for AI for Social Good and the Embrapii Unit in Data Science, Computing, and Applied Mathematics at ICMC-USP.A three-time Jabuti Prize finalist (winning in 2012 for the book Artificial Intelligence: A Machine Learning Approach), he has supervised three CAPES award-winning doctoral theses (two for Best Thesis in Computer Science and one Honorable Mention) and four doctoral theses that were finalists in the SBC Thesis and Dissertation Competition (winning two for Best Thesis). In 2025, one of his supervised theses received the awards for Best Doctoral Thesis in Exact and Earth Sciences defended at USP, as well as the Unicamp - Vladimir Herzog Institute 2025 Academic Recognition in Human Rights in the category of Doctoral Thesis in Exact Sciences, Engineering, and Technology.He served twice as a member of the CNPq Advisory Committee for Computer Science. He participates in several international committees, including the UK Expert Advisory Panel for the AI Safety Report, supported by the UN and OECD. He is the current coordinator of the Working Group on Machine Learning and Data Mining of the International Federation for Information Processing (IFIP). (Source: Lattes Curriculum)
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The Electric Vehicle Routing Problem has attracted significant attention in recent years due to the growing popularity of electric vehicles and the need to reduce greenhouse gas emissions. The central objective is to find optimal routes for electric vehicles, minimizing energy consumption while simultaneously meeting constraints such as battery capacity, charging station availability, and…
This project defines the application of the Institutional Technical Reserve for the Maintenance and Development of Computational and Support Infrastructure for the Research Groups at ICMC-USP. The project includes investments in the Cloud-ICMC (cloud and data center infrastructure), with emphasis on the replacement of uninterruptible power supplies (UPS), stationary batteries, and power c…
(Only some records are available in English at this moment)
This project defines the application of the Technical Reserve to maintain and strengthenICMC's Institutional and Computing infrastructure. The project includes resources formaintaining the cloud infrastructure and its datacenter, named as Cloud-ICMC, replacing theacoustic system of the Fernão Stella de Rodrigues Germano Auditorium and updating theair conditioning systems in the research e…
This project defines the Application Plan of the Portion of the Technical Reserve for Institucional Infrastructure Costs for Research - ICMC. The project includes resources for the maintenance of the cloud infrastructure and its datacenter, known as Cloud-ICMC. Cloud-ICMC has been jointly, since 2013, the general computational demands of all 33 ICMC research groups and this project will c…
This project is intended to oppiy the portion of the Technical Reserve for maintenance of the ICMC computing infrastructure. The project includes resources for the maintenance of the lnstitute's own cloud infrastructure, called Cloud-ICMC, and for improving the coverage of the wireless access network, mainly to attend advanced communication technologies. Since 2013, Cloud-ICMC has shared …
(Only some records are available in English at this moment)
This postdoctoral project aims to design and evaluate an AI-driven software tool to predict and track infectious disease trends, supporting public health decision-making. The tool will integrate machine learning and deep learning models with software engineering principles to ensure accuracy, scalability, and reliability. Models will be trained and tested on historical and real-time datas…
Electric mobility represents one of the most significant challenges and opportunities for technological innovation and sustainability in smart cities. In this context, this project proposes the development of an intelligent and adaptive platform for electric mobility management based on Artificial Intelligence (AI) and Continuous Learning. The platform is an interoperability application t…
Precision medicine is an approach that aims to adapt disease treatment according to the specific characteristics of each individual. To this end, it integrates information from the patient's clinical history, such as symptoms, test results, family history, and lifestyle, with the analysis of the patient's genetic profile. Due to the diversity and heterogeneity of data, different methods c…
(Only some records are available in English at this moment)
Neglected tropical diseases (NTDs) are a diverse group of conditions caused by a variety of pathogens (including viruses, bacteria, parasites, fungi, and toxins) and associated with devastating health, social, and economic consequences. NTDs are abundant among impoverished communities. The lack of healthcare professionals who reach out to communities contributes significantly to delayed N…
This project explores the application of Machine Learning (ML) techniques for the diagnosis of dementia and Alzheimer's Disease (AD), aiming to establish a baseline predictive model. The project will utilize a comprehensive database with an extensive set of thematic variables, including Socioeconomic Data, Medical Diagnoses, Regularly Used Medications, Lifestyle Habits, Cognitive and Func…
This project aims to apply transformer-based architectures to analyze the movements of children withAutism Spectrum Disorder (ASD). The goal is to contribute to the existing literature by testing thesemodels and, with the aid of Explainable AI (XAI) algorithms, understanding the patterns learned bythe models and identifying potential new behavioral biomarkers.Artificial Intelligence (AI) …
(Only some records are available in English at this moment)
With the advancement of modern techniques such as next-generation sequencing, the increasing amount of biological data available has posed challenges in extracting relevant molecular-level knowledge. One of the most significant challenges is predicting interactions between biological sequences such as DNA, RNA, and proteins that play crucial roles in complex processes like gene regulation…
The advancement of Computer Vision techniques, especially with Convolutional Neural Networks (CNNs), has enabled faster and more accurate medical diagnoses. However, the lack of interpretability of these models limits their clinical adoption due to a lack of transparency - particularly critical in the diagnosis of head and neck cancer. This project proposes the development and application…
A holistic perspective is vital in the search for robust Artificial Intelligence (AI) solutions. In the context of Smart Cities, AI implementations must adapt to variations in urban scenarios. Real consumption data from the city of São Paulo, obtained through a partnership with Sabesp, reveals discrepancies between the company's consumption estimation model and actual data. Exploratory an…
(Only some records are available in English at this moment)