CV Lattes
ResearcherID
ORCID
Google Scholar Citations
Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduation at Ciência da Computação from Universidade Federal do Pará (1998), graduation at Tecnólogo Em Processamento de Dados from Universidade Federal do Pará (1989), master's at Computer Science from Universidade Estadual de Campinas (2001) and doctorate at Ciencia da Computacao from Lancaster University (2006). He is currently full professor at Universidade de São Paulo. Has experience in Computer Science, acting on the following subjects: redes de computadores, comércio eletrônico, xml, protocolo de negociação and grasshopper. (Source: Lattes Curriculum)
| Articles published in Pesquisa FAPESP Magazine about the researcher: |
| Fumigación con drones |
| Una alarma contra inundaciones |
| Cataloged emotions |
| Un catálogo de emociones |
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| News published in Agência FAPESP Newsletter about the researcher |
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The SMARTNESS Engineering Research Center (ERC) targets developing cutting-edge advances in communication networks and digital application services scoped in strategic areas where significant scientific and technological impacts can be achieved towards 2030, in collaboration with the cloud and networking research communities. As 5G releases roll-out and the vision on 6G is being developed…
The focus of this proposal is the transfer of mathematical knowledge to other areas of science, technology and industry, through a structured research center specially tailored for this purpose. All mathematical knowledge is ultimately applicable, if not directly, through other areas of knowledge. In some areas the application of mathematics is almost immediate. However, the practical imp…
The MonDesa project, dedicated to Disaster Monitoring, will be divided into two phases: "Mon", focusing on the theoretical survey and design of technologies, and "Desa", addressing practical applications or case studies. This project for visiting researchers will concentrate on the first phase, with a duration of 12 months. The main objective is to conduct a detailed study of telemetry so…
This project aims to explore the multimodal approach for detecting and predicting floods. By multimodal, we mean that different sensing approaches will be explored to monitor urban rivers. The first sensor to be considered is an infrared sensor to measure the water level of the water stream. The second sensor are video cameras that capture images of the river in real-time, which are analy…
This project aims to investigate ways to increase privacy in blockchain-based systems. Systems using blockchain implement integrity, auditability and fault tolerance. This is because blockchain incorporates all three properties through hash functions and distributed systems (and no longer fully centralized as in the pure client/server). However, blockchain privacy is a requirement that ne…
(Only some records are available in English at this moment)
Floods affect many cities across the country and cause a great variety of material and human damage. For this reason, researchers have been working on monitoring and forecasting floods in order to reduce this damage. Various approaches to measuring water levels have been used in this context, most of which are techniques applied to known characteristics of the watercourse in order to some…
The rise of 5G and emerging 6G networks provides faster speeds and enhanced connectivity but also poses data security and regulatory challenges. There are increasing concerns regarding data privacy, trust, and software security. As data production escalates in the 5G and 6G era, machine learning and edge computing integration will reshape data management and software security against mali…
The current digital identity systems are centralized and fragmented. In contrast, blockchain technology enables more secure and transparent management of digital identities by providing unified, tamper-proof, and decentralized infrastructure. This new paradigm in digital identity management is prominent as it also places the user in a central position of control over his own personal data…
(Only some records are available in English at this moment)
The development of Beyond 5G (B5G) and 6G networks will present significant challenges in ensuring data privacy and maintaining a high Quality of Experience (QoE) for users. While essential for decision-making, centralized machine learning models pose security risks due to the need to process sensitive data on central servers. Additionally, these models lack transparency, making it diffic…
In recent years, the computational cost of training and deploying artificial intelligence models has increasedsignificantly, making these models impractical for use on low-cost platforms such as mobile devices and em-bedded systems. This challenge has prompted researchers to explore ways to optimize models, reducing boththeir energy consumption and computational demands. As a result, seve…
A Central Bank Digital Currency (CBDC) represents a digital version of a nation's official currency, utilizing Decentralized Ledger Technology (DLT). The growing interest in CBDCs has raised concerns about how to validate user identities to meet regulatory requirements while safeguarding user privacy within the CBDC Network. This research explores the concept of Self-Sovereign Identities …
The growth of the population in need of health care and with reduced mobility in many countries shows the demand to develop assistive technologies to cater for this public, especially when they require home treatment after being discharged from hospital. In this period of their lives, these people may arouse excessive negative feelings and have little social interaction, as well as sympto…
(Only some records are available in English at this moment)