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Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação (FEEC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Ariel é um candidato a doutorado na FEEC - UNICAMP com grande interesse em redes programáveis, otimização de algoritmos e, mais recentemente, Machine Learning aplicado no contexto de redes de computadores. Ele possui Mestrado em Engenharia de Software na UNIPAMPA e possui graduação em Ciência da Computação pela mesma. Ao longo de sua jornada, Ariel acumulou experiência como desenvolvedor de software na área de redes de computadores e como pesquisador em projetos relacionados a redes programáveis e otimização de algoritmos, com experiência prática no projeto OpenRAN Brasil como bolsista da RNP. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
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The surge in network demand fueled by real-time, data-intensive applications like healthcare, autonomous vehicles, and cloud gaming has intensified the need for enhanced network performance. However, production networks often suffer from issues like latency and congestion, impacting user experience and service quality. To effectively develop new algorithms and solutions that cater to the …
The analysis of network data is critical for understanding network behavior, identifying anomalies (e.g., traffic spikes, packet loss), and assessing user experience on network services. These services are directly impacted by the underlying network infrastructure, which must manage user requests under constraints such as latency, congestion, and dynamic traffic demands. The availability …
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Ongoing scholarships abroad |
| 3 / 3 | All Scholarships |
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