With the deployment of 5G and the 6G vision being developed, the main challenges for SMARTNESS are how to design and operate cloud computing infrastructures and networks with adequate capabilities to leverage the next generation of Internet services and applications. The scope of end-to-end services at the Internet scale is exceptionally broad and requires contributions across multiple disciplines along with large investments in capital and human resources.
SMARTNESS aims to explore well-planned opportunities through an appropriate methodology based on the confluence of Research Strands (RS) designed to successfully impact world-class research and innovation through Scientific and Technological Advancements (STA) to address challenging use cases in Internet scenarios for industry and society with a vision on the horizon for the year 2030.
Prof. Christian Rothenberg, from FEEC/UNICAMP and Principal Investigator at SMARTNESS, participated in the closing plenary of LACNIC 43 in São Paulo. His talk addressed using artificial intelligence and machine learning in network management, highlighting real-world cases such as YouTube QoE prediction and soft-failure detection in optical networks using network digital twins.
On May 8, Prof. Chrysa Papagianni (University of Amsterdam) delivered a talk in the IA382 – Seminar in Computer Engineering at FEEC/UNICAMP. She presented an AI-native 6G system architecture, highlighting distributed intelligence, real-time decision-making, and dynamic resource management through the DESIRE6G project, offering a vision for the future of mobile networks.
In Episode 4 of the Futurecom Connect podcast, SMARTNESS PhD student Marina Martinelli shares her insights on the future of 5.5G and 6G networks. She highlights the importance of AI-driven data center modernization, edge and fog computing, and sustainable infrastructure to meet the demands of a hyperconnected world. The episode also explores Brazil’s role in global telecom innovation.
Felipe Aparecido dos Santos Novais. Advisor: Prof. Fábio Luciano Verdi, “Aludel: Transparent Crypto-Offloading for Enhanced Legacy Application Security”, Masters thesis presented to the Postgraduate Program in Computer Science (PPGCC-So) at the Federal University of São Carlos (UFSCAR) for obtaining the Master’s degree in Computer Science. Research area: Software Engineering and Computing Systems, 2024.
