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Our goals Cutting-edge advances in communication networks and digital application services Learn More > Research Strands Subjects designed to successfully impact world-class research Learn More > Scientific and Technological Advancements Innovation for industry and society with a vision on the horizon for the year 2030 Learn More >

The SMART NEtworks and ServiceS for 2030 (SMARTNESS) FAPESP Engineering Research Center (ERC) aims to advance cutting-edge research in computer networks and digital application services focused on strategic areas where scientific and technological impacts can be achieved by the year 2030, in collaboration with research communities of cloud and networking.

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.

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Latest News

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FEEC Students Visit SMARTNESS Lab and Explore Future Technologies

Undergraduate students from FEEC/UNICAMP visited the SMARTNESS lab on May 9 for a guided tour of research activities. The visit included a robotics presentation by PhD student Felipe Mota and demonstrations of drone systems and immersive media by PhD students Mauricio Rodriguez and Alan Teixeira da Silva. The activity sparked great interest and strengthened the connection between education and innovation.

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Prof. Christian Rothenberg Presents SMARTNESS Research on AI and Networking at LACNIC 43

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.

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Chrysa Papagianni Discusses AI-Native Architectures for 6G at FEEC/UNICAMP Seminar

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.

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Our results

Latest Publications

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Md Tariqul Islam and Christian Esteve Rothenberg, “QoE Evaluation for Emerging Media Applications: Network-Level Analysis and Traffic Modeling”, in IEEE Conference on Network Function Virtualization and Software Defined Networks (IEEE NFV-SDN), 2024.

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Daniel De Lima, Francisco Vogt, Alan Teixeira da Silva, Fabricio Rodriguez Cesen and Christian Esteve Rothenberg, “RESISTING: A New Fast-Reroute Mechanism with Packet Distribution on P4-Programmable Switches”, in IEEE Conference on Network Function Virtualization and Software Defined Networks (IEEE NFV-SDN), 2024.

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Alireza Shirmarz, Fábio Luciano Verdi, Suneet Kumar Singh and Christian Esteve Rothenberg, “POSMAC: Powering Up In-Network AR/CG Traffic Classification with Online Learning”, in IEEE Conference on Network Function Virtualization and Software Defined Networks (IEEE NFV-SDN), 2024.

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