Sebastiano Miano

Sebastiano Miano

Senior Software Architect & Researcher @ NVIDIA

NVIDIA

Biography

I am a Senior Software Architect & Researcher at NVIDIA, where I develop high-performance networking systems that accelerate HPC and AI at scale. My expertise lies in high-performance programmable data planes, end-host network stacks, and large-scale distributed infrastructure.

I hold a Ph.D. in Computer and Control Engineering from the Polytechnic University of Turin, during which I was also a visiting PhD student at the University of Cambridge. Before joining NVIDIA, I served as CTO at Path Network and as an Assistant Professor at Politecnico di Milano, and I also worked as a Postdoctoral Researcher at Queen Mary University of London. During my career, my work has spanned both networks and systems, focusing on topics such as global DDoS mitigation, SmartNIC/FPGA offload, and adaptive data-plane architectures optimized for workload demands.

Outside of work, I enjoy playing volleyball, tennis, and padel, and I am passionate about music, particularly playing the trumpet.

Interests

  • Data Center Network
  • eBPF/XDP Linux subsystem
  • SDN, NFV
  • Cloud Services
  • Programmable Networks
  • Compilers

Education

  • PhD in Computer Engineering, 2020

    Politecnico di Torino

  • M.S. in Computer Engineering, 2015

    Politecnico di Torino

  • BSc in Computer Engineering, 2013

    University of Catania

Accomplish­ments

Finalist of Facebook Networking Systems Research RFP 2021

Our research on Re-architecting the QUIC stack for performance has reached the final stage of the Facebook Networking Systems Research RFP 2021.

Best Dissertation Award 2020

My Ph.D. Thesis Rethinking Software Network Data Planes in the Era of Microservices has been selected as one of the best Ph.D. dissertations of 2020.

Winner of Facebook Networking Systems Research RFP 2020

Our research on Automatic optimization of software network data planes has been awarded with the Facebook Networking Systems Research RFP 2020, together with Gianni Antichi and Gabor Retvari.

SIGCOMM SRC Winner

Placed at the 1st place of the Student Research Competition (SRC) on the Graduate divisior for the poster: Automatic Optimization of Software Data Planes.

Best SIGCOMM CCR Paper 2020

Our paper Securing Linux with a Faster and Scalable Iptables has been selected as the best technical CCR paper of the 2020.

Projects

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Morpheus

A compiler framework for automatic software data plane optimizations

BPF Iptables

An eBPF-based clone of the Linux iptables

Polycube

A eBPF/XDP-based software framework for fast network services running in the Linux kernel