Sebastiano Miano

Sebastiano Miano

PostDoc Researcher @ QMUL, Ph.D. in Computer Engineering

Queen Mary University London


I am a PostDoc researcher at the School of Electronic Engineering and Computer Science of Queen Mary Univerisity of London (QMUL).

I obtained both my M.S. and Ph.D degree (cum laude) in Computer Engineering at Politecnico di Torino. During the interim between the end of my M.S. and the start of the Ph.D., I have been Visiting Researcher at the EIT Digital Silicon Valley Hub in San Francisco and network consultant for several companies and startup in Italy and USA. Moreover, I have been visiting Ph.D. student at University of Cambridge, UK for 1 year before the end of the Ph.D.

I am particularly interested in programmable data planes and high-speed network function virtualizations with a focus on eBPF and XDP. I am exploring the possibility to build a new model of flexible, efficient and dynamically re-configurable VNFs that are more optimized for the new container-based cloud environments (e.g., k8s).


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


  • 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


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.


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.




A compiler framework for automatic software data plane optimizations

BPF Iptables

An eBPF-based clone of the Linux iptables


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