I am excited for the ultimate goal of my work is to distill fundamental principles towards enriching  our knowledge of how to build scalable, dependable and future-proof systems, worthy of society's trust

Marco Canini is an Associate Professor of Computer Science (CS). He is also the Principal Investigator of the Software-defined Advanced Networked and Distributed Systems (SANDS) Lab and a member of the Extreme Computing Research Center (ECRC).

Education and early career

He holds a Ph.D. in Computer Science from the University of Genoa, in 2009 and an EPLF Post-doctorate in 2012. His competitive academic career merges with industry experiences at Deutsche Telekom Innovation Labs and TU Berlin along with Google and Intel Research.  He joined CEMSE in 2016. 

Why computer science?

Despite five decades of systems research, mastering a science for building systems is still challenging. Canini’s research aims to develop ultimate fault-free technology to improve the reliability of networked systems design, implementation and operation along with performance and energy efficiency. "We are experiencing ever-growing volumes of data, underlying technological trends and paradigm shifts that require us to revisit many of the decisions and designs laid out before. This context makes it for interesting changes."  


At CEMSE, Professor Canini’s research advances in the Software-defined Advanced Networked and Distributed Systems (SANDS) Lab, and at the Extreme Computing Research Center (ECRC). "The scientific environment at CEMSE is the best you can imagine.  Here I found the perfect support, expertise, and inspiration to my projects to directly improve the lives of real users with unique tools and evaluate them on real-world workloads. The impressive facilities have no equals to turn theory into practical solutions."

Research Overview

Professor Canini’s research area is cloud computing, distributed systems and networking. His current interest is in designing better systems support for AI/ML and provide practical implementations deployable in the real-world.

His group develops techniques and algorithms for building and managing key networked systems that are worthy of society’s trust. His core interest is in improving the modern computing environment where distributed systems and computer networks are a pervasive component.

Want to know more about current projects and publications? Visit the SANDS website!

Still curious? Read this recent article on building SANDS at KAUST.

Education Profile

  • ​​​​​​​Postdoctoral Researcher, EPFL, 2009-2012
  • Ph.D., University of Genoa, 2009
  • M.Sc. and B.Sc., University of Genoa, 2005



Publication number: 20170316073

Method and device for predicting faults in an IT system

Patent number: 8943354