Welcome to Mario's home page

Mario is an assistant professor at the Department of Computer Science and Engineering of Aalto University (formerly known as Helsinki University of Technology TKK) in Finland. He is also an adjunct faculty at the Department of Computer Science and Engineering of the University of Texas at Arlington in the US. He is member of the Distributed and Pervasive Systems research group, as well as of the Center for Research in Wireless Mobility and Networking (CReWMaN). His research interests include wireless sensor networks, pervasive computing, mobile networking, and performance evaluation.

Read more about Mario's bio, publications, professional activities, and contact information.


  • Current research topics include: secure and usable pervasive services; wireless sensor and nanocommunication networks; bio-inspired networking; and energy characterization of mobile cloud computing. Read more.
  • Currently active projects include SMArt Screens via Handheld MEdiation (SMASH-ME), partially funded by Amazon under an AWS in Education research grant. Read more.
  • See also an overview of publications.

Teaching and advising

  • New course Methods and Tools for Network Systems (CSE-E4430) in Fall 2014.
  • Master theses available on the following topics: virtual networking for mobile cloud computing; bio-inspired wireless networking; efficient device discovery in sensor networks and the Internet of things; energy characterization of mobile code offloading; nanocommunication networks; pervasive displays; and robustness of distributed communication networks. Read more.

Recent publications

  • K. A. Imon, A. Khan, M. Di Francesco, S. K. Das, Energy-Efficient Randomized Switching for Maximizing Lifetime in Tree-based Wireless Sensor Networks, IEEE/ACM Transactions on Networking, to appear (link)
  • T. A. Phan, J. K. Nurminen, M. Di Francesco, Cloud Databases for Internet-of-Things Data, The 2014 IEEE International Conference on Internet of Things (iThings 2014), September 2014
  • More publications: selected and all by year or by type.