I am Dr. Marialisa Scatà, Post-Doctoral Researcher at Department of Electrical, Electronics and
Computer Science Engineering (DIEEI) at University of Catania, Italy. I was born in Siracusa, Italy, in 1981. I received her B.S. and M.S. degrees in Telecommunication Engineering, from Department of Electrical, Electronics and Computer Engineering, University of Catania. I hold a Ph. D. in Computer Science and Telecommunication Engineering at the same department, under the guidance of Prof. Aurelio La Corte, in 2012. During the Ph.D. I attended severe conferences and many schools on complex systems, networks and bio-inspired models, such as my participation to various editions of J.T Schwartz International School for Scientific
Research (Lipari school). I made an internship at Computer Laboratory, Department of Computer Science, University of Cambridge (UK), under the supervision of Prof. Pietro Liò, with whom I've been collaborating since 2011. I have been the co-supervisor of more than 10 MSc Thesis in Telecommunication Engineering at DIEEI, University of Catania since 2009. I made severe lectures in different courses of MSc in Telecommunication Engineering at DIEEI, University of Catania and a lecture as part of courses related to a grant. Currently, I work as postdoctoral researcher at DIEEI, University of Catania, since 2014 with Prof. Aurelio La Corte. My principal collaborator is Dr. Alessandro Di Stefano. Continuing to collaborate with the University of Cambridge and prof. Pietro Liò, I collaborate with other Universities in Europe, such as Teesside University, with Dr. Claudio Angione, Senior Lecturer in Computer Science. I am GTTI, CNIT, IEEE, IEEE Woman in Engineering and CSSociety member. My research is characterized by an interdisciplinary approach and it is focused on the following topics: multilayer networks, epidemic models, social contagion and human behaviours, game theory, complex systems, data mining, bio-inspired models and future ICT. Moreover, my research interests span also mathematics, physics, computer science, complex systems, bioinformatics, computational complexity, computational biology.