20132020

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Personal profile

Academic Biography

Personal webpage: https://distefanoalessandro.github.io/

Dr. Alessandro Di Stefano is a Lecturer in Computer Science at Teesside University, within the Department of Computing & Games.

He received his BSc (2009) and MSc degrees (2012) in Telecommunications Engineering from the Department of Electrical, Electronic and Computer Engineering (DIEEI) at University of Catania, Italy. He holds a PhD in Systems Engineering from the DIEEI at University of Catania, Italy, awarded in 2015 with a thesis titled "Evolutionary Dynamics of Social Behaviours on Multilayer Networks".

After his PhD, he worked as postdoctoral researcher at DIEEI, University of Catania, for almost four years, and then as a research associate and teaching assistant at the Department of Engineering, King’s College London (KCL), London, UK, supervised by Prof. Nishanth Sastry. Recently, he worked as a research associate at Computer Laboratory, Department of Computer Science and Technology, University of Cambridge, UK, supervised by Prof. Pietro Liò, with whom he has been collaborating since 2012.

He is an IEEE member and part of the IEEE Professional Communication Society and the Technical Committee on Computational Life Sciences, and also member of the Complex Systems Society (CSS). He collaborates with several universities in Europe and all over the world, such as Missouri University of Science and Technology, USA. He regularly serves as a reviewer for various top-tier journals, including IEEE Transactions on Mobile Computing, Nature Scientific Reports, IEEE Transactions on Communications, IEEE Internet of Things Journal, and PloS One.

Dr. Di Stefano's research approach is interdisciplinary, incorporating engineering and computer science methodologies applied to socio-technological systems. His main research interests esearch include game theory, network science and machine learning/artificial intelligence. He has published many peer-reviewed papers in high impact journals and leading international conferences.

Summary of Research Interests

  • Game Theory
  • Network Science
  • Machine Learning
  • Human Cooperation
  • Social Dynamics
  • Homophily
  • Epidemic Spreading

More recently, he has been also focusing on methodologies bringing together network science, game theory and machine learning.

Education/Academic qualification

PhD, University of Catania

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Research Output

A Novel Methodology for designing Policies in Mobile Crowdsensing Systems

Di Stefano, A., Scatá, M., Attanasio, B., La Corte, A., Lió, P. & Das, S. K., 1 Sep 2020, In : Pervasive and Mobile Computing. 67, 101230.

Research output: Contribution to journalArticle

  • Resolution of Blockchain Conflicts through Heuristics-based Game Theory and Multilayer Network Modeling

    Di Stefano, A., Di Francesco Maesa, D., Das, S. K. & Lió, P., 30 Jan 2020, ICDCN 2020. Association for Computing Machinery (ACM), 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Improving QoE in multi-layer social sensing: A cognitive architecture and game theoretic model

    Di Stefano, A., Scatà, M., La Corte, A., Das, S. K. & Liò, P., 15 Apr 2019, SocialSense 2019 - Proceedings of the 2019 4th International Workshop on Social Sensing. Ramachandran, G. S. & Ortiz, J. (eds.). Association for Computing Machinery, Inc, p. 18-23 6 p. (SocialSense 2019 - Proceedings of the 2019 4th International Workshop on Social Sensing).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 1 Citation (Scopus)

    Social Dynamics Modeling of Chrono-nutrition

    Di Stefano, A., Scata, M., Vijayakumar, S., Angione, C., La Corte, A. & Lio, P., 30 Jan 2019, In : PLoS Computational Biology. 15, 1, p. e1006714 e1006714.

    Research output: Contribution to journalArticle

    Open Access
  • 174 Downloads (Pure)

    A fog computing-based IoT framework for precision agriculture

    Guardo, E., Di Stefano, A., Corte, A. L., Sapienza, M. & Scatà, M., 30 Sep 2018, In : Journal of Internet Technology. 19, 5, p. 1401-1411 11 p.

    Research output: Contribution to journalArticle

  • 7 Citations (Scopus)