Dr. Nicola Marchetti of Trinity College Dublin, Ireland.

The growing complexity of wireless networks has sparked an upsurge in the use of AI within the telecommunication industry in recent years. AI has been associated – in the communication engineering community and beyond that – mainly with Machine Learning, in fact more often with Deep Learning, a subset of Machine Learning. We advocate that the breadth and possibilities offered by the AI field are such that many other aspects, tools and theories from this rich area can bear fruit in the analysis an design of future networks. A couple of examples of such alternative AI techniques that we use in my lab, are Explainable AI (XAI) and Agent Based Modelling (ABM). We will focus on Robust Network Intrusion Detection and the communication aspects of a road traffic management system as possible applications, among others.

We will then turn our attention to the rapid deployment of quantum computers and quantum satellites, as there is a pressing need to design and deploy quantum and hybrid classical-quantum networks capable of exchanging classical information. In this context, we conduct a foundational study on the impact of a mixture of classical and quantum noise on an arbitrary quantum channel carrying classical information. In terms of decision-making, as quantum networks are emerging as a means of providing true connectivity between quantum computers, it is crucial to exploit game theory for addressing challenges like entanglement distribution and access, routing, topology extraction and inference for quantum networks.

We compare quantum game theoretical strategies with classical ones, by showing the quantum advantages in terms of link fidelity improvement and latency decrease in communication.

Besides the technical aspects, we will also discuss the implications of the above technologies for society
and industry.

Biography:

Dr. Nicola Marchetti is Associate Professor in Wireless Communications at Trinity College Dublin, Ireland, where he is the Head of the EE Engineering department. He is an IEEE Communications Society Distinguished Lecturer, an IEEE Senior Member, and a Fellow of Trinity College. He received the PhD in Wireless Communications from Aalborg University, Denmark in 2007, the MSc in Electronic Engineering from University of Ferrara, Italy in 2003, and the MSc in Mathematics from Aalborg University in 2010. He has authored more than 190 journals and conference papers, 2 books and 9 book chapter, holds 4 patents, and received 4 best paper awards. His research interests span Complex Networks, Mathematics for Communications & Computing, Network Resource Allocation, and Signal Processing for Communications. He serves as Technical Editor for IEEE Network and IEEE Wireless Communications and has served as an Associate Editor for the IEEE Internet of Things Journal and the EURASIP Journal on Wireless Communications and Networking.

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