Affiliation:
School of Computer Science and Statistics,
Trinity College Dublin, Dublin 2, Ireland

Dr. Quoc-Viet Pham is currently an Assistant Professor (Above the Bar) in Networks and Distributed Systems at Trinity College Dublin. He received his BSc and PhD degrees in Telecommunications Engineering from Hanoi University of Science and Technology and Inje University in 2013 and 2017, respectively, where he was awarded the Best PhD Dissertation Award.

His research focuses on wireless AI, distributed and federated machine learning, mobile edge computing, and network security, with applications in Internet of Things (IoT) and next-generation wireless networks. He also works on emerging topics such as quantum AI and privacy-preserving systems.

He has authored and co-authored more than 149 scientific publications and has received over 8,500 citations. His work has been recognized by several awards, including the Golden Globe Award for Vietnam’s Young Researchers (2021), IEEE ATC Best Paper Award (2022), and IEEE MCE Best Paper Award (2023).

More information about his publications:
IEEE Profile

Affiliation:
Institute for High Performance Computing and Networking (ICAR),
of the National Research Council of Italy (CNR).

Maria Mannone is a researcher at the Institute for High Performance Computing and Networking (ICAR) of the National Research Council of Italy (CNR). She holds a PhD in Theoretical Physics from the University of Potsdam, Germany, and another PhD in Composition from the University of Minnesota, USA. In parallel to her MSc studies in Physics in Italy, she earned at the Music Conservatory three MAs, in Composition, Orchestral Conducting, and Piano, respectively, and then, in France, the Master 2 ATIAM, Acoustics, Signal Processing, and Computer Science applied to Music, at IRCAM - UPMC Paris VI Sorbonne. She invented the CubeHarmonic, a musical instrument based on the Rubik’s cube. Her research concerns mathematics and music, quantum computing for swarms of robots, and mathematical modeling of neurological disorders, including telecommunication-based modeling of the brain's complex networks.

Keynote: The Brain as a Wireless Communication Network: A New Perspective on Connectivity and Disease., The different parts of the brain exchange signals between them, from the firing of neuronal populations to the activations of macro-areas. The anatomic pathways constitute the “roads” through which the signal travels, and the functional pathways are the “traffic” of communications between them. If we imagine the most active brain areas, the hubs, as fixed-position antennas that send and receive signals, then we can apply the language and formalism of telecommunications to the brain, building an innovative approach to functional connectivity. However, upon the action of specific neurological pathologies, these pathways can be damaged. The paradigm of telecommunications allows a description of the functional damage in terms of signal-transmission alterations. This approach holds great potential to foster new perspectives and potentially new therapeutic approaches.