
Francesco Musumeci
دانشیار · Machine-Learning-assisted networking
Polytechnic University of Milanمعرفی
Francesco Musumeci is an Associate Professor at the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano, Italy. He holds a PhD from the same institution (2013) and is a member of the BONSAI Lab. His research focuses on advanced telecommunication networks, including machine-learning-assisted systems, energy-efficient designs, and network resilience against disasters. He has co-authored over 130 peer-reviewed publications and received three Best Paper Awards at IEEE conferences.
Education:
- PhD in Electronics, Information, and Bioengineering (Politecnico di Milano, 2013)
Research Interests:
- Optical networking architectures and optimization
- Machine learning applications in network management
- Converged space-ground communication systems
- Cybersecurity in programmable networks (P4)
- Energy-efficient and disaster-resilient networks
Publications Trends: Recent work emphasizes optical network innovation (e.g., hollow-core fibers), failure management via AI, and cost-effective design strategies. His articles span topics like federated learning for failure detection, filterless optical networks, and quantum communication integration.
Awards:
- Three Best Paper Awards at IEEE-sponsored conferences
Advising & Grants: Served as Associate/Guest Editor and Technical Programme Committee member for IEEE/OSA/Springer journals. Active in reviewing and conference organization. Advises on optical network automation, disaster resilience, and AI-driven network solutions.
Labs & Teams: Leads research within the BONSAI Lab, focusing on cutting-edge networking technologies and collaborative projects with industry partners.
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