Emanuele Mengoli

I am a Ph.D. candidate in Applied Probability at Inria and Télécom Paris, specialising in stochastic modelling of wireless networks, with a focus on 6G and Satellite Communications. My doctoral research is supervised by Professor François Baccelli and Professor Laurent Decreusefond.

I hold an MSc in Computer Science from École Polytechnique, where I specialised in Machine Learning and Communication Networks. For my master’s thesis, I joined EPFL’s Information and Network Dynamics lab, under the guidance of Professor Patrick Thiran, where I worked on Bayesian optimisation for power control in cellular networks.

Previously, I was part of the Data Science team at Cisco Meraki, developing a novel time series prediction model for L2 device anomaly detection.

I obtained my BSc in Industrial Engineering from the University of Bologna, specialising in ICT. As part of my thesis, I developed an algorithm for vehicle failures prediction, later acquired by Movyon for tunnel failure monitoring.

Research Interests

I am broadly interested in the intersection of stochastic modelling and machine learning for improving wireless networks. I am also interested in developing theoretical extensions within stochastic optimisation theory.

My latest projects have focused on:

• Studying the entanglement between sensing and communication in JCAS networks, adopting a stochastic geometry approach,
• RL for dynamic routing adaptation in multi-hop LPWANs,
• RIS-assisted tracking and localisation.

Contacts

LinkedIn   |   Github   |   Google Scholar   |   em.mengoli@gmail.com