Emanuele Mengoli

I am a Ph.D. candidate in Applied Probability at Inria and Télécom Paris, where I am a member of the MATHNET team and the LTCI laboratory. I am fortunate to be advised by Professor François Baccelli, Dr. Nahuel Soprano-Loto and Professor Laurent Decreusefond.

My research lies at the intersection of probability theory, stochastic networks and wireless communications. I am particularly interested in developing probabilistic models that capture the spatial and temporal dynamics of large-scale communication systems, with a current emphasis on Non-Terrestrial Networks (NTNs) and 6G.

More broadly, I am interested in how probabilistic modelling can be combined with optimisation and learning methods when the underlying network is dynamic, partially observed, or analytically intractable.

Background

Before starting my Ph.D., I studied Computer Science at École Polytechnique, specialising in machine learning and communication networks. For my Master’s thesis, I joined the INDY at EPFL, where I worked with Professor Patrick Thiran on dynamic Bayesian optimisation for power control in cellular networks.

My earlier research and industry experience spans wireless localisation, RIS-assisted systems, time-series modelling, anomaly detection and predictive maintenance. These experiences progressively led me toward my current interest in the mathematical modelling of networked systems.

I received my B.Sc. in Industrial Engineering, with a specialisation in Information and Communication Technology, from the University of Bologna.