Lorenzo Pappone

Saint Louis University

Dept. of Computer Science

1 N. Grand Blvd.

St. Louis, MO 63103 USA

I am a PhD student in Computer Science under the advisement of Dr. Flavio Esposito, at Saint Louis University, where I am part of the Networking Research Group (NRG). My research interests revolve around the intersection of Machine Learning, AI and Networked Systems.

I am currently working on different projects which aim to explore new AI technologies for distributed systems and computer networks. My research includes topics like Deep Reinforcement Learning (DRL), Generative AI, Federated Learning and more.

News

[Jun 2023]	Our work entitled “Dealing with Changes: Resilient Routing via Graph Neural Networks and Multi-Agent Deep Reinforcement Learning” has been accepted at IEEE Transactions on Network and Service Management.
[May 2023]	Started an internship as a Visiting Researcher at Boston University, Boston, MA, USA, under the advisement of Dr. Abraham Matta.
[Nov 2022]	Our work entitled “A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques” has been accepted at CCNC ‘23 (Las Vegas, NV, USA)! 🎉
[Sep 2022]	Our work entitled “Routing with Graph Convolutional Networks and Multi-Agent Deep Reinforcement Learning” has been accepted at NFV-SDN ‘22. Check it out!
[Jun 2022]	Our work entitled “Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning” has been accepted at NI 2022 Workshop (IFIP Networking).
[May 2022]	Started an internship as a Visiting Researcher at KTH Royal Institute of Technology, Sweden, Stockholm, under the advisement of Dr. Marco Chiesa.
[Oct 2021]	We have a poster accepted at IMC ‘21. Check it out here!