Biography
I’m currently in my final year of my PhD program at the Information Engineering Department of the University of Padua, working with Prof. Andrea Zanella. My research is primarily focused on the intersection of systems, networking, and machine learning.
I have been awarded the prestigious Marie Skłodowska-Curie Ph.D. Fellowship in 2021.
Interests
- Networked Systems
- Computer Architecture
- Machine learning
Education
PhD in Information Engineering, 2025
University of Padua
MSc in Computer Science, 2021
Strasbourg University
BSc in Computer Science, 2019
University of Chlef
Publications
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(2024).
Fast Context Adaptation in Cost-Aware Continual Learning.
In TMLCN - IEEE Transactions on Machine Learning in Communications and Networking.
(2023).
Exploring the Efficacy-Efficiency Tradeoff in AI-Native Networking.
In IFIP Networking Conference, IFIP Networking 2023 - Poster Session.
(2023).
The Cost of Learning: Efficiency vs. Efficacy of Learning-Based RRM for 6G.
In ICC 2023 - IEEE International Conference on Communications.
(2022).
Energy Consumption of Neural Networks on NVIDIA Edge Boards: an Empirical Model.
In WiOpt 2022 - International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks.
Projects
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This project involves the implementation of a Software-Defined Networking (SDN) based Intrusion Detection System (IDS) using the POX controller. By leveraging the flexibility and programmability of SDN, the system aims to detect and mitigate network intrusions in real-time.
Blaster is a source-to-source C compiler project designed to optimize linear algebra operations within C code, enhancing performance and efficiency. By automatically identifying and replacing naive implementations of vector/matrix operations with optimized CBLAS function calls.
Accomplishments
Reinforcement Learning Specialization
Game Theory
Data Science Orientation
Deep Learning Specialization