Research
My academic contributions, publications, and research in Communications Engineering and Machine Learning.
Selected Publications
Mutual Information Estimation via f-Divergence and Data Derangements
Nunzio A. Letizia, Nicola Novello, Andrea M. Tonello
Advances in Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024
Novel approach to mutual information estimation using f-divergence and data derangements, contributing to the field of information theory and machine learning.
View publication →Cooperative Channel Capacity Learning
Nunzio A. Letizia, Andrea M. Tonello, H. Vincent Poor
IEEE Communications Letters, Princeton University, 2023
Deep learning-based algorithms for channel capacity estimation, conducted during visiting research at Princeton University.
View publication →Segmented Generative Networks: Data Generation in the Uniform Probability Space
Nunzio A. Letizia, Andrea M. Tonello
IEEE Transactions on Neural Networks and Learning Systems, 2022
Novel approach to data generation using segmented generative networks operating in uniform probability space.
View publication →A Novel Recursive Smooth Trajectory Generation Method for Unmanned Vehicles
Nunzio A. Letizia, Babak Salamat, Andrea M. Tonello
IEEE Transactions on Robotics, 2021
Innovative method for generating smooth trajectories for unmanned vehicles using recursive techniques.
View publication →Capacity-Driven Autoencoders for Communications
Nunzio A. Letizia, Andrea M. Tonello
IEEE Open Journal of the Communications Society, 2021
Capacity-driven autoencoders specifically designed for communication systems.
View publication →Education
PhD in Communications Engineering
2019 - 2024University of Klagenfurt
Thesis: Deep Learning Models for Physical Layer Communications
Supervisors: Prof. Andrea M. Tonello and Prof. Bernhard Rinner
Master's Degree in Electronics Engineering
2016 - 2018Università degli Studi di Udine
Thesis: Compressive Sensing of Cardiac Data
Supervisors: Prof. Gari D. Clifford, Prof. Roberto Rinaldo, Dr. Giulia Da Poian
Final Mark: 110/110 cum Laude
Bachelor's Degree in Electronics Engineering
2013 - 2016Università degli Studi di Udine
Thesis: Acquisizione di segnali con tecniche di Compressive Sensing
Supervisors: Prof. Roberto Rinaldo, Dr. Giulia Da Poian
Final Mark: 110/110 cum Laude
Awards & Recognition
Best Dissertation Award
Faculty of Technical Sciences, University of Klagenfurt
2025
Best Paper Award
IEEE ISPLC 2021
2021
Best Graduated Student
Electronics Engineering Curriculum
2016
Marinella Panozzo Scholarship
Best Freshman in Electronics Engineering
2014
Italian Mathematics Olympics Finalist
Bronze Medal
2013
Visiting Research
Princeton University
Dec 2022 - Jan 2023Visiting Researcher
Supervisor: Prof. H. Vincent Poor
Department: Electrical Engineering
Emory University
March - July 2018Master Thesis Research
Supervisor: Prof. Gari Clifford
Department: Biomedical Informatics
Interested in research collaboration?
I'm always open to discussing research opportunities, collaborations, and academic partnerships.
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