Scholar
Nicolo’ Dal Fabbro
Google Scholar ID: xMdBRM4AAAAJ
University of Pennsylvania & Nasdaq Inc.
Citations & Impact
Citations
240
H-index
7
i10-index
7
Publications
18
Co-authors
22
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
- Postdoctoral researcher at the University of Pennsylvania; supervised by Prof. George Pappas; recent project: mapping the Douro river plume with underwater autonomous vehicles and multi-agent reinforcement learning.
Education
- PhD from University of Padova; advised by Prof. Luca Schenato and co-advised by Prof. Michele Rossi; focused on studying the designs and properties of frameworks where multiple agents cooperate to solve a machine learning (ML) or reinforcement learning (RL) problem by communicating with a central coordinator, in what is called the Federated Learning (FL) paradigm.
Background
- Research interest: at the intersection of communication networks, control and machine learning. Aims to contribute to the methodological foundations of the next generation of distributed and multi-agent autonomous systems. Engineering-wise, very interested in communication efficiency: how can multiple agents coordinate with minimal communication cost to achieve a certain objective? How can we design communication and control protocols accordingly? Application-wise, recently been working intensively on environmental monitoring in the context of multi-agent underwater robotics, which represents a stimulating and challenging frontier of engineering and science.
