Francesco Ferrini
Located in Trento, Italy
Hi there 🌱
I am Francesco Ferrini, researcher in the fields of Artificial Intelligence and Machine Learning. Currently, I am pursuing a Ph.D. in Artificial Intelligence and Machine Learning at the Structured Machine Learning Group, University of Trento, Italy, under the supervision of Andrea Passerini (University of Trento) and Manfred Jaeger (University of Aalborg, Denmark)
My research interests revolve around Graph Neural Networks, Knowledge Graphs, and Geometric Deep Learning.
Before embarking on my doctoral journey, I completed a Master's degree in Artificial Intelligence Systems. During this time, I had the opportunity to work on various projects related to Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing.
I also interned at Aalborg University in Denmark. It was during this period that I began my Master's thesis project, where I investigated meta-path learning with GNN in heterogeneous graphs.
In my free time, I enjoy doing sports, especially calisthenics and tennis, and playing chess.
Feel free to explore my website, where you can find more about my research, projects, and publications. If you have any questions or wish to collaborate, or simply talk about research, tech or science, don't hesitate to contact me.
- Contact me at francescoferrini1997@gmail.com if interested!
If you have an idea and want to see if I'd be interested in helping out, please contact me!
Publications
A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation
Authors: Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini
Conference: ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling
Year: 2024
Meta-path Learning for Multi-relational Graph Neural Networks
Authors: Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
Conference: Learning On Graphs Conference 2023
Accepted as: Oral
Year: 2023
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
Authors: Wamiq Raza, Anas Osman, Francesco Ferrini, Francesco De Natale
Journal: Multidisciplinary Digital Publishing Institute
Year: 2021