Hey there, my name is Francesco Paissan, and I am 21 years old. I am fascinated by the opportunity to model phenomena and broaden my understanding of various problems from different disciplines using different frameworks, from physics to deep learning.
I started with robotics, intending to make accessible to a broad audience something otherwise tricky to explore, namely underwater environments. During the development of the prototype of the underwater drone, I fell in love with physics and the idea of modelling the world using mathematics. Thus, I decided to pursue a bachelor degree in Physics at the University of Trento. At the same time, I had the opportunity to work in Fondazione Bruno Kessler (FBK), where I started my journey as a research fellow under the supervision of Dr. Elisabetta Farella. There, I am focusing on the development of efficient deep learning techniques for a variety of tasks. My primary interest is in multimedia analytics at the edge (e.g. audio-visual processing on microcontroller units). Moreover, I am also developing new methodologies for electroencephalogram (EEG) decoding and processing mainly based on neural nets. My involvement in this domain led me to collaborate on the speechbrain toolkit under the supervision of Dr. Mirco Ravanelli. The goal of this collaboration is to add EEG processing pipelines to the speechbrain toolkit.
Despite working on various exciting problems in FBK and with speechbrain, I also wanted to develop a deeper understanding of physics and its research ecosystem. For this reason, I joined the LEGEND200 collaboration under the supervision of Prof. Giuseppe Salamanna to develop and deploy novel solutions for machine learning applied to neutrino physics.
Please feel free to connect with me via Twitter!
|Dec 20, 2021||I am grateful to have the possibility to work on the Italian Space Agency (ASI) “ENVISION” project as instrumentation technologist (4 months contract, Roma Tre University)|
|Oct 11, 2021||The code for PhiNets was featured on the official Pytorch Lightning twitter! 🔥|
|Sep 1, 2021||I started contributing to speechbrain for EEG processing pipelines.|
|May 31, 2021||One of my papers was featured in the Big Data Value Newsletter “How to get real-time information from low-quality images – MARVEL’S 1ST SCIENTIFIC PAPER”.|
|Jan 20, 2021||I joined the LEGEND200 collaboration as scientific collaborator through the National Institute of Nuclear Physics (Roma3).|
- The LEGEND-200 LAr instrumentation: From design to commissioningIn Neutrino Conference 2022
- PhiNets: a scalable backbone for low-power AI at the edgearXiv preprint arXiv:2110.00337 2021