
Gabriele Proietti Mattia
Co-founder & CEO @ Synapsi.ai
With my startup I help companies bring Computer Vision and Artificial Intelligence straight onto IoT and Edge devices — from prototyping to production. A past as a researcher in Computer Engineering at Sapienza University of Rome, today working on real products.
Co-founder at Synapsi, a deep tech startup developing a modular platform for building, orchestrating, and deploying Computer Vision solutions. We work with system integrators and enterprises to speed up computer vision solutions development and integration with existing infrastructures, enabling applications such as people counting, license plate recognition, real-time behavioral analysis, and many others.
RTD-A (Research Fellow - Type A) position at Department of Computer, Control and Management Engineering "Antonio Ruberti" under the MUR National Recovery and Resilience Plan funded by the European Union - NextGenerationEU.
Assegnista di Ricerca at Department of Computer, Control and Management Engineering "Antonio Ruberti". The main research area regards Scheduling and Load Balancing in Fog and Edge computing, specifically targeting but not limited to green power sources, Green Edge Computing.
Contract for the further developing of the web platform A.R.I.A. that automates publication databases tasks between IRIS, Scopus and Web Of Science. The platform will be extended from the department to the whole University. Languages and frameworks used: Angular, Go, MongoDB.
Course on Virtual (VR) and Augmented Reality (AR) for Industry 4.0.
The research is aimed to analyze and evaluate of the department's scientific production, and had as a final result the implementation of A.R.I.A. (Academic Research Information Assistant) [available at aria.diag.uniroma1.it] a complete web platform that allows to automate periodic tasks that deal with publications databases. The platform that I developed uses: Angular, Go and MongoDB.
Scholarship at Department's library.
Thesis: Cooperative Scheduling and Load Balancing techniques in Fog and Edge Computing
Thesis: Servizio di messaggistica da terminale con interfaccia utente reattiva
Peer-reviewed articles on Fog/Edge/Cloud computing and distributed systems — the filterable version, with conference slides, is on the research page.
ArrangeJuice is a project realized during the Master Degree course, the final project of the Mobile Applications and Cloud Computing course. The idea is to provide to the user and intuitive way for organize group of people. The project was entirely developed by me, I built the Android application and the NodeJS backend.
The kernel module "Fibers" a project realized during the Master Degree course, the final project of the Advanced Operating System and Virtualization course. The project is a Linux kernel module that implements the Windows well-known fibers paradigm.
VisualEngine is a project realized during the Master Degree course, the final project of the Visual Analytics + Web Information Retrieval courses. The base idea was to create a Web search engine that was augmented with visualization of the results. I mainly worked on the AngularJS frontend, the idea and the design of the project.
I started to port Cyanogenmod and AOSP to Huawei Ascend Mate 7 device. Cyanogenmod resulted incompatible with Huawei framework but AOSP it's working correctly. I opened repo pool and a thread on XDA.
Materialfields is an android library for easily creating fancy forms in material design style.
"iTunesLyricsGrabber" is a Windows application that allows to add lyrics to iTunes tracks automatically. I wrote the application in C# by using WindowsForm and the iTunes COM object. The application reached thousands of downloads on sourceforge.net