Education
- Master’s Degree in Computer Science, University of Catania, 2024
- Thesis: “Robotic Table Soccer: Hardware/Software Architecture and Game Strategy”
Project carried out at the ARSLab Laboratory (DMI) and in collaboration with STMicroelectronics - Grade: 110/110 cum Laude
- Thesis: “Robotic Table Soccer: Hardware/Software Architecture and Game Strategy”
- Bachelor’s Degree in Computer Science, University of Catania, 2019
- Thesis: “Wale tool: development of a tool for managing library sharing between Docker Containers”
- Grade: 110/110 cum Laude
My research activity integrates High Performance Computing (HPC), Big Data, and Quantum Computing, with applications in the fields of Computer Vision, Machine Learning, and Deep Learning.
The primary objective of the research is the development and implementation of advanced techniques for real-time systems, capable of processing large volumes of visual data with high computational efficiency.
This involves the study and design of architectures and algorithms optimized for parallel and distributed computing, as well as the exploration of innovative quantum-based approaches to overcome the limitations of traditional methods.
| Year | Referents |
|---|---|
| 2024 | Forte, Gianluigi, Marco Pometti, Domenico Massimo Porto, Corrado Santoro, Federico Fausto Santoro and Rosa Zuccarà. A Multi-Agent System for a Robotic Table Soccer Game. Workshop From Objects to Agents (2024). |
| 2022 | Zuccarà, R., Ortis, A., Battiato, S. (2022). Recognition of Complex Gestures for Real-Time Emoji Assignment. In: Mazzeo, P.L., Frontoni, E., Sclaroff, S., Distante, C. (eds) Image Analysis and Processing. ICIAP 2022 Workshops. ICIAP 2022. Lecture Notes in Computer Science, vol 13374. Springer, Cham.https://doi.org/10.1007/978-3-031-13324-4_19 |
