In the Electronics category, first place went to the project by Carolina Allende , titled "Quantum Neural Networks." The advisors were Dr. Efrain Buksman and Dr. André Fonseca.
His thesis aims to solve a problem inherent to quantum computing. Any valid operation on a quantum system is represented by a unitary matrix, but current quantum computers are programmed using cascades of basic gates, in a manner analogous to digital electronics. Using classical machine learning techniques, his thesis takes any unitary matrix and seeks to map it to a cascade of basic gates so that any quantum algorithm can be programmed on a real computer.
In the Systems category, first place was shared by two projects in Systems Engineering:
- Krooping - Satellite image processing for the generation of agronomic indices, carried out by students Fabián Piñatares, Agustina de Pró, Sebastián Delfino, and Joaquín Bentancor, under the supervision of Dario Macchi, M.Sc.
The project involved the development of a mobile app to enable agricultural engineers and farmers to optimize crop yields through the processing of satellite images and the calculation of agronomic indices. - Leemo - A Systems Engineering content management system developed by students Martín Ganón, Matías Rodríguez, and Agustín Rostagnol. The project advisor was Juan Pablo Russo, Engineer.
Millions of users consume online content every day, ranging from articles and recipes to videos and posts on various social media platforms. However, there is no satisfactory solution that allows users to save, organize, or even share this content, so it ends up getting lost in personal WhatsApp chats, email chains, or other platforms. Leemo emerges as the content manager that solves this problem, focusing on the needs of its users and placing them at the core of its digital ecosystem.
In addition, two other systems engineering projects received honorable mentions:
- Minimum Viable Product Management and an Agile Software Development Model for Software Technology Startups, by Andrés Bentos and Camila Pera. The project advisor was Dr. Gerardo Matturro
- "Active Learning Techniques for Probabilistic and Deterministic Finite Automata Extraction from Language Models," by Federico Pan Suárez. The advisors were: Franz Mayr, M.Sc., and Sergio Yovine, Ph.D.
