The awards ceremony took place on Tuesday, December1, in the Benedetti Hall of the Telecommunications Tower Complex:
The following projects were selected as winners:
Category: Master's Thesis in Computer Science: Regular Inference over Recurrent Neural Networks as a Method for Black Box Explainability by Franz Mayr, B.S. The advisor was Dr. Sergio Yovine, professor and academic coordinator of Artificial Intelligence and Big Data.
Computer Science Category: SkyGuard: Remote and automated livestock management, developed by students Dan Blanco, Gastón Donadio, Victoria Rocha, Agustín Rodríguez, and Emiliano Rodríguez, and supervised by Mariel Feder, Engineer.
The SkyGuard project consists of a comprehensive system for monitoring livestock using drones and RFID (Radio Frequency Identification) technology, helping to reduce livestock loss through automated monitoring. Once the location and boundaries of the field are entered, the SkyGuard system generates the optimal route for the drones to follow. The patrol is conducted automatically at the set time, and in the event of any malfunction, the drones are programmed to return to base. The system sends real-time notifications to users whenever a problem is detected, such as when an animal enters a dangerous area or is found outside the field’s perimeter. The system also allows users to generate reports on drone patrols, heat maps showing the areas visited by livestock, the animals detected, and any missing animals.
During the awards ceremony, Dr. Fernando Paganini, the school’s vice dean for research, a member of the GACH (Honorary Scientific Advisory Group), and a member of the National Academy of Engineering, was honored for his work in response to the current health crisis, alongside engineers Breogán Gonda, Nicolás Jodal, and Gastón Milano.
