Noticias / Precipitation Estimation Using Deep Learning - Seminar

INSTITUTIONAL SEMINAR

Precipitation Estimation Using Deep Learning - Seminar

The Institute for Modeling and Technological Innovation (IMIT) hosted a significant institutional seminar yesterday on "Precipitation Estimation Using Deep Learning from Synthetic Data in the Province of Córdoba." The event, which began at 3:00 PM, was well attended in the FaCENA UNNE Graduate Classroom, both in person and online.

Tags:
Estimación de Precipitación utilizando deep learning a partir de datos sintéticos
"Estimación de Precipitación utilizando deep learning a partir de datos sintéticos
"Estimación de Precipitación utilizando deep learning a partir de datos sintéticos
"Estimación de Precipitación utilizando deep learning a partir de datos sintéticos
"Estimación de Precipitación utilizando deep learning a partir de datos sintéticos
"Estimación de Precipitación utilizando deep learning a partir de datos sintéticos

The presentation was led by Paul Gabriel Fernández Chomik, a doctoral fellow at IMIT-CONICET and professor at the UNNE School of Engineering. Fernández Chomik, a Civil Engineer who graduated from UNNE Resistencia Campus and is currently pursuing a PhD in Engineering Sciences at the same university, provided an in-depth and insightful perspective on a vitally important issue.

During the enriching session, the challenges of precipitation estimation from weather radar data were explored. Fernández Chomik highlighted how advanced deep learning models, and specifically U-net networks, represent an innovative approach to overcoming the limitations of traditional approaches. The performance of various architectures and their sensitivity to spatial and temporal information were analyzed, all within the framework of the PREVENIR Project.

PREVENIR is a significant Argentine-Japanese collaboration that pursues the ambitious goal of developing an early warning system for extreme precipitation events, which underscores the relevance of the research presented at the seminar.

This seminar reinforces IMIT's commitment to cutting-edge research and knowledge dissemination in areas critical to technological development and natural disaster prevention.

Link to the presentation video