de Zarzà i Cubero, Irene

PhD Student in Computer Science

Universitat Politècnica de València

De Zarza

Research Topic: UAV semantic scene understanding using learning techniques.

Welcome to my academic website. I am currently a PhD student in Computer Science at the Universitat Politècnica de València, where I work on UAV semantic scene understanding. My advisors are Carlos T. Calafate and Gemma Roig.

I received my Bachelor's degree in Mathematics from Universitat Autònoma de Barcelona in 2013, and my Master's degree in Multimedia Information Technology from City University of Hong Kong in 2015. My research interests include computer vision, ML, and robotics.

On this website, you can find more information about my research, publications, and contact information. Thank you for visiting.


My research focuses on developing methods for enabling Unmanned Aerial Vehicles (UAV) to understand and interpret their surroundings using learning techniques for semantic scene understanding. This involves using ML algorithms to recognize and classify objects in the environment, as well as to understand the spatial relationships between objects. Additionally, I am exploring the use of RL techniques to enable UAVs to learn and adapt their behavior based on their experiences in the environment. By incorporating this understanding into the UAV's control system, we aim to improve the efficiency and effectiveness of UAVs in a variety of applications, such as search and rescue operations, environmental monitoring, and more.


I. de Zarzà

Address: Grupo de Redes de Computadores, Edificio 1G, ETS de Ingeniería Informática, Camí de Vera, s/n, 46022 València