Miguel-Ángel Fernández-Torres

Miguel-Ángel Fernández-Torres is Assistant Professor at Universidad Carlos III de Madrid (Dept. of Signal Theory and Communications) and member of the Audiovisual Intelligence Group (AIG). He is also a member of the European Laboratory for Learning and Intelligent Systems (ELLIS) and co-leads the Working Group on Data at the Global Initiative on Resilience to Natural Hazards through Artificial Intelligence Solutions (GI-AI4R) at the International Telecommunication Union (ITU) of the United Nations.

His current research within Artificial Intelligence for Earth and Climate Sciences focuses on the design and understanding of explainable deep generative models and attention mechanisms for anomaly and extreme event detection — including wildfires, droughts, and heatwaves. His broader interests span computer vision, remote sensing, machine and deep learning, image and video processing, explainable AI, and visual attention modeling.

He received the Audiovisual Systems Engineering degree, the M.S. in Multimedia and Communications, and the Ph.D. in Multimedia and Communications from Universidad Carlos III de Madrid (UC3M), Spain, in 2013, 2014, and 2019, respectively, and was a postdoctoral researcher at the Image and Signal Processing Group, Universitat de València, between 2020 and 2024. He has also been a Visiting Researcher at the Visual Perception Laboratory of Purdue University (2016), a Beyond Fellow at the International Future Lab AI4EO, Technische Universität München (2022), and a Visiting Researcher at the Department of Artificial Intelligence, Fraunhofer Institute for Telecommunications (HHI), Berlin (2025).