Alejandro Tejedor Cubero

Centre: IUI BIFI
Institution: University of Zaragoza, Zaragoza (Spain)
Position: Researchers from the University of Zaragoza
E-mail: alejtejedor@gmail.com
Phone: 976762989
Profile:  Ver

Personal statement
My research activity started with my PhD thesis at the University of Zaragoza, and since then I have had the opportunity to continue my research in different institutions around the world, such as the University of Minnesota, the University of California, the Max Planck Institute and the Sorbonne Abu Dhabi University. In 2023, I joined the Biocomputing and Complex Systems Physics Institute (BIFI) through the Maria Zambrano Fellowship, motivated by the desire to apply and enrich my interdisciplinary expertise in physics and Earth processes. My research focus is based on the study of spatial and temporal patterns to infer the physical processes that generate them, combining physics, network theory and complex systems, as well as data science techniques. Research in this field is particularly fascinating in the context of the growing volume of Earth observation data available.

Researcher profile identity
I am a researcher leve R3, and my research focuses on the analysis of terrestrial patterns from remotely sensed data (including satellite and airborne products) and the study of connectivity networks in natural systems. I use a quantitative and multidisciplinary approach to study how biogeophysical processes leave their footprints on the landscape, employing tools such as graph theory, machine learning techniques and numerical models to develop new inference methods. A key area of my work is the study of river deltas and erosional landscapes, where I have developed innovative conceptual frameworks to understand their internal dynamics. In addition, I study connectivity in environmental systems, using networks to model how connectivity influences the dynamics and resilience of these systems to disturbances.

Why my research is important 
My research addresses critical environmental problems through data analysis and the development of conceptual frameworks within the paradigm of complex systems science, with the goal of improving the prediction and management of natural systems. The study of river deltas and erosional landscapes is fundamental to understanding how these systems will respond to environmental and anthropogenic changes, such as climate change. In addition, the formulation of environmental problems in terms of underlying connectivity and their subsequent analysis has direct applications in ecosystem resilience assessment and water resource management. The approaches and tools I develop have the potential to be used both by the scientific community and to inform environmental management policies, thus improving decision making in the face of ecological and climatic challenges.

More about me and my research 
– www.atejedor.com
– https://cosnet.bifi.es/
– LinkedIn:  https://www.linkedin.com/in/alejandro-tejedor-4a499025/
– X:  https://x.com/AlejTejedor