Marcos Boullón Magán
member
Marcos Boullón Magán has a PhD in Physics Science from USC and a Computer Engineering degree from UNED. He publishes in the fields of high-performance computing, parallel programming and distributed systems, as well as geographic information technologies. He also actively participates in conferences, courses, and projects in these same areas. His MSc thesis was on heuristic optimization applied to land redistribution, and his PhD thesis on modeling the performance of irregular code in complex distributed architectures.
After learning in the USC Computer Architecture research group, since 2005 he has been a member of the Land Laboratory where his activities take place in a multidisciplinary context focused on sustainable management of land and territory. Nowadays, his main research interests are the programming and optimization of calculus algorithms for the processing of information with a spatial component, architectures for parallel programming and distributed systems, processing of large volumes of data, databases design and secure computing.
Between 2014 and 2020, and again since 2022, Marcos has been a professor in the USC Department of Computing Engineering teaching in different degrees (geomatics and topography, landscape engineering, smes, business and technology, civil engineering, and robotics).
Email: marcos.boullon@usc.es
Code ORCID: 0000-0001-8758-0340
| Type | Year | Lines | Title and Authors |
|---|---|---|---|
| Publication | 2025 | - | Modelos e técnicas de simulación e planificación do territorio: Casos prácticos en Galicia en “Terra e Territorio - experiencias na memoria de Rafael Crecente' |
| Conference | 2025 | - | OpenRules3: Una herramienta para la ordenación de usos |
| Publication | 2024 | - | Procesado de sinais discretos no dominio do tempo (unidade didáctica) |
| Publication | 2022 | - | Models and Techniques for Land Use Simulation and Planning: Case Studies in Galicia |
| Conference | 2021 | - | Performance of multicriteria evaluation and heuristic methods in the delineation of green infrastructure in areas with fragmented landscapes |