Rubén Campoy García

Rubén Campoy García is a faculty member in the Department of Statistics and Operations Research at Universidad de Murcia, holding the academic rank of Assistant Professor. He completed his PhD in 2018 with a dissertation on projection algorithms, supervised by Dr. Francisco J. Aragón Artacho. His research is centered on optimization algorithms, particularly projection and splitting methods with applications in feasibility problems and combinatorial design.

• Doctorate: Universidad de Murcia, 2018

His research interests include operations research, numerical analysis, operator theory, convex and nonconvex optimization, and combinatorial optimization. He specializes in the development and analysis of algorithms such as the Douglas-Rachford method, alternating direction method of multipliers (ADMM), and resolvent computation techniques. His work bridges theoretical foundations with practical applications in signal processing and discrete optimization.

The trends in his publications show a consistent focus on iterative methods for solving feasibility and optimization problems. He frequently collaborates with leading researchers in the field, contributing to advancements in nonconvex optimization, convergence analysis, and algorithmic efficiency. His work appears in top-tier journals such as Journal of Optimization Theory and Applications and Computational Optimization and Applications.

No scientific awards are listed in the available sources.

Rubén Campoy García has co-authored multiple publications with prominent researchers including Francisco J. Aragón Artacho, Matthew K. Tam, and Hung M. Phan. While no formal advisees or grant information is provided, his collaborative network indicates active engagement in research teams and academic projects. He is not associated with a specific lab, but his work aligns with research groups focused on optimization and applied functional analysis.