Eva Masero

About

Eva Masero is a researcher advancing the field of predictive control for cyber-physical systems, with a focus on adapting these methodologies to the complex, interconnected environments of modern technology. Her work centers on predictive control—a family of controllers that continuously replan system inputs over a time horizon to optimize expected evolution according to a given criterion. Masero’s major contributions lie in addressing current challenges in this domain, particularly in tailoring predictive strategies for cyber-physical systems, where digital and physical components interact dynamically. Her most-cited paper, "Control predictivo de sistemas ciberfísicos" (2021), has garnered 3 citations, reflecting its foundational role in this niche area. While her citation count is modest, her research is notable for tackling the pressing need for robust, adaptive control in applications like smart grids, autonomous vehicles, and industrial automation. Masero’s work is a stepping stone for students and researchers exploring how predictive control can evolve to meet the demands of increasingly autonomous and interconnected systems, making her a promising voice in this critical engineering frontier.

Research Focus

Key Achievements

Top Papers

1. 1
   Control predictivo de sistemas ciberfísicos

   3 citations · 2021

Key Collaborators

Contact & Links