Pau Segovia Castillo

Pau Segovia Castillo is a Beatriz Galindo Fellow in the Department of Automatic Control at Universitat Politècnica de Catalunya (UPC), where he conducts research in large-scale systems control. He is affiliated with the Advanced Control Systems (SAC) research group at the Research Center for Supervision, Safety and Automatic Control (CS2AC). Previously, he held postdoctoral positions at IMT Lille Douai (2019–2020), Delft University of Technology (2020–2023), and UPC (2023).

• BS/MS in Industrial Engineering, Universitat Politècnica de Catalunya (UPC), 2015
• Joint PhD in Automatic Control, Robotics and Vision, UPC and IMT Lille Douai, France, 2019

His research focuses on non-centralized predictive control approaches for managing large-scale systems, with applications in water resources systems, intelligent transportation systems, and energy systems. He applies model predictive control, digital twin technologies, and switching control strategies to real-world infrastructure such as canals, irrigation networks, and inland waterways. His work emphasizes real-time optimization, robustness, and scalability in complex environments.

The recent publications highlight a strong trend in model predictive control applied to waterway and transportation systems. Key themes include coordination of vessels and bridges, digital twin implementation, multilayer control architectures, and observer design for nonlinear systems. The research spans both theoretical advances in control theory and practical implementations using real databases and simulations.

Scientific recognition includes:

• Beatriz Galindo Fellow

He advises PhD students, including Javier Pedrosa Alias, and has been involved in collaborative research projects across institutions in Spain, France, and the Netherlands. His work is supported by his fellowship and integrated within the SAC research group, contributing to national and international efforts in smart infrastructure and automation. The research group CS2AC provides a multidisciplinary environment for supervision, safety, and automatic control applications.

He is a member of the Advanced Control Systems (SAC) research group at CS2AC, which focuses on developing advanced control methodologies for safety-critical and large-scale systems. The team works on real-time monitoring, fault detection, and optimization of industrial and environmental processes.