Gisela Pujol Vazquez

Gisela Pujol Vazquez is a Professor in the Department of Mathematics at the Escola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa (ESEIAAT), Universitat Politècnica de Catalunya (UPC). She is an active member of the CoDAlab research group, focusing on Control, Data, and Artificial Intelligence. Her academic background includes a Licentiate and a PhD in Mathematics, both with excellent standing.

• Professional Category: Professor agregat/professora agregada
• Research Group: CoDAlab - Control, Dades i Intel·ligència Artificial
• Email: gisela.pujol@upc.edu
• ORCID: 0000-0003-0067-2571

Her research interests span Robust Control, Applied Mathematics, Control Systems in Engineering, and Control Theory, with strong applications in mechanical systems, vibration control, and biomedical engineering. She has made significant contributions to nonlinear control, fault detection in wind turbines, and control algorithms for chaotic and hysteretic systems. Her recent work integrates control theory with real-world applications in energy, health, and civil engineering.

The analysis of her recent publications reveals a consistent focus on advanced control techniques such as finite-time control, boundary control, LPV methods, and iterative learning, applied to diverse systems including wind turbines, magnetic levitation, glucose-insulin regulation, and civil structures. Her work bridges theoretical developments with experimental validation and practical implementation.

She has received recognition including the Actuators 2022 Best Paper Award. Her involvement in competitive R&D projects and conference scientific committees underscores her active role in the academic community.

Gisela Pujol Vazquez has contributed to educational innovation in applied mathematics, participating in multiple teaching projects and publications on the use of new technologies in engineering education. She collaborates extensively with researchers such as Leonardo Acho, Francesc Pozo, and Josep Rodellar, indicating a strong network in control systems research.

She is involved in the CoDAlab research laboratory, which focuses on control, data, and artificial intelligence, contributing to both theoretical and applied research in dynamic systems and control engineering.