Rogelio Ortigosa

Swansea uni

I completed my PhD at Swansea University (SU) within the Zienkiewicz Centre for Computational Engineering (ZCCE) from 2011 to 2016. The research developed earned the ECCOMAS Award for the best PhD thesis in computational methods for applied sciences and engineering. Following my PhD, I held two postdoctoral positions at Swansea University, continuing my work at the ZCCE.

In 2020, I received a Talent Attraction Fellowship at Universidad Politécnica de Cartagena (UPCT), Spain, joining the Department of Applied Mathematics and Statistics. Most recently, in 2023, I was honored with the Juan Carlos Simó Award by the Spanish Society for Numerical Methods in Engineering (SEMNI) for being the top young researcher in numerical methods in engineering in Spain. Since 2022, I have held an Honorary Research Fellowship at Swansea University alongside my current position as a lecturer at UPCT.

Research interests include: (1) Development of Mixed Finite Element formulations for the numerical modeling of smart Electro Active Polymers, (2) The development of structure-preserving time integrators for the time simulation of smart materials, (3) Shape and topology optimization of soft smart materials, (4) Optimal control of soft smart materials, (5) Machine learning techniques for the modeling of smart materials, (6) Fluid-Structure-Interaction for the simulation of smart materials immersed in fluid environments.

Severo Ochoa Seminar by R. Ortigosa; “Accelerating the design of active materials…”
PRESENTATION
NOVEMBER 22nd 09.10-10.50

Chair: Jesus Martinez-Frutos

Computational tools for material and topological optimization

09:10 - 09:50
Niels Aage
Technical University of Denmark

Topology optimization: State-of-the-art and applications to soft robotics

09:50 - 10:20
Rogelio Ortigosa
Swansea uni

Accelerating the design and control of smart materials through multifunctional topology optimization, optimal control and machine learning techniques

10:20 - 10:50
Jun Wu
TU Delft

Space-time topology optimization for smart materials and advanced manufacturing