Alicia Tierz

Ph. D. Student

Campus Rio Ebro – Edificio Betancourt. Mechanical Engineering Department.
Maria de Luna, s/n
50018 – Zaragoza (Spain)
e-mail: atierz@unizar.es

[Google Scolar] [GitHub] [LinkedIn]

EDUCATION

  • PhD in Mechanical Engineering (2023 – On going)
  • M.Sc in Automation and Robotics Engineering, Uiversidad Politécnica Madrid (2019 – 2020)
  • B. Sc in Electronic and Automation Engineering (2014 – 2018)
    • Project Title: “Food recognition and handling with neural networks”
    • Advisor:
      • Dr. Carlos Sagües Blázquiz

RESEARCH AREAS

  • Real Time Mechanical Simulations
  • Model Order Reduction
  • Data-driven modeling
  • Physically-consistent Neural Networks
  • Structure-Preserving Neural Networks
  • Computer Vision

TRAINING

  • Machine Learning for Fluid Mechanics. July 2023. CISM – International Centre for Mechanical Sciences, Udine, Italy.

CONGRESS PARTICIPATION

CONFERENCE TALKS

  1. Thermodynamics informed Graph Neural Networks for domain dependent problems. 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics – WCCM-PANACM VANCOUVER 2024. Oral Communication. July 2024. Vancouver, British Columbia, Canada

POSTER

  1. Thermodynammics-informed graph neural networks for domain-dependent problems. 6th International Workshop on Model Reduced Techniques – MORTech 2023. November 2023. ENS Paris-Saclay, Gif-sur-Yvette, France.

PUBLICATIONS

Orcid Number: 0009-0007-8488-6089

  • Tierz, A., Alfaro, I., González, D., Chinesta, F., & Cueto, E. (2024). Graph neural networks informed locally by thermodynamics. arXiv preprint arXiv:2405.13093. https://arxiv.org/abs/2405.13093