Andres Felipe Posada Moreno
  • Home
  • Experience
  • Publications
  • Research and Projects
  • Teaching
  • Blog

On this page

  • Research Interests
  • Projects
  • Education
  • Selected Publications
  • Contact

Andres Felipe Posada Moreno

Postdoc Researcher — Foundation Models for Dynamical Systems & eXplainable AI

Email Google Scholar GitHub LinkedIn

Hi there! Since September 2024, I am a postdoctoral researcher at the Institute for Data Science in Mechanical Engineering (DSME) at RWTH Aachen University. I completed my PhD under the supervision of Sebastian Trimpe, and was an associate doctoral researcher at the Cluster of Excellence “Internet of Production” funded by the DFG.

Currently, I am focused on Foundation Models for Dynamical Systems, exploring transformer-based models pretrained on synthetic data for prediction and control tasks. This research is funded by the JUPITER AI Factory (JAIF), part of the EuroHPC initiative. I also continue my work on eXplainable Artificial Intelligence (XAI), developing methods for concept extraction and localization in deep neural networks.

Prior to that, I completed a bachelor’s degree in mechatronics engineering at the EIA University, a master’s degree in engineering at the Arts et Métiers ParisTech, worked on agroindustrial applications of IoT and AI at Asimetrix, and worked as a researcher on applied AI at the IMA Cybernetics Lab, RWTH Aachen University, in the context of the QUISS project.

Research Interests

  • Foundation Models for Dynamical Systems Transformer-based models pretrained on synthetic data for prediction and control of dynamical systems.
  • eXplainable Artificial Intelligence Concept extraction and localization methods for understanding deep neural networks.
  • Applied AI Industrial applications of AI across manufacturing, quality control, and transport.

Projects

  • JUPITER AI Factory (JAIF) EuroHPC AI Factory built around Europe’s first exascale supercomputer.
  • Internet of Production (IoP) DFG-funded excellence cluster on using AI in production engineering.
  • QUISS Using AI for damage recognition in rail transport.

Education

  • PhD in Artificial Intelligence — RWTH Aachen University, Germany (2024)
  • M.Sc in General Engineering, Mechatronics Expertise — Arts et Métiers ParisTech, France (2014)
  • B.Sc in Mechatronics Engineering — EIA University, Colombia (2012)

Selected Publications

  • Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF (2025) Holtmann, T., Stenger, D., Posada-Moreno, A., Solowjow, F., Trimpe, S. — CDC 2025 Details | DOI

  • On Foundation Models for Dynamical Systems from Purely Synthetic Data (2024) Ziegler, M., Posada-Moreno, A.F., Solowjow, F., Trimpe, S. Details | arXiv

  • ECLAD: Extracting Concepts with Local Aggregated Descriptors (2023) Posada-Moreno, A.F., Surya, N., Trimpe, S. — Pattern Recognition Details | DOI

  • Scalable Concept Extraction in Industry 4.0 (2023) Posada-Moreno, A.F., Müller, K., Brillowski, F., Solowjow, F., Gries, T., Trimpe, S. — xAI Conference Details | DOI

Contact

  • Email: andres.posada@dsme.rwth-aachen.de
  • Location: Aachen, NRW 52070, Germany
  • Google Scholar | GitHub | LinkedIn

© 2025 Andres Felipe Posada Moreno. Licensed under CC BY-NC-SA 4.0.

 

Built with Quarto.