Andres Felipe Posada Moreno
Postdoc Researcher in eXplainable Artificial Intelligence (XAI) and Foundation Models
Institute for Data Science in Mechanical Engineering (DSME), RWTH Aachen University
Biography
Hi there! Since September 2024, I am a postdoctoral researcher at the Institute for Data Science in Mechanical Engineering (DSME) at RWTH Aachen University, focusing on both Foundation Models and Explainable Artificial Intelligence (XAI). 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.
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.
My research interests lie in the fields of Explainable Artificial Intelligence (XAI), Foundation Models, and applied AI. I am interested in the internal representations learned by neural networks, how can they be transferred and how these representations relate to human-understandable concepts. More specifically, I’m focused on methods for concept extraction and active learning and their usage in industrial applications. Recently, I’ve been exploring foundation models, their latent representations, and how they apply in industrial time-series scenarios.
- Artificial Intelligence
- eXplainable Artificial Intelligence
- Neural Networks
- Foundation Models
- Computer Vision
- Time Series
PhD in Artificial Intelligence, 2024
RWTH Aachen University, Germany
M.Sc in General Engineering, Mechatronics Expertise, 2014
Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers, France
B.Sc in Mechatronics Engineering, 2012
EIA University, Colombia
Experience
Responsibilities include:
- Student Supervision: Supervision of bachelor and master student thesis, as well as guidance of doctoral students.
- Foundation Models Research: Exploring foundation models, their latent representations, and their application in industrial time-series scenarios.
- eXplainable Artificial Intelligence Research: Specialized in global explainability methods (concept extraction) for deep neural networks.
Responsibilities include:
- Lecturer: Lecturer on the subject “Learning-based Control Seminar”.
- Student Supervision: Supervision of bachelor and master student thesis.
- eXplainable Artificial Intelligence Research: Specialized in global explainability methods (concept extraction) for deep neural networks.
- Organization of Seminar series: Organization of the “Research Seminar on AI” RSAI.
- Excellence cluster: Co-lead of the AI expert group at the excellence cluster “Internet of Production”.
Responsibilities include:
- Lecturer: Lecturer on the subject “Artificial Intelligence and Data Analytics for Engineers”.
- Student Supervision: Supervision of bachelor and master student thesis.
- Applied Artificial Intelligence Research: Specialized in the application of neural networks to high-dimensional data scenarios.
Responsibilities include:
- Research and Development: Focused on AI and IoT solutions in the protein production industry. Specialized in the development and testing of both IoT devices and cloud based AI services.
- Conference Speaker: Delivered presentations on emerging technologies and data-driven decision-making processes.
Responsibilities include:
- Teaching: Lecturer on the “Mechatronics Design” lecture for 8th semester undergraduate students.
Projects
Featured Publications
Recent Publications
Contact
- andresfp14@gmail.org
- Aachen, NRW 52070