M.Sc. Ivan Guzman (Ivan)
Process Systems Engineering
Main Focus
My focus lies at the intersection of classical engineering and computational science.
The core of my work is built on three pillars:
- Modeling of Technical Systems: The mathematical description of physical processes to digitally represent their behavior.
- Numerical Simulation: The implementation and solution of these models using software tools (such as MATLAB/Simulink, Python, or Julia) to generate precise predictions.
- AI-Assisted Approaches: Enhancing classical mechanics through machine learning (e.g., PyTorch/TensorFlow) to develop more efficient and intelligent simulation models.
My goal is to leverage Simulation Sciences to bridge the gap between theoretical derivation and practical technical application.
Curriculum Vitae
Academic Education
M.Sc. Simulation Sciences, RWTH Aachen University (10/2023 – 10/2025)
B.Sc. Mechanical Engineering, Universidad del Valle, Colombia (02/2017 – 02/2023)
Professional Experience & Research
Student Research Assistant (HiWi) – Chair of Fluid Process Engineering (AVT.FVT), RWTH Aachen University
- Modeling and numerical simulation of an extrusion process (coupling of transport and reaction models)
Student Research Assistant (HiWi) – Institute of General Mechanics (IAM), RWTH Aachen University
- AI-assisted modeling in structural mechanics
Internship – Bosch Thermotechnik GmbH, Wernau, Germany
- Modeling and validation of heat pump systems in a virtual testing environment using MATLAB/Simulink
Internship – Cenicaña (Sugarcane Research Center), Cali, Colombia
- Analysis of energy efficiency and consumption in power plants plants within the sugarcane sector
Technical Expertise & Languages
Software & Programming:
- MATLAB, Simulink, Python (PyTorch, TensorFlow), Julia
- Ansys, Autodesk (Revit, Inventor, AutoCAD), LaTeX
Languages:
- Spanish: Native
- German: Fluent (C1)
- English: Fluent (C1)
- French: Good proficiency (B1)