Rene van Paassen
Software Engineer
Delft, South Holland, Netherlands
Summary
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RockstarRene van Paassen is a software engineer and associate professor based in Delft with 26 years of experience at the intersection of simulation and human–machine interaction. He blends deep academic expertise in haptics, interfaces, cognition and motion perception with practical engineering—contributing back-end code to prominent open-source projects like the Python Control Systems Library to improve frequency-response (FRD) handling and MIMO support. Rene excels at turning complex control-theory and human-factors problems into robust, test-covered software, and his work often targets the subtle edges where human perception and automated systems meet. Colleagues know him for rigorous validation of algorithms and an eye for correcting corner-case behavior in control computations. He brings a research-driven mindset to software development, coupling empirical insight into human error and training with production-quality code.
26 years of coding experience
Github Skills (4)
control-systems10
numpy10
python10
scipy7
Programming languages (14)
Github contributions (5)
python-control/python-control
Oct 2012 - Jul 2020
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 94 commits, 14 PRs in 7 years 10 months
Contributions summary:Rene made several commits focused on developing the `FRD` (Frequency Response Data) class within the Python control systems library. Their contributions centered around implementing and refining the `FRD` class's functionality, including methods for multiplication, division, and evaluation, as well as the handling of MIMO (multi-input, multi-output) systems. The user also worked on correcting margin calculations for systems and adding tests to confirm the validity of the implementation. These changes aimed to expand the capabilities and ensure the accuracy of frequency response analysis within the library.
control-systemspythonpython-modules
repagh/moodle-auth_saml2
Feb 2022 - Apr 2025
SAML done 100% in Moodle, fast, simple, secure
Contributions:6 pushes, 3 branches in 3 years 2 months
securesamlmoodle
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