Jan Zwiener

Professor at Fachbereich Elektrotechnik und Informationstechnik Hochschule Darmstadt

Greater Karlsruhe Area Germany
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Summary

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Rockstar
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Top School
Jan Zwiener is a professor and systems engineer with 16 years of experience specializing in geodesy, computer vision, and multicopter flight control, combining deep academic credentials (Dr.-Ing. from TU Darmstadt) with hands-on industry work at organizations like CERN, Daimler, Robert Bosch, microdrones, and early at Volocopter. He led Flight Control & Navigation at Volocopter, helping turn experimental VTOL prototypes into production-capable systems and living "the code" that ensures safe autonomous flight. Jan bridges research and practice, teaching at Hochschule Karlsruhe while driving applied research and development that spans sensor fusion, navigation algorithms, and robust control for aerial vehicles. His background in precision surveying and geomatics informs a measured, data-driven approach to perception and state estimation in robotics. Colleagues value him for translating complex theoretical concepts into reliable flight software used in real-world demonstrations and commercial programs. Based in the Greater Karlsruhe area, he continues to blend academic leadership with industrial impact at the intersection of aerospace and geospatial engineering.
code17 years of coding experience
bookM. Sc., Vermessung & Geomatik, 1,0, M. Sc., Vermessung & Geomatik, 1,0 at Hochschule Karlsruhe – Technik und Wirtschaft / University of Applied Sciences
bookTechnischen Universität Darmstadt
languagesGerman, English
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Github Skills (34)

nonlinear10
simulation10
c-language10
solver10
simulink10
virtual-machine10
interpreter10
model-predictive-control10
bytecode10
embedded10
matlab9
kalman-filter9
nonlinear-model-predictive-control9
x-plane9
optimization9

Programming languages (4)

TypeScriptCVim ScriptPython

Github contributions (5)

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jnz/KFCore

Oct 2024 - Jul 2026

A lightweight, high-performance Kalman Filter library in C, C++, and MATLAB, offering superior numerical stability and efficiency with minimal dependencies.
Contributions:1 release, 25 pushes, 1 branch in 1 year 9 months
cppkalman-filtermatlab
jnz/PyRocketCraft

Dec 2023 - Apr 2025

Rocket Simulation, Reinforced Learning and Predictive Control
Contributions:3 PRs, 52 pushes, 4 branches in 1 year 4 months
simulation
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