Till Beemelmanns

PHD Student at RWTH Aachen University

Aachen, North Rhine-Westphalia, Germany
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Summary

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Senior
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Top School
Till Beemelmanns is a PhD student and AI research scientist based in Aachen with a decade of experience focused on building reliable perception models—particularly explainable, robust, and probabilistic approaches for 3D scene understanding. He combines strong academic training (MSc with distinction from RWTH Aachen and a high-performing exchange at Michigan State) with hands-on industry collaboration, EU-funded projects, and teaching experience in automated driving and AI. His work spans LSTMs for trajectory prediction to current research integrating probabilistic methods into perception pipelines, aiming to make autonomous systems both interpretable and dependable. Colleagues value his ability to translate rigorous research into practical solutions for industry partners while mentoring the next generation of engineers.
code10 years of coding experience
job2 years of employment as a software developer
bookMaster of Science - MS, Computational Engineering Science, Graduated with distinction, Master of Science - MS, Computational Engineering Science, Graduated with distinction at RWTH Aachen University
bookComputer Science, Cumulative GPA 3.9 / 4.0, Computer Science, Cumulative GPA 3.9 / 4.0 at Michigan State University
bookBachelor of Science - BS, Mechanical Engineering, Cumulative GPA 1.1 / 1.0, Bachelor of Science - BS, Mechanical Engineering, Cumulative GPA 1.1 / 1.0 at České vysoké učení technické v Praze
languagesGerman, English, Spanish
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Github Skills (101)

3d-object-detection10
corona10
openmmlab10
detectron10
camera10
latex10
kitti-dataset10
object-detection10
depth-camera10
lidar10
point-cloud10
camera-calibration10
calibration10
computer-vision9
toolbox9

Programming languages (6)

C++CTeXHTMLJupyter NotebookPython

Github contributions (5)

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Simple exponential model for Covid-19 (corona) infections
Contributions:88 commits, 62 pushes in 8 months
exponentialinfectionsdatavisualization
Jupyter Notebooks for the MOOC "Automated and Connected Driving Challenges" available on edX.
Contributions:9 commits, 1 PR, 30 pushes in 4 months
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Till Beemelmanns - PHD Student at RWTH Aachen University