Philipp Reiser is a PhD researcher in Computer Science and Simulation Science at the University of Stuttgart with a decade of experience applying machine learning to robotics and computer vision. His work spans calibrated stereo localization, mobile image classification, and constraint optimization—skills honed through industry stints at ZF Group and Blum-Novotest and academic stays including Stanford. Trained in physics and robotics (Heidelberg, TUM), he bridges rigorous modeling with practical deployment on embedded and research platforms. Philipp’s profile combines deep theoretical grounding with hands-on systems experience, often focusing on real-world perception pipelines rather than purely theoretical models.
10 years of coding experience
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Ruprecht-Karls-Universität Heidelberg
Master of Science - MS, Robotics, Cognition, Intelligence, Master of Science - MS, Robotics, Cognition, Intelligence at Technische Universität München
PhD, Computer Science & Simulation Science, PhD, Computer Science & Simulation Science at University of Stuttgart
Research Stay, Research Stay at Stanford University
iOS App Architektur mit Kamera und Multi-Touch Integration
Contributions:2 PRs in 8 years 11 months
ios-apptouchswiftiosmit
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