Roman Pflugfelder
Visiting Scholar at Technical University of Munich
Perchtoldsdorf, Lower Austria
Summary
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Senior🎓
Top SchoolRoman Pflugfelder is a computer vision researcher and engineer with eight years of focused experience in dynamic perception, occlusion handling, and visual motion tracking across surveillance, robotics, and microscopy applications. Currently a Visiting Scholar at TUM and a Computer Vision Scientist at AIT, he blends hands-on algorithm development for embedded and multi-camera systems with successful acquisition and coordination of EU and national research projects. He has a strong academic pedigree (Dr. techn., M.Sc., Diplom) and teaching record, having lectured and mentored students in machine learning and visual computing. Roman’s practical expertise includes automated camera calibration, one-shot and non-overlapping-field tracking, and efficient implementations for resource-constrained platforms—skills honed through both postdoc and industry research roles. Notably, he pairs deep technical knowledge with project leadership and curriculum design, making him effective at translating cutting-edge research into applied systems.
8 years of coding experience
Vienna University of TechnologyMaster of Science - MS, Computer Science and Engineering, Master of Science - MS, Computer Science and Engineering at The University of QueenslandDr. techn. Wissenschaften, Computer Vision, 1.0, Dr. techn. Wissenschaften, Computer Vision, 1.0 at Technische Universität GrazHabilitation, Computer Science, Habilitation, Computer Science at Technische Universität München
English, German, FrenchGithub contributions (5)
romanp/event-based_vision_resources
Dec 2017 - Mar 2018
Contributions:12 pushes in 3 months
rpflugfelder/rpflugfelder.github.io
Mar 2022 - Mar 2022
Contributions:6 pushes, 1 branch in 1 day
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