Researcher PHD Student at Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
Kaiserslautern, Rhineland-Palatinate, Germany
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Summary
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Senior
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Top School
Abdul Khan is a Researcher and PhD student at DFKI with 11 years of industry and research experience in applied AI, specializing in computer vision, multi-view geometry, and autonomous driving. He combines academic rigor from a MSc in Informatics (TUM) and a strong practical track record across startups and corporate labs—roles ranging from computer vision researcher at VISCOPIC to a master’s thesis at Infineon. His work spans end-to-end CV systems, low-cost sensing for biodiversity, and web engineering, reflecting an ability to move between prototype research and production-ready solutions. Based in Kaiserslautern, he brings a pragmatic research style that often favors multi-view geometry approaches for real-world perception problems. An understated strength is his consistent focus on applied, deployable vision pipelines rather than purely theoretical contributions.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Informatics, 1.9, Master of Science - MS, Informatics, 1.9 at Technical University Munich
Bachelor of Science - BS, Computer Science, 3.59, Bachelor of Science - BS, Computer Science, 3.59 at National University of Sciences and Technology (NUST)
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
Contributions:1 PR, 53 pushes, 1 branch in 2 years 2 months
pytorchvision-transformerwindowsvisiondetection
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Abdul Khan - Researcher PHD Student at Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)