Computer vision, multimodal sensing, robotics, AI safety
About
Works across 2D and 3D computer vision and multimodal perception for segmentation, tracking, and real-time human-robot interaction, combined with uncertainty estimation and out-of-domain detection in deep learning to enable practical AI safety and dependable automation.
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SG
Seyed eghbal Ghobadi
Principal Investigator
University of Applied Sciences Zwickau
Work experience
University of Applied Sciences Zwickau
Principal Investigator
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Open to opportunities in
Artificial IntelligenceData ScienceElectricalInternet of ThingsMachine LearningOptics & Lasers
Last updated Jan 2026
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