Chercheur Doctorant Semantic Data Compression for Extended Reality in Aeronautic Industry H/F

Job description

Thesis title: Semantic Data Compression for Extended Reality in Aeronautic Industry Compression sémantiques de données pour la réalité étendue dans le secteur aéronautique Requirements: Scientific Fields: - Extended Reality Systems & Human–Computer Interaction (HCI) - Edge–Cloud Computing and Distributed Systems - Industrial Internet of Things (IIoT) - Signal Processing and Semantic Data Compression Keywords: - Data Compression - Extended Reality (XR) - Edge–Cloud Computing - Real-Time Streaming - Machine Learning Supervision: Thesis Director: - Samir OUCHANI, PhD., HDR., Research Director, Aix-en-Provence, France. Thesis Supervisor: - Hugues Marie KAMDJOU, PhD., Associate Professor Acknowledgment: This work is conducted as part of Campus Aero Adour (C2A) project funded by the government under the France 2030 Plan. 1 Research Work: Abstract: Aeronautical eXtended Reality (XR) deployments (maintenance assistance, inspection, and training) increasingly rely on rich 3D scenes, CAD/digital-twin assets, and multi-sensor streams that must be delivered in real time to mobile headsets. In operational settings, network connectivity is often unstable (hangars, tarmacs, factories), while XR d...