Raimund Schatz

Raimund Schatz is a Senior Scientist and Thematic Coordinator at the AIT Austrian Institute of Technology, where he leads research on Human-Centered Automation and Assistance. He also holds post-doctoral and lecturing positions at Alpen-Adria Universität Klagenfurt and Vienna University of Technology, respectively. His academic background includes a PhD in Informatics (TU Vienna), an MSc in Telematics (TU Graz), and certifications in Machine Learning (Stanford), Big Data Engineering (Yandex), and Data Science (Johns Hopkins).

Research Focus

Dr. Schatz's work spans Quality of Experience (QoE) in broadband networks, Extended Reality (XR) Training, Human-Computer Interaction (HCI), and Pervasive Computing. He specializes in video streaming optimization, accessibility for low-vision users, and immersive technologies for healthcare and industrial applications. His research integrates user behavior analysis with AI-driven network management.

Scientific Contributions

He has received multiple

• Best Paper Awards at PCS 2024, QoMEX 2022, and QoMEX 2020
• Finalist in the 5G Vienna Use Case Challenge (2019)

His 150+ publications focus on QoE modeling, adaptive streaming, and XR training effectiveness.

Projects

Current leadership includes

• METICOS (H2020): Predictive models for technology acceptance
• SHOTPROS (H2020): VR training for law enforcement under stress
• Zero 3 (FFG): AI-driven industrial automation
• XRTrain (AK Digifond): Healthcare training applications

Academic Affiliations

He actively participates in

• COST Actions (IC1003 Qualinet, IC1304 ACROSS)
• IEEE and ACM societies
• NGMN Alliance for mobile networks