Peter Mohr-Ziak

Peter Mohr-Ziak is a researcher affiliated with both the Institute of Computer Graphics and Vision at the University of Technology Graz (TU Graz) and VRVis Forschungs GmbH. His primary focus areas include Augmented Reality (AR) and Mixed Reality (MR) systems, specifically in the domains of AR visualization, content generation for AR, and head-mounted display (HMD) technologies. He is actively involved in projects with AVL List GmbH in addition to his academic research.

• Academic Rank: Researcher at TU Graz
• Education: Telematics, TU Graz

Peter's research interests center on creating interactive AR systems with applications in industrial assembly, remote assistance, and education. His work spans technical aspects of AR visualization and practical implementations for skill training (e.g., guitar tutorials) and complex tasks like maxillofacial surgery. He investigates spatial rendering techniques, adaptive perspective models, and light field applications in mixed reality environments.

Recent research trends include:

• 2024: Expanding into human-robot interaction and AR affordance templates
• 2023: Developing interactive guitar tutorials and state-aware configuration detection systems
• 2022: Advancing focus cues in video see-through MR and assembly instruction authoring
• 2019-2020: Improving HMD interaction with TrackCap and light field remote assistance
• 2017: Creating adaptive perspective rendering and video tutorial retargeting systems

Scientific recognition includes:

• 2021: ISMAR Best Conference Paper
• 2017: CHI Best Paper Honorable Mention

He contributes to projects at TU Graz's Institute of Computer Graphics and Vision, including collaborations with VRVis Forschungs GmbH and AVL List GmbH, while maintaining personal interests in photography and drone flying.