Daniel Roth

Prof. Dr. Daniel Roth is a Professor of Machine Intelligence in Orthopedics at the TUM School of Medicine and Health at Technical University of Munich (TUM), appointed in September 2023. His research focuses on human-machine interfaces in medicine, including AI, virtual/augmented reality (XR) technologies for surgical assistance systems, disease diagnosis, and rehabilitation. Previously, he held a junior professorship in Human-Centered Computing and Extended Reality at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU).

Education:

• Bachelor's/Master's in Media and Imaging Technology (TH Köln)
• PhD in Computer Science (Julius-Maximilians-Universität Würzburg)

Research Interests: Roth’s work integrates AI and extended reality to solve healthcare challenges. Key areas include:

• XR-based surgical training and teleconsultation systems
• AI-driven analysis of surgical workflows
• Embodiment in virtual environments for medical applications
• Accessibility technologies for visually impaired users

Publications: Recent work emphasizes immersive medical visualization, telemedicine systems, and user embodiment in VR. Key themes include:

• XR applications in surgery and patient care
• 3D teleconsultation for emergency scenarios
• AI-enhanced anatomy visualization

Awards:

• Best Demo Honorable Mention (IEEE VR, 2021)
• Best Poster Award (ISMAR, 2020)
• IEEE TVCG Best Journal Paper (2018)

Grants & Teams: Active in interdisciplinary projects at Klinikum rechts der Isar. Collaborates with industry partners on AR/VR healthcare solutions. No formal advisee list is provided, but his work involves multi-disciplinary teams.

Labs/Teams: Leads machine intelligence initiatives in TUM’s medical school, focusing on translational research between engineering and clinical practice.