Research & Publications
Human-centred AI research spanning explainable AI, mixed reality, responsible AI governance and efficient machine learning for safety-critical and real-world systems.
Research Experience
Visiting Researcher
Imperial College London
April 2026 – May 2026
London, United Kingdom
Contributed to an international multimodal augmented-reality research collaboration involving Imperial College London, TU Wien, the Stanford Center at Incheon and Sungkyunkwan University.
Developed and evaluated an explainable-AI-based mixed-reality decision-support prototype and conducted user studies with UK firefighting stakeholders.
Publications
Situated Explainability for Safety-Critical Mixed Reality: Design Positions from an MR-XAI Firefighting Prototype
XR-SPro Workshop at IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2026
First author and presenter — Panner, E.; Scheffer, S.; Matyas, K.
Towards Responsible AI in Safety-Critical Human-Machine Systems: A Literature-Based Governance Framework
IEEE International Conference on Human-Machine Systems (ICHMS) 2026
First author and presenter — Panner, E.; Scheffer, S.; Matyas, K.
Neural Caching: Improving Longevity of Smart IoT Devices Running Artificial Neural Networks
LongevIoT 2025 Workshop
Co-author — Sallinger, C.; Stippel, C.; Panner, E.; Poschenreither, P.; Hoch, R.; Schwendinger, B.
Awards & Recognition
Dieberger-Skalicky Scholarship (€4,000)
2026
e-fellows.net Scholar
Scholarship network
OpenAI Berlin Hack — 3rd Place
{Tech: Europe} x OpenAI, 2025
Junction Helsinki — 2nd Place
Junction Hackathon, 2025
EPFL EEG Project Competition — 2nd Place
EPFL, 2025