My research lies at the intersection of cognitive science, transportation systems engineering, artificial intelligence, and visualization design. I develop visual analytics interfaces that support human reasoning and real-time decision-making to enhance safety. My research particularly focuses on mixed-autonomy situations where automation and humans must coordinate tasks and collaborate effectively.
As for the design methodology, I try to transform domain constraints into visual representations that help people understand situations, anticipate consequences, and analyse what-if scenarios.
My expertise includes visual encoding and interactive prototype design, simulation development, and quantitative and qualitative evaluation through human-in-the-loop experiments.
Within AI, my work focuses on making explanations of machine-learning models responsive to the user’s task and context aiming to support them in making decisions more aligned with the operational goals of the system they control.
Awards and Distinctions
2026: Gunnar Sundblad Research Foundation Award 2026. 400,000 SEK
2025: Hans Werthén Scholarship. 190,000 SEK
2024: Verification for Utilization Grant within Transport and Mobility Profile by Linköping University Innovation Office. 49,400 SEK
2019: Best Poster Award at ECCE ’19 by European Association of Cognitive Ergonomics
Project Grants
2025 – 2027 KOMPLEX 2: 4 mSEK funded by the Swedish Transport Administration (Trafikverket)
Role: Scientific PI
2026-2029 RESOPS: 3 mSEK funded by VINNOVA
Role: Co-PI
