My research interest lies in the area(s) of Artificial Intelligence, Cognitive Science and Human-Robot Interaction, more specifically in building robotic systems that can communicate appropriately with human users. This is relevant to both industrial and service robotic systems, but even to interfaces for the surveillance of (semi)autonomous systems (cars, drones, ships) as the demands on flexibility, ease-of-use and human-comprehensible setup and configuration are increasing. During my PhD project on Human Augmented Mapping I observed several interesting phenomena in an interactive home tour scenario, which inspired my further research on firstly detecting and possibly finding solutions to ambiguities arising from mismatches in human and robotic expectations and understanding of concepts. In short, my research tries to establish common ground between humans and machines (robotic systems) by applying AI methods to analysing and modelling the interaction between humans and robots or other (autonomous) systems. 

I am mainly teaching in advanced undergraduate courses close to my field of research, i.e. courses in Artificial Intelligence, Intelligent Autonomous Systems, and Machine Learning. Since July 2022, I am part of the Pedagocial Academy at LTH and carry the title "Excellent Teaching Practitioner". I am involved also in graduate level education, both by being member of the (national) WASP Graduate School Management group and the (Lund University based) COMPUTE Graduate School Steering group, and by planning and teaching in courses organised by these graduate schools, e.g. for spring 2023 there will be a WASP course on Interaction, Collaboration, and Visualisation that I am coordinating.