Areas of work/research

David Dzsotjan specializes in developing potential future learning environments in STEM education, particularly in physics. His activity takes place at the intersection of physics, mixed reality, eye tracking and machine learning. Integrating these into a multi-representational learning environments allows for a more efficient and enjoyable learning process. The mixed reality (MR) module of the system provides an enhanced user experience and interaction possibilities for the learner. The AI module (powered by machine learning models trained on eye tracking and interaction data) not only offers adaptive feedback to the learner to help understand the concept at hand, but also helps gaining insight into the cognitive processes and potential learning gain of the user.

He is also one of the local coordinators in the DigiQ European Quantum Technology Master Program at LMU Munich.

Short biography

David Dzsotjan has been working as a post-doctoral researcher at LMU Munich since 2023. Previously, he has been doing research at RPTU Kaiserslautern between 2017 and 2023 where he at first investigated the behaviour of polarons – quantum systems consisting Bose-Einsteins condensates and impurity particles – at finite temperatures; subsequently he switched his field of studies to physics education research combined with the application of artificial intelligence.

In the years 2013-2017, he was working at the University of Burgundy in Dijon, France as well as in the Wigner Research Center in Budapest, Hungary, continuing his PhD topic, interaction of plasmons of metallic nanostructures with quantum emitters. He received his PhD in the aforementioned topic in 2012.