Stefan Sarkadi
About Stefan Sarkadi
Stefan Sarkadi is an Associate Researcher currently affiliated with the Royal Academy of Engineering as a UK IC Research Fellow since 2022. He has extensive experience in academia, having held various positions at institutions such as King's College London and Inria, and he specializes in interdisciplinary approaches to understanding agent reasoning and behavior in multi-agent systems.
Current Work at Royal Academy of Engineering
Stefan Sarkadi serves as an RAEng UK IC Research Fellow at the Royal Academy of Engineering in London since 2022. His fellowship is set for a duration of two years, during which he focuses on interdisciplinary research that integrates methodologies from various fields.
Experience at Inria
Stefan Sarkadi has been associated with Inria as an Associate Researcher since 2021. Prior to this role, he worked as a Postdoctoral Research Fellow at the same institution for one year, from 2020 to 2021. His work at Inria emphasizes the development of interdisciplinary approaches in research.
Academic Background and Education
Stefan Sarkadi holds a Doctor of Philosophy (PhD) in Artificial Intelligence from King's College London, which he completed from 2016 to 2020. He also studied at the Massachusetts Institute of Technology, where he achieved a Visiting Doctor of Philosophy in 2018. Additionally, he earned a Master of Science (MSc) in Cognitive Science from The University of Edinburgh from 2014 to 2015 and a Bachelor of Arts with Honours (B.A. Hons) in Philosophy from West University of Timisoara from 2011 to 2014.
Teaching Roles at King's College London
Stefan Sarkadi has held multiple teaching positions at King's College London. He worked as a Graduate Teaching Assistant from 2016 to 2020 and later as a Postdoctoral Research Associate in 2022. Currently, he is a Proleptic Lecturer at King's College London, a position he has held since 2023.
Research Focus and Methodologies
Stefan Sarkadi's research focuses on understanding agent reasoning and behavior within multi-agent systems and social environments, particularly in hybrid societies. He develops interdisciplinary approaches by integrating methodologies from philosophy, psychology, sociology, intelligence analysis, and communication theory.