Jan Treur has been a full professor of AI since 1990 and is a well-recognized expert in the area of multidisciplinary human-like AI modeling. He has published over 700 well-cited papers about cognitive, affective, and social modeling and AI systems making use of such computational models. He has also supervised more than 40 Ph.D. students in these areas. His research focuses on the modeling of higher-order adaptive processes by self-modeling network models with in 2016 and 2020 two Springer Nature books published about its foundation and application in various other disciplines. Concerning most recent and current research, one of the topics relating to psychology and neuroscience addresses mental processes based on internal mental models and their use by internal mental simulation, their learning or formation, and the control over them. A joint Springer Nature book about this came out in 2022. Another topic relating to social science and management science is computational modeling of multilevel organizational learning. A joint Springer Nature book about this is available from June 2023. Currently, the topic of multimodal social interaction and emerging synchronisation with its induced adaptive affiliation and bonding is addressed, relating to social psychology and social neuroscience. A joint Springer Nature book about this is planned to come out beginning of 2024. For more details, see https://www.researchgate.net/profile/Jan-Treur/research.