معرفی
Alexander Heimerl is a Researcher at the Chair for Human-Centered Artificial Intelligence, part of the Institute of Computer Science at the University of Augsburg. His work focuses on interdisciplinary research at the intersection of artificial intelligence, social robotics, and human-computer interaction. He is involved in projects such as FORSocialRobots, TherapAI, and the ForDigitStress dataset initiative, which aim to advance emotion recognition, stress detection, and explainable AI systems.
His research interests include multimodal behavior analysis, personalized training systems, and computational models of social emotions. Notably, he contributed to the development of NOVA, a tool for explainable cooperative machine learning, and earned a Best Paper Award at ACII 2019 for his work on affective computing.
He is affiliated with the Faculty of Applied Computer Science and collaborates with the Human-Centered AI team, including Prof. Dr. Elisabeth André and other researchers. His publications span topics like engagement estimation in social interactions, adversarial learning for feedback systems, and stress recognition via pupillometry.
