Dr. Tsiakas, K.

Konstantinos Tsiakas  is a Postdoc at the Faculty of Industrial Design Engineering exploring human-AI interaction, explainable AI, interactive machine learning, user modeling, personalization. His research focuses on how to design ethical and transparent human-AI interactions to enhance the collaboration between AI researchers, designers and end-users, investigating the potential of AI in the future of work, wellbeing and education.

Academic Background

In 2020, he joined the Industrial Design department at TU/e, as a postdoctoral researcher working on Explainable AI and user profiling methods to support self-regulated learning in students. In 2018, he joined the Yale Department of Psychiatry as a postdoctoral researcher, working on computational methods (machine learning and computer vision) to assess children’s executive functioning through body movements (embodied cognition). He was awarded a Ph.D. in Computer Science in 2018 from the University of Texas at Arlington. His PhD research focused on the design and implementation of personalization methods for social assistive robots and cognitive training.

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