Alexandra Moringen

Alexandra Moringen is a postdoctoral researcher at the Institute for Data Science, University of Greifswald. Her work bridges robotics, cognitive science, and machine learning, focusing on modeling complex cognitive behaviors and optimizing human-robot interaction with limited multimodal data.

• Studied Mathematics and Computer Science at Kiel University
• PhD in Bayesian and computational statistics at Bielefeld University

Research interests include:

• Development of reinforcement learning (RL)-based models for haptic 3D shape exploration in robots
• Analysis of human haptic puzzle-solving using multimodal data (marker trajectories, joint angles, tactile sensors)
• AI applications in artistic creativity and sports training optimization
• Human-centric systems for medical training, healthy aging, and motor skill acquisition

Her article trends highlight interdisciplinary innovation in robotics and education:

• 2021 arXiv paper on piano practice optimization with generative AI and exoskeletons
• 2020 PLOS ONE study on tactile sensor array efficiency in shape exploration
• 2016 IEEE Haptics Symposium work on sensorimotor learning in 3D displays