معرفی
Dr. Luisa Roeder is a Research Fellow at the School of Information Systems, Queensland University of Technology (QUT), where she contributes to the Quantum Interaction Group and the Centre for Data Science. She holds a PhD and specializes in experimental motor and cognitive neuroscience, focusing on large-scale organization of complex systems like the brain and musculoskeletal system. Her current research integrates quantum physics principles to model human cognition and decision-making in Human-AI interactions, alongside electrophysiological studies of gait and movement disorders such as Parkinson’s disease. Luisa employs advanced techniques including EEG, EMG, and graph theory to analyze dynamic brain-muscle networks.
Her research interests span quantum cognition, neurophysiological control of movement, and the application of complex systems analysis to healthcare challenges. Notable projects include studying trust calibration in AI-human collaborations, age-related gait dynamics, and community-driven health initiatives in Torres Strait Islander populations. Luisa’s work bridges neuroscience with data science, emphasizing interdisciplinary approaches to understand neural and muscular coordination in health and disease.
Her publications highlight contributions to understanding corticospinal motor control, dance-based Parkinson’s rehabilitation, and telehealth efficacy in rural settings. While no specific awards are listed, her research demonstrates significant impact in neurotechnology, clinical neuroscience, and public health innovation. Advising and grants are not explicitly detailed, though her affiliation with QUT’s prestigious research centers suggests active collaboration and funding engagement.
Luisa is affiliated with the Quantum Interaction Group and Centre for Data Science, leveraging these platforms to advance theoretical and applied research in quantum cognition and biomedical data analysis. Her work aims to translate complex systems theory into practical solutions for neurological and healthcare challenges.
