معرفی
Dr. Defne Abur is a researcher in the Faculty of Arts at the University of Groningen, specializing in Computational Linguistics. Her work focuses on the intersection of speech science, neuroscience, and clinical applications, particularly examining speech production in neurological disorders and post-surgical conditions.
- Faculty of Arts, University of Groningen
- Computational Linguistics Department
- Active researcher with numerous publications (48 research outputs)
Dr. Abur's research centers on speech production mechanisms, with particular emphasis on Parkinson's disease, oral cancer rehabilitation, and voice disorders. Her work combines acoustic, kinematic, and perceptual analysis to understand speech motor control in both typical and disordered populations. She investigates how neurological conditions affect articulatory movements and acoustic output, with applications in clinical assessment and rehabilitation.
Her recent publications demonstrate a strong focus on methodological innovation, particularly in mobile data collection (SPRAAKLAB) and multimodal assessment approaches. The research shows consistent investigation of Parkinson's disease across multiple dimensions including sex differences, phenotypic variations, and sensorimotor control mechanisms. Her work on oral cancer rehabilitation represents a significant clinical application of speech science.
- Active presenter at academic conferences (12 academic presentations in 2024)
- Public speaker on voice and health connections
- Collaborator with multiple international researchers
Dr. Abur actively collaborates with clinicians and researchers across disciplines, participating in projects that bridge basic speech science with clinical applications. Her work contributes to Sustainable Development Goals related to health and well-being, particularly through developing better assessment tools for speech disorders. She appears to be involved in laboratory work through the SPRAAKLAB mobile laboratory initiative, which enables field data collection in diverse settings.
