Prof. Dr. Xenia Kobeleva serves as Professor and head of the Department of Neurostimulation within the Faculty of Medicine at Ruhr University Bochum (RUB). She concurrently leads the Computational Neurology Research Group, directing interdisciplinary efforts at the intersection of computational science and clinical neuropsychiatry. Her research program focuses on developing and applying computational methodologies—including machine learning, artificial intelligence, and whole-brain network modeling—to analyze clinical and neuroimaging data. This dual approach of data-driven and theory-based modeling aims to decode pathophysiological mechanisms in neuropsychiatric disorders, with direct translational goals for neurostimulation-based diagnostics and therapies. Key application areas include Alzheimer's disease, Lewy body dementia, amyotrophic lateral sclerosis (ALS), and movement disorders. Analysis of her 2016-2024 publications reveals a consistent trajectory in computational neurology, characterized by innovative network-level analyses of neurodegenerative conditions. Her work demonstrates particular expertise in integrating multimodal neuroimaging with advanced modeling techniques to identify disease-specific biomarkers and network alterations, bridging computational neuroscience with clinical practice. Prof. Kobeleva directs both the Department of Neurostimulation and Computational Neurology Research Group at RUB, fostering collaboration between neurologists, psychiatrists, computer scientists, and engineers. These teams operate from room MB 6/189 at Universitätsstraße 150 in Bochum, developing computational tools and neurostimulation protocols for neuropsychiatric disorders.



