Current Group Members

Richard Zowalla


Web-Crawling & Text Mining

Yasmin Hollenbenders

PhD Candidate

KIDD: EEG biomarkers for depression

Friedrich Carrle

PhD Candidate

Data engineering for EEG-based biomarker research

Current Students

Janik S.: Multivariate Study on EEG Frequency Band Biomarkers for Diagnostic Classification of Major Depressive Disorder (BSc Thesis)

Mariam H.: Early Detection of Major Depressive Disorder Using Electroencephalography Connectivity Features for Clinical Decision Support (BSc Thesis)

Previous Group Members

Katrin Andraschko, Research Assistant

Previous MSc Students

Jan Lucca Patzelt: Automated Feature Selection of Brain Anatomy Data in Alzheimer’s Patients Using Genetic Algorithms and Hidden Markov Models (Research Project)

Navid Jamalipourkandeh & Mathan Maheswaran: Systematic Review of EEG-Based Diagnostics of Major Depressive Disorder: Robustness of Features and Classification Approaches (Research Project)

Friedrich Carrle: Generation of synthetic EEG data for training algorithms supporting the diagnosis of major depressive disorder

Sebastian King: Generation of Synthetic 3D MRI Data for Schizophrenie Diagnosis based on Generative Methods (manuscript in preparation for peer-review)

Yasmin Hollenbenders: Two routes to Alzheimer’s disease based on differential structural changes in key brain regions

Fabian Schmidt: A general data schema and robust processing package for gait data analytics and their evaluation with six publicly available data sets

Erenik Krasniqi: Data-driven stratification of Parkinson’s disease patients based on the progression of motor and cognitive disease markers

Katrin Andraschko: Stratification of patients with Alzheimer’s disease based on clustering longitudinal neuroimaging data with neural networks

Stefanie Ziegler: Stratification of patients with Alzheimer’s disease based on longitudinal neuropsychological tests