The training and research experience of Ali Tabesh, PhD, are in signal and image processing, image analysis, computer-aided diagnosis, and magnetic resonance imaging (MRI). His current research interests include post-processing for diffusional kurtosis imaging (DKI) and other diffusion MRI techniques. Specifically, signal processing methods are being investigated for accurate estimation of quantitative DKI metrics in the presence of noise and other imaging imperfections. Another area of interest is DKI fiber tractography to create visual and quantitative maps of the neural connections in the brain. DKI-based markers of neuronal microstructure and connectivity are being investigated in the study of neurological and psychiatric disorders such as epilepsy, stroke, developmental deficits, neurodegenerative disorders, and schizophrenia. Tabesh is also interested in the application of computer-aided diagnosis methods to predict disease state in brain disorders. Specifically, image analysis and high-dimensional pattern recognition techniques are being applied to aggregate quantitative imaging biomarkers and clinical measures in order to provide accurate and objective disease diagnosis and treatment response prediction.